{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,18]],"date-time":"2026-10-18T04:40:16Z","timestamp":1792298416664,"version":"4.4.0"},"reference-count":295,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2027,3,1]],"date-time":"2027-03-01T00:00:00Z","timestamp":1803859200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2027,3,1]],"date-time":"2027-03-01T00:00:00Z","timestamp":1803859200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2027,3,1]],"date-time":"2027-03-01T00:00:00Z","timestamp":1803859200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2027,3,1]],"date-time":"2027-03-01T00:00:00Z","timestamp":1803859200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2027,3,1]],"date-time":"2027-03-01T00:00:00Z","timestamp":1803859200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2027,3,1]],"date-time":"2027-03-01T00:00:00Z","timestamp":1803859200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2027,3,1]],"date-time":"2027-03-01T00:00:00Z","timestamp":1803859200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Clinica Chimica Acta"],"published-print":{"date-parts":[[2027,3]]},"DOI":"10.1016\/j.cca.2026.122885","type":"journal-article","created":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T15:52:00Z","timestamp":1791561120000},"page":"122885","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Beyond blood pressure: AI-assisted multi-omics biomarker stratification for stroke risk in hypertension: clinical chemistry, analytical validation, and translational perspectives"],"prefix":"10.1016","volume":"594","author":[{"given":"Zhaohong","family":"Gao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junfeng","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Deyou","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.cca.2026.122885_bb0005","doi-asserted-by":"crossref","first-page":"3912","DOI":"10.1093\/eurheartj\/ehae178","article-title":"2024 ESC guidelines for the management of elevated blood pressure and hypertension","volume":"45","author":"McEvoy","year":"2024","journal-title":"Eur. Heart J."},{"key":"10.1016\/j.cca.2026.122885_bb0010","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1161\/HYPERTENSIONAHA.123.19943","article-title":"Cerebral small vessel disease, hypertension, and vascular contributions to cognitive impairment and dementia","volume":"81","author":"Hainsworth","year":"2024","journal-title":"Hypertens. (Dallas, Tex. 1979)"},{"key":"10.1016\/j.cca.2026.122885_bb0015","doi-asserted-by":"crossref","first-page":"8811","DOI":"10.2174\/0109298673311734240718064511","article-title":"Markers of vascular dysfunction in hypertension","volume":"32","author":"Tsigkou","year":"2025","journal-title":"Curr. Med. Chem."},{"key":"10.1016\/j.cca.2026.122885_bb0020","doi-asserted-by":"crossref","DOI":"10.1002\/mco2.651","article-title":"Endothelial dysfunction: molecular mechanisms and clinical implications","volume":"5","author":"Wang","year":"2024","journal-title":"MedComm"},{"key":"10.1016\/j.cca.2026.122885_bb0025","doi-asserted-by":"crossref","first-page":"8751","DOI":"10.2174\/0109298673348789250604113545","article-title":"Inflammatory biomarkers in hypertension","volume":"32","author":"Tsioufis","year":"2025","journal-title":"Curr. Med. Chem."},{"key":"10.1016\/j.cca.2026.122885_bb0030","doi-asserted-by":"crossref","first-page":"8765","DOI":"10.2174\/0109298673325682241114162014","article-title":"Oxidative stress biomarkers in hypertension","volume":"32","author":"Fountoulakis","year":"2025","journal-title":"Curr. Med. Chem."},{"key":"10.1016\/j.cca.2026.122885_bb0035","doi-asserted-by":"crossref","DOI":"10.3390\/biomedicines12081731","article-title":"Comparative targeted metabolomics of ischemic stroke: thrombi and serum profiling for the identification of stroke-related metabolites","volume":"12","author":"Karmeli\u0107","year":"2024","journal-title":"Biomedicines"},{"key":"10.1016\/j.cca.2026.122885_bb0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.cca.2023.117652","article-title":"The identification of novel stroke-related sphingolipid biomarkers using UPLC-MS\/MS","volume":"552","author":"Yang","year":"2024","journal-title":"Clin. Chim. Acta"},{"key":"10.1016\/j.cca.2026.122885_bb0045","doi-asserted-by":"crossref","first-page":"8885","DOI":"10.2174\/0109298673324637240930140545","article-title":"Thrombosis in hypertension: pathophysiology, biomarkers, and the effect of antihypertensive treatment","volume":"32","author":"Theofilis","year":"2025","journal-title":"Curr. Med. Chem."},{"key":"10.1016\/j.cca.2026.122885_bb0050","doi-asserted-by":"crossref","first-page":"8855","DOI":"10.2174\/0109298673348953250310044927","article-title":"Microalbuminuria as a prognostic marker in essential hypertension","volume":"32","author":"Dimitriadis","year":"2025","journal-title":"Curr. Med. Chem."},{"key":"10.1016\/j.cca.2026.122885_bb0055","first-page":"1911","article-title":"Impaired kidney function, cerebral small vessel disease and cognitive disorders: the Framingham heart study","volume":"39","author":"Kelly","year":"2024","journal-title":"Nephrol. Dial. Transplant. Off. Publ. Eur. Dial. Transpl. Assoc. - Eur. Ren. Assoc."},{"key":"10.1016\/j.cca.2026.122885_bb0060","doi-asserted-by":"crossref","DOI":"10.3390\/biomedicines12030608","article-title":"The importance of increased serum GFAP and UCH-L1 levels in distinguishing large vessel from small vessel occlusion in acute ischemic stroke","volume":"12","author":"Kraljevi\u0107","year":"2024","journal-title":"Biomedicines"},{"key":"10.1016\/j.cca.2026.122885_bb0065","article-title":"Biomarkers for early detection of stroke: a","volume":"16","author":"Anwar","year":"2024","journal-title":"Systematic Review., Cureus"},{"key":"10.1016\/j.cca.2026.122885_bb0070","doi-asserted-by":"crossref","first-page":"915","DOI":"10.21037\/cdt-2025-76","article-title":"Emerging exosomal biomarkers for essential hypertension: a systematic review","volume":"15","author":"Zhong","year":"2025","journal-title":"Cardiovasc. Diagn. Ther."},{"key":"10.1016\/j.cca.2026.122885_bb0075","doi-asserted-by":"crossref","first-page":"120","DOI":"10.5049\/EBP.2026.24.e8","article-title":"The role of extracellular vesicles in the pathogenesis of hypertension","volume":"24","author":"Jeong","year":"2026","journal-title":"Electrolyte Blood Press."},{"key":"10.1016\/j.cca.2026.122885_bb0080","doi-asserted-by":"crossref","first-page":"5421","DOI":"10.1021\/acs.jproteome.4c00559","article-title":"Multiomics profiling of plasma reveals molecular alterations prior to a diagnosis with stroke among Chinese hypertension patients","volume":"23","author":"Zeng","year":"2024","journal-title":"J. Proteome Res."},{"key":"10.1016\/j.cca.2026.122885_bb0085","doi-asserted-by":"crossref","first-page":"703","DOI":"10.1038\/s43587-026-01081-7","article-title":"Identification of distinct and shared biomarker panels in different manifestations of cerebral small-vessel disease through proteomic profiling","volume":"6","author":"Hristovska","year":"2026","journal-title":"Nat. Aging"},{"key":"10.1016\/j.cca.2026.122885_bb0090","article-title":"Multi-omics and experimental validation identify GPX7 and glutathione-associated oxidative stress as potential biomarkers in ischemic stroke","volume":"14","author":"Li","year":"2025","journal-title":"Antioxidants (Basel, Switzerland)"},{"key":"10.1016\/j.cca.2026.122885_bb0095","doi-asserted-by":"crossref","DOI":"10.3390\/ijms27010502","article-title":"Mapping the ischemic continuum: dynamic multi-Omic biomarker and AI for personalized stroke care","volume":"27","author":"Grigorean","year":"2026","journal-title":"Int. J. Mol. Sci."},{"key":"10.1016\/j.cca.2026.122885_bb0100","doi-asserted-by":"crossref","DOI":"10.3390\/ijms27135984","article-title":"Multi-omics integration in stroke: neuroinflammatory endotypes, immune cell crosstalk, and precision biomarker discovery","volume":"27","author":"Ardic","year":"2026","journal-title":"Int. J. Mol. Sci."},{"key":"10.1016\/j.cca.2026.122885_bb0105","doi-asserted-by":"crossref","first-page":"817","DOI":"10.1042\/CS20220797","article-title":"Vascular remodelling in cardiovascular diseases: hypertension, oxidation, and inflammation","volume":"138","author":"Toto\u0144-\u017bura\u0144ska","year":"2024","journal-title":"Clin. Sci."},{"key":"10.1016\/j.cca.2026.122885_bb0110","doi-asserted-by":"crossref","first-page":"72","DOI":"10.31083\/j.rcm2502072","article-title":"Molecular mechanisms underlying vascular remodeling in hypertension","volume":"25","author":"Zeng","year":"2024","journal-title":"Rev. Cardiovasc. Med."},{"key":"10.1016\/j.cca.2026.122885_bb0115","article-title":"Increased serum galectin-3 level is associated with endothelial dysfunction and cardiovascular events in patients with hypertension","volume":"11","author":"Wang","year":"2025","journal-title":"Heliyon"},{"issue":"2024","key":"10.1016\/j.cca.2026.122885_bb0120","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1161\/HYPERTENSIONAHA.123.21618","article-title":"Recommendations for validation of noninvasive arterial pulse wave velocity measurement devices","volume":"81","author":"Spronck","year":"2024","journal-title":"Hypertens. (Dallas, Tex. 1979)"},{"key":"10.1016\/j.cca.2026.122885_bb0125","doi-asserted-by":"crossref","DOI":"10.3390\/jcm15041498","article-title":"Albuminuria as a key factor associated with ambulatory arterial stiffness: a hierarchical multivariable analysis","volume":"15","author":"Lule","year":"2026","journal-title":"J. Clin. Med."},{"key":"10.1016\/j.cca.2026.122885_bb0130","doi-asserted-by":"crossref","first-page":"8835","DOI":"10.2174\/0109298673349473250410132823","article-title":"Endothelial function biomarkers in hypertension","volume":"32","author":"Vlachakis","year":"2025","journal-title":"Curr. Med. Chem."},{"key":"10.1016\/j.cca.2026.122885_bb0135","doi-asserted-by":"crossref","first-page":"1175","DOI":"10.1016\/j.numecd.2024.01.010","article-title":"Asymmetric dimethylarginine (ADMA) is associated with reduced myocardial mechano-energetic efficiency in hypertensive subjects","volume":"34","author":"Cefalo","year":"2024","journal-title":"Nutr. Metab. Cardiovasc. Dis."},{"key":"10.1016\/j.cca.2026.122885_bb0140","doi-asserted-by":"crossref","first-page":"794","DOI":"10.1038\/s41440-023-01542-1","article-title":"How can endocan be used as a specific biomarker of endothelial dysfunction in hypertension?","volume":"47","author":"Hirooka","year":"2024","journal-title":"Hypertens. Res."},{"key":"10.1016\/j.cca.2026.122885_bb0145","article-title":"Identification of key biomarkers of endothelial dysfunction in hypertension with carotid atherosclerosis based on WGCNA and the LASSO algorithm","volume":"10","author":"Wang","year":"2024","journal-title":"Heliyon"},{"key":"10.1016\/j.cca.2026.122885_bb0150","doi-asserted-by":"crossref","DOI":"10.1016\/j.arr.2024.102247","article-title":"Blood-based biomarkers of cerebral small vessel disease","volume":"95","author":"Wu","year":"2024","journal-title":"Ageing Res. Rev."},{"key":"10.1016\/j.cca.2026.122885_bb0155","doi-asserted-by":"crossref","DOI":"10.1016\/j.ebiom.2024.105095","article-title":"MMP-9 release into collateral blood vessels before endovascular thrombectomy to assess the risk of major intracerebral haemorrhages and poor outcome for acute ischaemic stroke: a proof-of-concept study","volume":"103","author":"Kollikowski","year":"2024","journal-title":"EBioMedicine"},{"key":"10.1016\/j.cca.2026.122885_bb0160","doi-asserted-by":"crossref","DOI":"10.1002\/jex2.70008","article-title":"Choice of blood collection methods influences extracellular vesicles counts and miRNA profiling","volume":"3","author":"Tran","year":"2024","journal-title":"J. Extracell. Biol."},{"key":"10.1016\/j.cca.2026.122885_bb0165","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1161\/CIRCULATIONAHA.124.071079","article-title":"Albuminuria in cardiovascular, kidney, and metabolic disorders: a state-of-the-art review","volume":"151","author":"Claudel","year":"2025","journal-title":"Circulation"},{"key":"10.1016\/j.cca.2026.122885_bb0170","doi-asserted-by":"crossref","DOI":"10.3390\/biom14080948","article-title":"Inflammation: is it a healer, confounder, or a promoter of cardiometabolic risks?","volume":"14","author":"Tate","year":"2024","journal-title":"Biomolecules"},{"key":"10.1016\/j.cca.2026.122885_bb0175","doi-asserted-by":"crossref","DOI":"10.3390\/antiox13121454","article-title":"Oxidative stress in kidney injury and hypertension","volume":"13","author":"Arendshorst","year":"2024","journal-title":"Antioxidants"},{"key":"10.1016\/j.cca.2026.122885_bb0180","doi-asserted-by":"crossref","first-page":"99","DOI":"10.2174\/0118715257282030240130095754","article-title":"Redox-signalling and redox biomarkers in cardiovascular health and disease","volume":"23","author":"Sultana","year":"2025","journal-title":"Cardiovasc. Hematol. Agents Med. Chem."},{"key":"10.1016\/j.cca.2026.122885_bb0185","doi-asserted-by":"crossref","DOI":"10.3390\/ijms26136195","article-title":"Slevin, mCRP-associated vascular pathophysiology in progression and outcome of intracerebral hemorrhage","volume":"26","author":"\u0218alari","year":"2025","journal-title":"Int. J. Mol. Sci."},{"key":"10.1016\/j.cca.2026.122885_bb0190","doi-asserted-by":"crossref","first-page":"2612820","DOI":"10.1080\/07853890.2026.2612820","article-title":"Comparison of the predictive performance of systemic immune-inflammation index and neutrophil-to-lymphocyte ratio for three-month poor functional outcome in ischemic stroke: a systematic review and meta-analysis","volume":"58","author":"Ma","year":"2026","journal-title":"Ann. Med."},{"key":"10.1016\/j.cca.2026.122885_bb0195","doi-asserted-by":"crossref","DOI":"10.1016\/j.intimp.2025.115178","article-title":"Dual role of innate immune activation in cerebral small vessel disease","volume":"162","author":"Peng","year":"2025","journal-title":"Int. Immunopharmacol."},{"key":"10.1016\/j.cca.2026.122885_bb0200","doi-asserted-by":"crossref","first-page":"1666589","DOI":"10.3389\/fcvm.2025.1666589","article-title":"Extracellular vesicles in cardiovascular diseases: pathogenic mediators, diagnostic tools, and therapeutic vectors","volume":"12","author":"Li","year":"2025","journal-title":"Front. Cardiovasc. Med."},{"key":"10.1016\/j.cca.2026.122885_bb0205","doi-asserted-by":"crossref","first-page":"791","DOI":"10.17219\/acem\/172239","article-title":"Blood biomarkers in acute ischemic stroke: the prognostic value of neutrophil-to-lymphocyte ratio and mean platelet volume","volume":"33","author":"Poyraz","year":"2024","journal-title":"Adv. Clin. Exp. Med. Off. Organ Wroclaw Med. Univ."},{"key":"10.1016\/j.cca.2026.122885_bb0210","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1093\/ejendo\/lvaf052","article-title":"Identification of hypertension subtypes using microRNA profiles and machine learning","volume":"192","author":"Reel","year":"2025","journal-title":"Eur. J. Endocrinol."},{"key":"10.1016\/j.cca.2026.122885_bb0215","article-title":"Integrative multi-omics analysis for etiology classification and biomarker discovery in stroke: advancing towards precision Medicine","volume":"13","author":"Labarga","year":"2024","journal-title":"Biology (Basel)."},{"key":"10.1016\/j.cca.2026.122885_bb0220","doi-asserted-by":"crossref","DOI":"10.3390\/ijms25084379","article-title":"Transcriptomic analysis of extracellular vesicles in the search for novel plasma and thrombus biomarkers of ischemic stroke etiologies","volume":"25","author":"Machado","year":"2024","journal-title":"Int. J. Mol. Sci."},{"key":"10.1016\/j.cca.2026.122885_bb0225","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1007\/s11306-023-02081-z","article-title":"Plasma lipidomic profiling reveals six candidate biomarkers for the prediction of incident stroke in patients with hypertension","volume":"20","author":"Zeng","year":"2024","journal-title":"Metabolomics"},{"key":"10.1016\/j.cca.2026.122885_bb0230","doi-asserted-by":"crossref","DOI":"10.1161\/JAHA.123.033201","article-title":"Associations of plasma metabolites with risks of incident stroke and its subtypes in Chinese adults","volume":"13","author":"Niu","year":"2024","journal-title":"J. Am. Heart Assoc."},{"key":"10.1016\/j.cca.2026.122885_bb0235","doi-asserted-by":"crossref","first-page":"23574","DOI":"10.1038\/s41598-025-09375-3","article-title":"Discovery of metabolic biomarkers for distinguishing LAA and SVO subtypes of acute ischemic stroke","volume":"15","author":"Yu","year":"2025","journal-title":"Sci. Rep."},{"key":"10.1016\/j.cca.2026.122885_bb0240","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0309921","article-title":"Stable biomarker discovery in multi-omics data via canonical correlation analysis","volume":"19","author":"Pusa","year":"2024","journal-title":"PloS One"},{"key":"10.1016\/j.cca.2026.122885_bb0245","doi-asserted-by":"crossref","DOI":"10.1136\/bmj-2023-078378","article-title":"TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods","volume":"385","author":"Collins","year":"2024","journal-title":"BMJ"},{"key":"10.1016\/j.cca.2026.122885_bb0250","doi-asserted-by":"crossref","first-page":"1285","DOI":"10.1152\/physrev.00012.2007","article-title":"Myocardial matrix remodeling and the matrix metalloproteinases: influence on cardiac form and function","volume":"87","author":"Spinale","year":"2007","journal-title":"Physiol. Rev."},{"key":"10.1016\/j.cca.2026.122885_bb0255","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1038\/nrneph.2016.48","article-title":"TGF-\u03b2: the master regulator of fibrosis","volume":"12","author":"Meng","year":"2016","journal-title":"Nat. Rev. Nephrol."},{"key":"10.1016\/j.cca.2026.122885_bb0260","doi-asserted-by":"crossref","first-page":"829","DOI":"10.1093\/eurheartj\/ehr304","article-title":"Nitric oxide synthases: regulation and function","volume":"33","author":"F\u00f6rstermann","year":"2012","journal-title":"Eur. Heart J."},{"key":"10.1016\/j.cca.2026.122885_bb0265","doi-asserted-by":"crossref","first-page":"678","DOI":"10.1038\/nri2156","article-title":"Getting to the site of inflammation: the leukocyte adhesion cascade updated","volume":"7","author":"Ley","year":"2007","journal-title":"Nat. Rev. Immunol."},{"key":"10.1016\/j.cca.2026.122885_bb0270","doi-asserted-by":"crossref","DOI":"10.3390\/jcm11164737","article-title":"Age is only a number also in Hyperacute stroke care\u2014but not an irrelevant one","volume":"11","author":"Sipil\u00e4","year":"2022","journal-title":"J. Clin. Med."},{"key":"10.1016\/j.cca.2026.122885_bb0275","doi-asserted-by":"crossref","first-page":"3151","DOI":"10.1084\/jem.20171406","article-title":"Alzheimer's disease: a matter of blood\u2013brain barrier dysfunction?","volume":"214","author":"Montagne","year":"2017","journal-title":"J. Exp. Med."},{"key":"10.1016\/j.cca.2026.122885_bb0280","first-page":"923","article-title":"Nitric oxide and oxidative stress in vascular disease, Pfl\u00fcgers arch. - Eur","volume":"459","author":"F\u00f6rstermann","year":"2010","journal-title":"J. Physiol."},{"key":"10.1016\/j.cca.2026.122885_bb0285","doi-asserted-by":"crossref","first-page":"868","DOI":"10.1038\/nature01323","article-title":"Inflammation in atherosclerosis","volume":"420","author":"Libby","year":"2002","journal-title":"Nature"},{"key":"10.1016\/j.cca.2026.122885_bb0290","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1038\/nri3345","article-title":"Thrombosis as an intravascular effector of innate immunity","volume":"13","author":"Engelmann","year":"2013","journal-title":"Nat. Rev. Immunol."},{"key":"10.1016\/j.cca.2026.122885_bb0295","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1038\/nature09922","article-title":"Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease","volume":"472","author":"Wang","year":"2011","journal-title":"Nature"},{"key":"10.1016\/j.cca.2026.122885_bb0300","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1016\/j.devcel.2008.07.008","article-title":"miR-126 regulates angiogenic signaling and vascular integrity","volume":"15","author":"Fish","year":"2008","journal-title":"Dev. Cell"},{"key":"10.1016\/j.cca.2026.122885_bb0305","doi-asserted-by":"crossref","first-page":"758","DOI":"10.1093\/bioinformatics\/btz665","article-title":"Learning from the ligand: using ligand-based features to improve binding affinity prediction","volume":"36","author":"Boyles","year":"2020","journal-title":"Bioinformatics"},{"key":"10.1016\/j.cca.2026.122885_bb0310","doi-asserted-by":"crossref","DOI":"10.3390\/jcdd11050154","article-title":"Genetics of hypertension: from monogenic analysis to GETomics","volume":"11","author":"Zappa","year":"2024","journal-title":"J. Cardiovasc. Dev. Dis."},{"key":"10.1016\/j.cca.2026.122885_bb0315","doi-asserted-by":"crossref","first-page":"697","DOI":"10.1038\/s41431-023-01517-3","article-title":"Validity of European-centric cardiometabolic polygenic scores in multi-ancestry populations","volume":"32","author":"Topriceanu","year":"2024","journal-title":"Eur. J. Hum. Genet."},{"key":"10.1016\/j.cca.2026.122885_bb0320","article-title":"Genetic complexities of cerebral small vessel disease, blood pressure, and dementia., JAMA Netw","volume":"7","author":"Sargurupremraj","year":"2024","journal-title":"Open"},{"key":"10.1016\/j.cca.2026.122885_bb0325","doi-asserted-by":"crossref","first-page":"e76","DOI":"10.1161\/CIRCRESAHA.124.324455","article-title":"Genome-wide methylation analysis reveals a KCNK3-prominent causal Cascade on hypertension","volume":"135","author":"Huang","year":"2024","journal-title":"Circ. Res."},{"key":"10.1016\/j.cca.2026.122885_bb0330","doi-asserted-by":"crossref","first-page":"1043","DOI":"10.1080\/17501911.2024.2377947","article-title":"Epigenetics of cerebrovascular diseases: an update review of clinical studies","volume":"16","author":"Ciaccio","year":"2024","journal-title":"Epigenomics"},{"key":"10.1016\/j.cca.2026.122885_bb0335","doi-asserted-by":"crossref","first-page":"3255","DOI":"10.1007\/s11010-024-04947-9","article-title":"The pharmaco-epigenetics of hypertension: a focus on microRNA","volume":"479","author":"Yaacoub","year":"2024","journal-title":"Mol. Cell. Biochem."},{"key":"10.1016\/j.cca.2026.122885_bb0340","article-title":"Cell-free nucleic acids for early diagnosis of acute ischemic stroke: a systematic review and Meta-analysis","volume":"26","author":"Zhang","year":"2025","journal-title":"Int. J. Mol. Sci."},{"key":"10.1016\/j.cca.2026.122885_bb0345","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0303598","article-title":"Preanalytical considerations for clinical assays of circulating human miRNA-451a, miRNA-423-5p and miRNA-199a-3p for diagnostic purposes","volume":"19","author":"Chandel","year":"2024","journal-title":"PloS One"},{"key":"10.1016\/j.cca.2026.122885_bb0350","doi-asserted-by":"crossref","first-page":"891","DOI":"10.1161\/01.STR.0000157949.34986.30","article-title":"Are lacunar strokes really different? A systematic review of differences in risk factor profiles between lacunar and nonlacunar infarcts","volume":"36","author":"Jackson","year":"2005","journal-title":"Stroke"},{"key":"10.1016\/j.cca.2026.122885_bb0355","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1159\/000210433","article-title":"New approach to stroke subtyping: the A-S-C-O (phenotypic) classification of stroke","volume":"27","author":"Amarenco","year":"2009","journal-title":"Cerebrovasc. Dis."},{"key":"10.1016\/j.cca.2026.122885_bb0360","doi-asserted-by":"crossref","first-page":"822","DOI":"10.1016\/S1474-4422(13)70124-8","article-title":"Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration","volume":"12","author":"Wardlaw","year":"2013","journal-title":"Lancet Neurol."},{"key":"10.1016\/j.cca.2026.122885_bb0365","doi-asserted-by":"crossref","first-page":"2045","DOI":"10.1161\/ATVBAHA.108.179705","article-title":"Inflammation in atherosclerosis","volume":"32","author":"Libby","year":"2012","journal-title":"Arterioscler. Thromb. Vasc. Biol."},{"key":"10.1016\/j.cca.2026.122885_bb0370","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1016\/S0140-6736(14)61774-8","article-title":"50 year trends in atrial fibrillation prevalence, incidence, risk factors, and mortality in the Framingham heart study: a cohort study","volume":"386","author":"Schnabel","year":"2015","journal-title":"Lancet (London, England)"},{"key":"10.1016\/j.cca.2026.122885_bb0375","doi-asserted-by":"crossref","first-page":"720","DOI":"10.1016\/S1474-4422(12)70104-7","article-title":"Intracerebral haemorrhage: mechanisms of injury and therapeutic targets","volume":"11","author":"Keep","year":"2012","journal-title":"Lancet Neurol."},{"key":"10.1016\/j.cca.2026.122885_bb0380","doi-asserted-by":"crossref","first-page":"1723","DOI":"10.1016\/S0140-6736(16)00163-X","article-title":"Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trials","volume":"387","author":"Goyal","year":"2016","journal-title":"Lancet (London, England)"},{"key":"10.1016\/j.cca.2026.122885_bb0385","doi-asserted-by":"crossref","DOI":"10.3390\/biomedicines13020514","article-title":"Differential pattern of circulating MicroRNA expression in patients with intracranial atherosclerosis","volume":"13","author":"Tanashyan","year":"2025","journal-title":"Biomedicines"},{"key":"10.1016\/j.cca.2026.122885_bb0390","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1016\/j.neuroscience.2025.01.060","article-title":"Clinical value and role of long non-coding RNA PSMB8-AS1 in the progress of ischemic stroke in patients with hypertension","volume":"569","author":"Zhang","year":"2025","journal-title":"Neuroscience"},{"key":"10.1016\/j.cca.2026.122885_bb0395","doi-asserted-by":"crossref","first-page":"456","DOI":"10.1161\/STROKEAHA.124.048654","article-title":"Large-scale plasma proteomics profiles for predicting ischemic stroke risk in the general population","volume":"56","author":"Gan","year":"2025","journal-title":"Stroke"},{"key":"10.1016\/j.cca.2026.122885_bb0400","article-title":"Potential protein signatures for recurrence prediction of ischemic stroke","volume":"13","author":"Zhang","year":"2024","journal-title":"J. Am. Heart Assoc."},{"key":"10.1016\/j.cca.2026.122885_bb0405","article-title":"Lipidomic profiling identifies key pathways and a 5-lipid panel with high diagnostic efficacy for ischemic stroke","volume":"16","author":"Lu","year":"2026","journal-title":"Sci. Rep."},{"key":"10.1016\/j.cca.2026.122885_bb0410","article-title":"Tryptophan metabolites as biomarkers to predict the severity and prognosis of acute ischemic stroke patients","volume":"34","author":"Pan","year":"2025","journal-title":"J. Stroke Cerebrovasc. Dis. Off. J. Natl. Stroke Assoc."},{"key":"10.1016\/j.cca.2026.122885_bb0415","doi-asserted-by":"crossref","DOI":"10.3390\/ijms25137436","article-title":"Identification of urine metabolic markers of stroke risk using untargeted nuclear magnetic resonance analysis","volume":"25","author":"Oliveira","year":"2024","journal-title":"Int. J. Mol. Sci."},{"key":"10.1016\/j.cca.2026.122885_bb0420","doi-asserted-by":"crossref","DOI":"10.3389\/fneur.2025.1630390","article-title":"Metabolomics reveals key biomarkers for ischemic stroke: a systematic review of emerging evidence","volume":"16","author":"Ding","year":"2025","journal-title":"Front. Neurol."},{"key":"10.1016\/j.cca.2026.122885_bb0425","doi-asserted-by":"crossref","first-page":"466","DOI":"10.1038\/ng.116","article-title":"Transient-mediated fate determination in a transcriptional circuit of HIV","volume":"40","author":"Weinberger","year":"2008","journal-title":"Nat. Genet."},{"key":"10.1016\/j.cca.2026.122885_bb0430","doi-asserted-by":"crossref","first-page":"1219","DOI":"10.1038\/s41588-018-0183-z","article-title":"Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations","volume":"50","author":"Khera","year":"2018","journal-title":"Nat. Genet."},{"key":"10.1016\/j.cca.2026.122885_bb0435","doi-asserted-by":"crossref","first-page":"1323","DOI":"10.1056\/NEJMra1402513","article-title":"The key role of epigenetics in human disease prevention and mitigation","volume":"378","author":"Feinberg","year":"2018","journal-title":"N. Engl. J. Med."},{"key":"10.1016\/j.cca.2026.122885_bb0440","doi-asserted-by":"crossref","first-page":"35235","DOI":"10.1038\/srep35235","article-title":"Evaluation of cochlear implant candidates using a non-linguistic Spectrotemporal modulation detection test","volume":"6","author":"Choi","year":"2016","journal-title":"Sci. Rep."},{"key":"10.1016\/j.cca.2026.122885_bb0445","article-title":"Integrative proteomic profiling of blood pressure and hypertension","volume":"83","author":"Aggarwal","year":"2026","journal-title":"Hypertens. (Dallas, Tex. 1979)"},{"key":"10.1016\/j.cca.2026.122885_bb0450","doi-asserted-by":"crossref","first-page":"448","DOI":"10.1038\/nm.2307","article-title":"Metabolite profiles and the risk of developing diabetes","volume":"17","author":"Wang","year":"2011","journal-title":"Nat. Med."},{"key":"10.1016\/j.cca.2026.122885_bb0455","doi-asserted-by":"crossref","first-page":"932","DOI":"10.1056\/NEJMoa1214234","article-title":"Cystatin C versus creatinine in determining risk based on kidney function","volume":"369","author":"Shlipak","year":"2013","journal-title":"N. Engl. J. Med."},{"key":"10.1016\/j.cca.2026.122885_bb0460","doi-asserted-by":"crossref","first-page":"676","DOI":"10.1124\/pr.112.005983","article-title":"Classification, functions, and clinical relevance of extracellular vesicles","volume":"64","author":"van der Pol","year":"2012","journal-title":"Pharmacol. Rev."},{"key":"10.1016\/j.cca.2026.122885_bb0465","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1186\/s13059-017-1215-1","article-title":"Multi-omics approaches to disease","volume":"18","author":"Hasin","year":"2017","journal-title":"Genome Biol."},{"key":"10.1016\/j.cca.2026.122885_bb0470","doi-asserted-by":"crossref","first-page":"1411307","DOI":"10.3389\/fneur.2024.1411307","article-title":"Blood-based protein biomarkers during the acute ischemic stroke treatment window: a systematic review","volume":"15","author":"Rahmig","year":"2024","journal-title":"Front. Neurol."},{"issue":"5","key":"10.1016\/j.cca.2026.122885_bb0475","doi-asserted-by":"crossref","first-page":"1613","DOI":"10.34067\/KID.0000000000000555","article-title":"Chymase activity in plasma and urine extracellular vesicles in primary hypertension","volume":"360","author":"Ahmad","year":"2024","journal-title":"Kidney"},{"key":"10.1016\/j.cca.2026.122885_bb0480","doi-asserted-by":"crossref","first-page":"6313","DOI":"10.1007\/s00415-024-12536-5","article-title":"Cardiac biomarkers are associated with increased risks of adverse clinical outcomes after ischemic stroke","volume":"271","author":"Chang","year":"2024","journal-title":"J. Neurol."},{"key":"10.1016\/j.cca.2026.122885_bb0485","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1186\/s13005-024-00476-4","article-title":"Circulating level of growth-differentiation factor 15 and the functional outcome after acute ischemic stroke: a systematic review and meta-analysis","volume":"20","author":"Wu","year":"2024","journal-title":"Head Face Med."},{"key":"10.1016\/j.cca.2026.122885_bb0490","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1186\/s41065-025-00557-7","article-title":"Evaluation of cystatin C and microalbuminuria as predictive markers for hypertension-related renal complications","volume":"162","author":"Li","year":"2025","journal-title":"Hereditas"},{"key":"10.1016\/j.cca.2026.122885_bb0495","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1159\/000547867","article-title":"Plasma and urinary KIM-1 in chronic kidney disease: prognostic value, associations with albuminuria, and implications for kidney failure and mortality","author":"McDonnell","year":"2025","journal-title":"Am. J. Nephrol."},{"key":"10.1016\/j.cca.2026.122885_bb0500","doi-asserted-by":"crossref","first-page":"20501","DOI":"10.11613\/BM.2024.020501","article-title":"Preanalytical, analytical and postanalytical considerations in circulating microRNAs measurement","volume":"34","author":"Zendjabil","year":"2024","journal-title":"Biochem. Med."},{"key":"10.1016\/j.cca.2026.122885_bb0505","doi-asserted-by":"crossref","DOI":"10.1016\/j.cca.2025.120516","article-title":"The invisible bridge: how harmonization closes the gap between impossible standardization and clinical necessity","volume":"578","author":"Xu","year":"2026","journal-title":"Clin. Chim. Acta"},{"key":"10.1016\/j.cca.2026.122885_bb0510","doi-asserted-by":"crossref","first-page":"1037","DOI":"10.1093\/clinchem\/hvae075","article-title":"Highly sensitive immunoassay for long forms of cardiac troponin T using upconversion luminescence","volume":"70","author":"Salonen","year":"2024","journal-title":"Clin. Chem."},{"key":"10.1016\/j.cca.2026.122885_bb0515","doi-asserted-by":"crossref","DOI":"10.1080\/20013078.2018.1535750","article-title":"Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines","volume":"7","author":"Th\u00e9ry","year":"2018","journal-title":"J. Extracell. Vesicles"},{"key":"10.1016\/j.cca.2026.122885_bb0520","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1056\/NEJMoa1114248","article-title":"Estimating glomerular filtration rate from serum creatinine and cystatin C","volume":"367","author":"Inker","year":"2012","journal-title":"N. Engl. J. Med."},{"key":"10.1016\/j.cca.2026.122885_bb0525","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1373\/clinchem.2016.255109","article-title":"Cardiac troponin assays: guide to understanding analytical characteristics and their impact on clinical care","volume":"63","author":"Apple","year":"2017","journal-title":"Clin. Chem."},{"key":"10.1016\/j.cca.2026.122885_bb0530","doi-asserted-by":"crossref","first-page":"737","DOI":"10.1007\/s00198-023-07006-z","article-title":"Falsely elevated parathyroid hormone in a patient with osteoporosis: a case report and review","volume":"35","author":"McCarroll","year":"2024","journal-title":"Osteoporos. Int. a J. Establ. as Result Coop. between Eur. Found. Osteoporos. Natl. Osteoporos. Found. USA"},{"key":"10.1016\/j.cca.2026.122885_bb0535","doi-asserted-by":"crossref","first-page":"2340","DOI":"10.1002\/alz.13697","article-title":"Biomarkers of Alzheimer's disease and neurodegeneration in dried blood spots-a new collection method for remote settings","volume":"20","author":"Huber","year":"2024","journal-title":"Alzheimers Dement."},{"key":"10.1016\/j.cca.2026.122885_bb0540","doi-asserted-by":"crossref","first-page":"1470718","DOI":"10.3389\/fneur.2024.1470718","article-title":"Serum glial fibrillary acidic protein in acute stroke: feasibility to determine stroke-type, timeline and tissue-impact","volume":"15","author":"Paul","year":"2024","journal-title":"Front. Neurol."},{"key":"10.1016\/j.cca.2026.122885_bb0545","first-page":"2412","article-title":"High-resolution accurate mass- mass spectrometry based- untargeted metabolomics: reproducibility and detection power across data-dependent acquisition, data-independent acquisition, and AcquireX., Comput. Struct","volume":"27","author":"El Boudlali","year":"2025","journal-title":"Biotechnol. J."},{"key":"10.1016\/j.cca.2026.122885_bb0550","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1186\/s12953-025-00241-8","article-title":"Mass-spectrometry based metabolomics: an overview of workflows, strategies, data analysis and applications","volume":"23","author":"Hajnajafi","year":"2025","journal-title":"Proteome Sci."},{"key":"10.1016\/j.cca.2026.122885_bb0555","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1186\/s40364-025-00882-z","article-title":"Comparative analysis of microRNA expression in serum and plasma in patients screened for BRCA1 or BRCA2 mutations","volume":"14","author":"Smyczynska","year":"2026","journal-title":"Biomark. Res"},{"key":"10.1016\/j.cca.2026.122885_bb0560","doi-asserted-by":"crossref","DOI":"10.3390\/molecules31050814","article-title":"Investigating variability in metabolomics: a comparative study of analytical platforms and blood matrices using HPLC-HRMS","volume":"31","author":"Guerra","year":"2026","journal-title":"Molecules"},{"key":"10.1016\/j.cca.2026.122885_bb0565","doi-asserted-by":"crossref","DOI":"10.1002\/jev2.12404","article-title":"Minimal information for studies of extracellular vesicles (MISEV2023): from basic to advanced approaches","volume":"13","author":"Welsh","year":"2024","journal-title":"J. Extracell. Vesicles"},{"key":"10.1016\/j.cca.2026.122885_bb0570","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/bs.acc.2019.01.006","article-title":"A practical guide to validation and verification of analytical methods in the clinical laboratory","volume":"90","author":"Pum","year":"2019","journal-title":"Adv. Clin. Chem."},{"key":"10.1016\/j.cca.2026.122885_bb0575","doi-asserted-by":"crossref","DOI":"10.1093\/labmed\/lmag032","article-title":"Measurement uncertainty in laboratory medicine: a comprehensive review of frameworks, analytical performance specifications, and emerging technologies","volume":"57","author":"Pawade","year":"2026","journal-title":"Lab. Med."},{"key":"10.1016\/j.cca.2026.122885_bb0580","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1515\/cclm-2018-0073","article-title":"Indirect methods for reference interval determination - review and recommendations","volume":"57","author":"Jones","year":"2018","journal-title":"Clin. Chem. Lab. Med."},{"key":"10.1016\/j.cca.2026.122885_bb0585","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1128\/CMR.00074-09","article-title":"Validation of laboratory-developed molecular assays for infectious diseases","volume":"23","author":"Burd","year":"2010","journal-title":"Clin. Microbiol. Rev."},{"key":"10.1016\/j.cca.2026.122885_bb0590","doi-asserted-by":"crossref","DOI":"10.3390\/ijms20194684","article-title":"Challenges in exosome isolation and analysis in health and disease","volume":"20","author":"Ludwig","year":"2019","journal-title":"Int. J. Mol. Sci."},{"key":"10.1016\/j.cca.2026.122885_bb0595","doi-asserted-by":"crossref","first-page":"833","DOI":"10.1373\/clinchem.2010.157198","article-title":"Analysis of circulating microRNA: preanalytical and analytical challenges","volume":"57","author":"McDonald","year":"2011","journal-title":"Clin. Chem."},{"key":"10.1016\/j.cca.2026.122885_bb0600","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1186\/s40580-025-00509-x","article-title":"Efficient methods of isolation and purification of extracellular vesicles","volume":"12","author":"Kim","year":"2025","journal-title":"Nano Converg."},{"key":"10.1016\/j.cca.2026.122885_bb0605","doi-asserted-by":"crossref","first-page":"893","DOI":"10.1515\/cclm-2020-1296","article-title":"Effect of collection matrix, platelet depletion, and storage conditions on plasma extracellular vesicles and extracellular vesicle-associated miRNAs measurements","volume":"59","author":"Faraldi","year":"2021","journal-title":"Clin. Chem. Lab. Med."},{"key":"10.1016\/j.cca.2026.122885_bb0610","first-page":"105","article-title":"Interferences in immunoassay","volume":"25","author":"Tate","year":"2004","journal-title":"Clin. Biochem. Rev."},{"key":"10.1016\/j.cca.2026.122885_bb0615","doi-asserted-by":"crossref","first-page":"595","DOI":"10.1038\/nbt.1641","article-title":"Single-molecule enzyme-linked immunosorbent assay detects serum proteins at subfemtomolar concentrations","volume":"28","author":"Rissin","year":"2010","journal-title":"Nat. Biotechnol."},{"key":"10.1016\/j.cca.2026.122885_bb0620","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1038\/nprot.2012.135","article-title":"Global metabolic profiling of animal and human tissues via UPLC-MS","volume":"8","author":"Want","year":"2013","journal-title":"Nat. Protoc."},{"key":"10.1016\/j.cca.2026.122885_bb0625","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1038\/nrm3314","article-title":"Metabolomics: the apogee of the omics trilogy","volume":"13","author":"Patti","year":"2012","journal-title":"Nat. Rev. Mol. Cell Biol."},{"key":"10.1016\/j.cca.2026.122885_bb0630","doi-asserted-by":"crossref","first-page":"611","DOI":"10.1373\/clinchem.2008.112797","article-title":"The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments","volume":"55","author":"Bustin","year":"2009","journal-title":"Clin. Chem."},{"key":"10.1016\/j.cca.2026.122885_bb0635","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1093\/clinchem\/48.4.613","article-title":"Immunometric assay interference: incidence and prevention","volume":"48","author":"Bjerner","year":"2002","journal-title":"Clin. Chem."},{"key":"10.1016\/j.cca.2026.122885_bb0640","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1016\/j.clinbiochem.2008.09.009","article-title":"Medical laboratory quality and accreditation in Jordan","volume":"42","author":"Qutishat","year":"2009","journal-title":"Clin. Biochem."},{"key":"10.1016\/j.cca.2026.122885_bb0645","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0095192","article-title":"Homogenous 96-Plex PEA immunoassay exhibiting high sensitivity, specificity, and excellent scalability","volume":"9","author":"Assarsson","year":"2014","journal-title":"PloS One"},{"key":"10.1016\/j.cca.2026.122885_bb0650","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1038\/nature05058","article-title":"The origins and the future of microfluidics","volume":"442","author":"Whitesides","year":"2006","journal-title":"Nature"},{"key":"10.1016\/j.cca.2026.122885_bb0655","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1111\/biom.12010","article-title":"Quantile regression for recurrent gap time data","volume":"69","author":"Luo","year":"2013","journal-title":"Biometrics"},{"key":"10.1016\/j.cca.2026.122885_bb0660","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1001744","article-title":"Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist","volume":"11","author":"Moons","year":"2014","journal-title":"PLoS Med."},{"key":"10.1016\/j.cca.2026.122885_bb0665","doi-asserted-by":"crossref","first-page":"46ps42","DOI":"10.1126\/scitranslmed.3001249","article-title":"Recommendations for biomarker identification and qualification in clinical proteomics","volume":"2","author":"Mischak","year":"2010","journal-title":"Sci. Transl. Med."},{"key":"10.1016\/j.cca.2026.122885_bb0670","doi-asserted-by":"crossref","DOI":"10.3402\/jev.v2i0.20360","article-title":"Standardization of sample collection, isolation and analysis methods in extracellular vesicle research","volume":"2","author":"Witwer","year":"2013","journal-title":"J. Extracell. Vesicles"},{"key":"10.1016\/j.cca.2026.122885_bb0675","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.foodchem.2015.02.034","article-title":"Structure and rheological characteristics of fucoidan from sea cucumber Apostichopus japonicus","volume":"180","author":"Yu","year":"2015","journal-title":"Food Chem."},{"key":"10.1016\/j.cca.2026.122885_bb0680","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/S0009-8981(03)00072-X","article-title":"Biological variation: from principles to practice","volume":"331","author":"Wu","year":"2003","journal-title":"Clin. Chim. Acta - CLIN CHIM ACTA"},{"key":"10.1016\/j.cca.2026.122885_bb0685","doi-asserted-by":"crossref","first-page":"1230","DOI":"10.1126\/science.1211811","article-title":"Improving validation practices in \u201comics\u201d research","volume":"334","author":"Ioannidis","year":"2011","journal-title":"Science"},{"key":"10.1016\/j.cca.2026.122885_bb0690","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1373\/clinchem.2011.165795","article-title":"Analytical characteristics of high-sensitivity cardiac troponin assays","volume":"58","author":"Apple","year":"2012","journal-title":"Clin. Chem."},{"key":"10.1016\/j.cca.2026.122885_bb0695","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1016\/j.jacc.2015.11.037","article-title":"A test in context: high-sensitivity C-reactive protein","volume":"67","author":"Ridker","year":"2016","journal-title":"J. Am. Coll. Cardiol."},{"key":"10.1016\/j.cca.2026.122885_bb0700","doi-asserted-by":"crossref","first-page":"1285","DOI":"10.1161\/CIRCULATIONAHA.106.652859","article-title":"Endothelial function and dysfunction: testing and clinical relevance","volume":"115","author":"Deanfield","year":"2007","journal-title":"Circulation"},{"key":"10.1016\/j.cca.2026.122885_bb0705","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1111\/jcmm.12236","article-title":"Methodological challenges in utilizing miRNAs as circulating biomarkers","volume":"18","author":"Moldovan","year":"2014","journal-title":"J. Cell. Mol. Med."},{"key":"10.1016\/j.cca.2026.122885_bb0710","doi-asserted-by":"crossref","first-page":"1648167","DOI":"10.1080\/20013078.2019.1648167","article-title":"Extracellular vesicles or exosomes? On primacy, precision, and popularity influencing a choice of nomenclature","volume":"8","author":"Witwer","year":"2019","journal-title":"J. Extracell. Vesicles"},{"key":"10.1016\/j.cca.2026.122885_bb0715","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.prostaglandins.2016.12.002","article-title":"Recent advances in lipidomics: analytical and clinical perspectives","volume":"128\u2013129","author":"Sethi","year":"2017","journal-title":"Prostaglandins Other Lipid Mediat."},{"key":"10.1016\/j.cca.2026.122885_bb0720","doi-asserted-by":"crossref","DOI":"10.1002\/pst.2370","article-title":"Introduction to qualification and validation of an immunoassay","volume":"24","author":"Janssen","year":"2025","journal-title":"Pharm. Stat."},{"key":"10.1016\/j.cca.2026.122885_bb0725","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1007\/s11306-023-02080-0","article-title":"Establishing a framework for best practices for quality assurance and quality control in untargeted metabolomics","volume":"20","author":"Mosley","year":"2024","journal-title":"Metabolomics"},{"key":"10.1016\/j.cca.2026.122885_bb0730","doi-asserted-by":"crossref","first-page":"1991","DOI":"10.1515\/cclm-2023-1291","article-title":"Targeted ultra performance liquid chromatography tandem mass spectrometry procedures for the diagnosis of inborn errors of metabolism: validation through ERNDIM external quality assessment schemes","volume":"62","author":"Oliva","year":"2024","journal-title":"Clin. Chem. Lab. Med."},{"key":"10.1016\/j.cca.2026.122885_bb0735","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1021\/acs.jproteome.3c00473","article-title":"Multicenter collaborative study to optimize mass spectrometry workflows of clinical specimens","volume":"23","author":"Kardell","year":"2024","journal-title":"J. Proteome Res."},{"key":"10.1016\/j.cca.2026.122885_bb0740","doi-asserted-by":"crossref","first-page":"6623","DOI":"10.1021\/acsnano.3c12862","article-title":"High-throughput microfluidic extraction of platelet-free plasma for MicroRNA and extracellular vesicle analysis","volume":"18","author":"Leong","year":"2024","journal-title":"ACS Nano"},{"key":"10.1016\/j.cca.2026.122885_bb0745","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1021\/acs.jproteome.4c00644","article-title":"Multicenter longitudinal quality assessment of MS-based proteomics in plasma and serum","volume":"24","author":"Kardell","year":"2025","journal-title":"J. Proteome Res."},{"key":"10.1016\/j.cca.2026.122885_bb0750","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1515\/cclm-2025-0020","article-title":"Are the benefits of external quality assessment (EQA) recognized beyond the echo chamber?","volume":"63","author":"MacKenzie","year":"2025","journal-title":"Clin. Chem. Lab. Med."},{"key":"10.1016\/j.cca.2026.122885_bb0755","first-page":"1852","article-title":"Recommendations for validating omics prediction models: insights from a lung cancer RNA biomarker study","volume":"34","author":"Pestarino","year":"2025","journal-title":"Cancer Epidemiol. Biomarkers Prev. A Publ. Am. Assoc. Cancer res. Cosponsored by Am. Soc. Prev. Oncol"},{"key":"10.1016\/j.cca.2026.122885_bb0760","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1186\/s12014-026-09590-8","article-title":"Impact of preanalytical factors on plasma extracellular vesicles and human plasma proteome","volume":"23","author":"Suresh","year":"2026","journal-title":"Clin. Proteomics"},{"key":"10.1016\/j.cca.2026.122885_bb0765","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1007\/s00216-024-05646-6","article-title":"Effect of different pooled qc samples on data quality during an inter-batch experiment in untargeted UHPLC-HRMS analysis on two different MS platforms","volume":"417","author":"Ramos","year":"2025","journal-title":"Anal. Bioanal. Chem."},{"key":"10.1016\/j.cca.2026.122885_bb0770","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1186\/s13287-024-04005-7","article-title":"Different storage and freezing protocols for extracellular vesicles: a systematic review","volume":"15","author":"Ahmadian","year":"2024","journal-title":"Stem Cell Res. Ther"},{"key":"10.1016\/j.cca.2026.122885_bb0775","doi-asserted-by":"crossref","DOI":"10.1016\/j.jpba.2024.116587","article-title":"Deeper insights into the stability of oxylipins in human plasma across multiple freeze-thaw cycles and storage conditions","volume":"255","author":"Moran-Garrido","year":"2025","journal-title":"J. Pharm. Biomed. Anal."},{"key":"10.1016\/j.cca.2026.122885_bb0780","doi-asserted-by":"crossref","DOI":"10.1093\/bib\/bbaf168","article-title":"Assessing the impact of batch effect associated missing values on downstream analysis in high-throughput biomedical data","volume":"26","author":"Hui","year":"2025","journal-title":"Brief. Bioinform."},{"key":"10.1016\/j.cca.2026.122885_bb0785","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1007\/s11306-025-02360-x","article-title":"Analytical practices, use and needs of standard and reference materials in the German-speaking metabolomics community: results of an online survey","volume":"21","author":"Jaeger","year":"2025","journal-title":"Metabolomics"},{"key":"10.1016\/j.cca.2026.122885_bb0790","article-title":"A unified framework for correcting batch effects and integrating multi-omics data","author":"Choi","year":"2026","journal-title":"Sci. Rep."},{"key":"10.1016\/j.cca.2026.122885_bb0795","doi-asserted-by":"crossref","first-page":"1383","DOI":"10.1093\/clinchem\/hvae129","article-title":"Clinical decision-making suffers from inequivalent measurement results and inadequate reference intervals","volume":"70","author":"van Schrojenstein Lantman","year":"2024","journal-title":"Clin. Chem."},{"key":"10.1016\/j.cca.2026.122885_bb0800","doi-asserted-by":"crossref","first-page":"1681","DOI":"10.1093\/eurjpc\/zwae124","article-title":"Large-scale plasma proteomics in the UK Biobank modestly improves prediction of major cardiovascular events in a population without previous cardiovascular disease","volume":"31","author":"Royer","year":"2024","journal-title":"Eur. J. Prev. Cardiol."},{"key":"10.1016\/j.cca.2026.122885_bb0805","doi-asserted-by":"crossref","DOI":"10.1161\/JAHA.124.038860","article-title":"Neuroglial biomarkers for risk assessment of ischemic stroke and other cardiovascular events in patients with atrial fibrillation not receiving Oral anticoagulation","volume":"14","author":"Aulin","year":"2025","journal-title":"J. Am. Heart Assoc."},{"key":"10.1016\/j.cca.2026.122885_bb0810","doi-asserted-by":"crossref","unstructured":"N.L. Patel-Murray, L. Zhang, B.L. Claggett, et al., Aptamer proteomics for biomarker discovery in heart failure with preserved ejection fraction: the PARAGON-HF proteomic substudy, J. Am. Heart Assoc. 13 (2024) e033544. DOI:10.1161\/JAHA.123.033544.","DOI":"10.1161\/JAHA.123.033544"},{"key":"10.1016\/j.cca.2026.122885_bb0815","doi-asserted-by":"crossref","DOI":"10.3390\/cancers16040787","article-title":"Use of droplet digital polymerase chain reaction to identify biomarkers for differentiation of benign and malignant renal masses","volume":"16","author":"Hayden","year":"2024","journal-title":"Cancers (Basel)"},{"key":"10.1016\/j.cca.2026.122885_bb0820","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1002\/elps.202400151","article-title":"A micro-flow liquid chromatography-mass spectrometry method for the quantification of oxylipins in volume-limited human plasma","volume":"46","author":"He","year":"2025","journal-title":"Electrophoresis"},{"key":"10.1016\/j.cca.2026.122885_bb0825","doi-asserted-by":"crossref","first-page":"13789","DOI":"10.1021\/acs.analchem.5c00058","article-title":"Ultrafast measurement of circulating ceramides in human cohorts","volume":"97","author":"Tham","year":"2025","journal-title":"Anal. Chem."},{"key":"10.1016\/j.cca.2026.122885_bb0830","doi-asserted-by":"crossref","DOI":"10.1016\/j.aca.2024.342337","article-title":"Rapid automated extracellular vesicle isolation and miRNA preparation on a cost-effective digital microfluidic platform","volume":"1296","author":"Tong","year":"2024","journal-title":"Anal. Chim. Acta"},{"key":"10.1016\/j.cca.2026.122885_bb0835","article-title":"Advanced multipurpose spectroscopic nanobio-device for concurrent lab-on-a-chip label-free separation and detection of extracellular vesicles as key-biomarkers for point-of-care cardiovascular disease diagnostics","volume":"14","author":"Buchan","year":"2025","journal-title":"Adv. Healthc. Mater."},{"key":"10.1016\/j.cca.2026.122885_bb0840","doi-asserted-by":"crossref","DOI":"10.2196\/85654","article-title":"Machine learning for predicting stroke risk stratification using multiomics data: systematic review","volume":"28","author":"Yoo","year":"2026","journal-title":"J. Med. Internet Res."},{"key":"10.1016\/j.cca.2026.122885_bb0845","article-title":"Designing machine learning for big data: a study to identify factors that increase the risk of ischemic stroke and prognosis in hypertensive patients","volume":"10","author":"Gong","year":"2024","journal-title":"Digit. Heal."},{"key":"10.1016\/j.cca.2026.122885_bb0850","doi-asserted-by":"crossref","DOI":"10.1007\/s12031-026-02540-x","article-title":"Development and validation of a SHAP-interpretable machine learning model for stroke risk prediction using circulating MicroRNA biomarkers","volume":"76","author":"Yao","year":"2026","journal-title":"J. Mol. Neurosci."},{"key":"10.1016\/j.cca.2026.122885_bb0855","doi-asserted-by":"crossref","first-page":"388","DOI":"10.1186\/s12967-025-06425-2","article-title":"Machine learning and multi-omics integration: advancing cardiovascular translational research and clinical practice","volume":"23","author":"Lin","year":"2025","journal-title":"J. Transl. Med."},{"key":"10.1016\/j.cca.2026.122885_bb0860","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2024.108375","article-title":"Using machine learning to identify proteomic and metabolomic signatures of stroke in atrial fibrillation","volume":"173","author":"Zhang","year":"2024","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.cca.2026.122885_bb0865","doi-asserted-by":"crossref","DOI":"10.1136\/bmj-2024-082505","article-title":"PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods","volume":"388","author":"Moons","year":"2025","journal-title":"BMJ"},{"key":"10.1016\/j.cca.2026.122885_bb0870","doi-asserted-by":"crossref","first-page":"e953","DOI":"10.1161\/CIR.0000000000001401","article-title":"Criteria to assess the predictive and clinical utility of novel models, biomarkers, and tools for risk of cardiovascular disease: a scientific statement from the American Heart Association","volume":"153","author":"Khan","year":"2026","journal-title":"Circulation"},{"key":"10.1016\/j.cca.2026.122885_bb0875","article-title":"Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance","volume":"7","author":"Van Calster","year":"2025","journal-title":"Lancet. Digit. Heal."},{"key":"10.1016\/j.cca.2026.122885_bb0880","doi-asserted-by":"crossref","DOI":"10.1136\/bmj-2024-081554","article-title":"FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare","volume":"388","author":"Lekadir","year":"2025","journal-title":"BMJ"},{"key":"10.1016\/j.cca.2026.122885_bb0885","doi-asserted-by":"crossref","first-page":"1925","DOI":"10.1093\/eurheartj\/ehu207","article-title":"Towards better clinical prediction models: seven steps for development and an ABCD for validation","volume":"35","author":"Steyerberg","year":"2014","journal-title":"Eur. Heart J."},{"key":"10.1016\/j.cca.2026.122885_bb0890","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1016\/S0895-4356(01)00341-9","article-title":"Internal validation of predictive models: efficiency of some procedures for logistic regression analysis","volume":"54","author":"Steyerberg","year":"2001","journal-title":"J. Clin. Epidemiol."},{"key":"10.1016\/j.cca.2026.122885_bb0895","doi-asserted-by":"crossref","DOI":"10.1016\/j.atherosclerosis.2025.120414","article-title":"Multiomics in atherosclerotic cardiovascular disease","volume":"408","author":"Nordestgaard","year":"2025","journal-title":"Atherosclerosis"},{"key":"10.1016\/j.cca.2026.122885_bb0900","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiolchem.2024.108254","article-title":"Multi-omics data integration and analysis pipeline for precision medicine: systematic review","volume":"113","author":"Abdelaziz","year":"2024","journal-title":"Comput. Biol. Chem."},{"key":"10.1016\/j.cca.2026.122885_bb0905","series-title":"A Technical Review of Multi-Omics Data Integration Methods: From Classical Statistical to Deep Generative Approaches","author":"Bai\u00e3o","year":"2025"},{"key":"10.1016\/j.cca.2026.122885_bb0910","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1186\/s13040-024-00391-z","article-title":"Deep learning-based approaches for multi-omics data integration and analysis","volume":"17","author":"Ballard","year":"2024","journal-title":"BioData Min."},{"key":"10.1016\/j.cca.2026.122885_bb0915","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1186\/s12859-023-05622-4","article-title":"A multimodal graph neural network framework for cancer molecular subtype classification","volume":"25","author":"Li","year":"2024","journal-title":"BMC Bioinformatics"},{"key":"10.1016\/j.cca.2026.122885_bb0920","doi-asserted-by":"crossref","first-page":"8261","DOI":"10.1038\/s41467-025-63688-5","article-title":"Flexynesis: a deep learning toolkit for bulk multi-omics data integration for precision oncology and beyond","volume":"16","author":"Uyar","year":"2025","journal-title":"Nat. Commun."},{"key":"10.1016\/j.cca.2026.122885_bb0925","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1186\/s12864-025-11925-y","article-title":"A review on multi-omics integration for aiding study design of large scale TCGA cancer datasets","volume":"26","author":"Han","year":"2025","journal-title":"BMC Genomics"},{"key":"10.1016\/j.cca.2026.122885_bb0930","first-page":"1","article-title":"AI-driven Chemometrics for multi-omics data integration: advances, challenges, and future directions","author":"Polu","year":"2026","journal-title":"Crit. Rev. Anal. Chem."},{"key":"10.1016\/j.cca.2026.122885_bb0935","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1111\/j.1467-9868.2005.00503.x","article-title":"Regularization and variable selection via the elastic net","volume":"67","author":"Zou","year":"2005","journal-title":"J. R. Stat. Soc. Ser. B Stat Methodol."},{"key":"10.1016\/j.cca.2026.122885_bb0940","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."},{"key":"10.1016\/j.cca.2026.122885_bb0945","doi-asserted-by":"crossref","DOI":"10.3389\/fgene.2017.00084","article-title":"More is better: recent Progress in multi-omics data integration methods","author":"Huang","year":"2017","journal-title":"Front. Genet."},{"key":"10.1016\/j.cca.2026.122885_bb0950","doi-asserted-by":"crossref","first-page":"i457","DOI":"10.1093\/bioinformatics\/bty294","article-title":"Modeling polypharmacy side effects with graph convolutional networks","volume":"34","author":"Zitnik","year":"2018","journal-title":"Bioinformatics"},{"key":"10.1016\/j.cca.2026.122885_bb0955","doi-asserted-by":"crossref","DOI":"10.1136\/bmj.m441","article-title":"Calculating the sample size required for developing a clinical prediction model","author":"Riley","year":"2020","journal-title":"BMJ"},{"key":"10.1016\/j.cca.2026.122885_bb0960","series-title":"Proc. 22nd ACM SIGKDD Int. Conf. Knowl. Discov","first-page":"1135","article-title":"\u201cWhy should I trust You?\u201d: Explaining the predictions of any classifier","author":"Ribeiro","year":"2016"},{"key":"10.1016\/j.cca.2026.122885_bb0965","doi-asserted-by":"crossref","first-page":"55","DOI":"10.7326\/M14-0697","article-title":"Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement","volume":"162","author":"Collins","year":"2015","journal-title":"Ann. Intern. Med."},{"key":"10.1016\/j.cca.2026.122885_bb0970","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijmedinf.2025.106041","article-title":"Machine learning techniques for stroke prediction: a systematic review of algorithms, datasets, and regional gaps","volume":"203","author":"Soladoye","year":"2025","journal-title":"Int. J. Med. Inform."},{"key":"10.1016\/j.cca.2026.122885_bb0975","doi-asserted-by":"crossref","DOI":"10.1038\/s41746-026-02470-3","article-title":"Interpretable machine learning models for stroke risk prediction in patients with newly diagnosed atrial fibrillation","volume":"9","author":"Lin","year":"2026","journal-title":"NPJ Digit. Med."},{"key":"10.1016\/j.cca.2026.122885_bb0980","doi-asserted-by":"crossref","first-page":"1678815","DOI":"10.3389\/fneur.2025.1678815","article-title":"Development and validation of explainable machine learning models for predicting 3-month functional outcomes in acute ischemic stroke: a SHAP-based approach","volume":"16","author":"Chen","year":"2025","journal-title":"Front. Neurol."},{"key":"10.1016\/j.cca.2026.122885_bb0985","doi-asserted-by":"crossref","DOI":"10.1177\/17562864251342429","article-title":"Prediction of outcomes following intravenous thrombolysis in patients with acute ischemic stroke using serum UCH-L1, S100\u03b2, and NSE: a multicenter prospective cohort study employing machine learning methods","volume":"18","author":"Luo","year":"2025","journal-title":"Ther. Adv. Neurol. Disord."},{"key":"10.1016\/j.cca.2026.122885_bb0990","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1159\/000550930","article-title":"Early prediction of adverse stroke outcomes using nonclinical factors and missing data: a machine learning study","author":"Tvrda","year":"2026","journal-title":"Cerebrovasc. Dis."},{"key":"10.1016\/j.cca.2026.122885_bb0995","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1093\/jalm\/jfae115","article-title":"Unraveling uncertainty: the impact of biological and analytical variation on the prediction uncertainty of categorical prediction models","volume":"10","author":"Martens","year":"2025","journal-title":"J. Appl. Lab. Med."},{"key":"10.1016\/j.cca.2026.122885_bb1000","doi-asserted-by":"crossref","first-page":"1198","DOI":"10.1002\/ana.78168","article-title":"Individualized treatment in distal and medium vessel occlusion stroke using a validated explainable counterfactual treatment estimation model","volume":"99","author":"Doheim","year":"2026","journal-title":"Ann. Neurol."},{"key":"10.1016\/j.cca.2026.122885_bb1005","doi-asserted-by":"crossref","DOI":"10.1136\/bmj-2025-085810","article-title":"Effect of a clinical decision support system on stroke care quality and outcomes in patients with acute ischaemic stroke (GOLDEN BRIDGE II): cluster randomised clinical trial","volume":"392","author":"Zhang","year":"2026","journal-title":"BMJ"},{"key":"10.1016\/j.cca.2026.122885_bb1010","doi-asserted-by":"crossref","DOI":"10.3390\/biomedicines12051071","article-title":"Plasma biomarkers for hypertension-mediated organ damage detection: a narrative review","volume":"12","author":"Liu","year":"2024","journal-title":"Biomedicines"},{"key":"10.1016\/j.cca.2026.122885_bb1015","doi-asserted-by":"crossref","DOI":"10.1111\/ene.70178","article-title":"Central blood pressure, and the risk of incident stroke in hypertensive adults","volume":"32","author":"Cao","year":"2025","journal-title":"Eur. J. Neurol."},{"key":"10.1016\/j.cca.2026.122885_bb1020","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1038\/s41371-026-01118-9","article-title":"C-reactive protein and residual cardiovascular risk in hypertension: a prospective cohort study","volume":"40","author":"Cai","year":"2026","journal-title":"J. Hum. Hypertens."},{"key":"10.1016\/j.cca.2026.122885_bb1025","doi-asserted-by":"crossref","first-page":"3823","DOI":"10.1093\/eurheartj\/ehaf517","article-title":"Cardiovascular biomarkers for risk stratification in primary prevention","volume":"46","author":"Neumann","year":"2025","journal-title":"Eur. Heart J."},{"key":"10.1016\/j.cca.2026.122885_bb1030","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1093\/ajh\/hpae035","article-title":"Associations of ambulatory blood pressure measurements with high-sensitivity troponin and natriuretic peptide levels in SPRINT","volume":"37","author":"Venishetty","year":"2024","journal-title":"Am. J. Hypertens."},{"key":"10.1016\/j.cca.2026.122885_bb1035","doi-asserted-by":"crossref","first-page":"1661563","DOI":"10.3389\/fcvm.2025.1661563","article-title":"Pathophysiology and emerging biomarkers of cardiovascular-renal-hepato-metabolic syndrome","volume":"12","author":"Nzobokela","year":"2025","journal-title":"Front. Cardiovasc. Med."},{"key":"10.1016\/j.cca.2026.122885_bb1040","doi-asserted-by":"crossref","first-page":"590","DOI":"10.1186\/s12916-024-03805-1","article-title":"Physiological measures variability and risks of heart disease and stroke: evidence from three cohort studies","volume":"22","author":"Liu","year":"2024","journal-title":"BMC Med."},{"key":"10.1016\/j.cca.2026.122885_bb1045","doi-asserted-by":"crossref","DOI":"10.1093\/clinchem\/hvag051","article-title":"Biological variation of natriuretic peptides and other cardiovascular disease-related biomarkers: a systematic review and Meta-analysis","author":"Fern\u00e1ndez-Calle","year":"2026","journal-title":"Clin. Chem."},{"key":"10.1016\/j.cca.2026.122885_bb1050","doi-asserted-by":"crossref","first-page":"1355948","DOI":"10.3389\/fendo.2024.1355948","article-title":"Serum cystatin C and stroke risk: a national cohort and Mendelian randomization study","volume":"15","author":"Qi","year":"2024","journal-title":"Front. Endocrinol. (Lausanne)"},{"key":"10.1016\/j.cca.2026.122885_bb1055","article-title":"Von Willebrand factor antigen levels predict poor outcomes in patients with stroke and Cancer: findings from the multicenter, prospective","volume":"13","author":"Kawano","year":"2024","journal-title":"Observational SCAN Study., J. Am. Heart Assoc."},{"key":"10.1016\/j.cca.2026.122885_bb1060","first-page":"331","article-title":"Diagnostic utility of N-terminal pro-B-type natriuretic peptide in identifying atrial fibrillation post-cryptogenic stroke: a systematic review and Meta-analysis","volume":"31","author":"Patel","year":"2024","journal-title":"Pathophysiol. Off. J. Int. Soc. Pathophysiol."},{"key":"10.1016\/j.cca.2026.122885_bb1065","article-title":"Growth differentiation factor 15 predicts cardiovascular events in peripheral artery disease","volume":"15","author":"Li","year":"2025","journal-title":"Biomolecules"},{"key":"10.1016\/j.cca.2026.122885_bb1070","doi-asserted-by":"crossref","first-page":"573","DOI":"10.1001\/jama.2023.27188","article-title":"Apixaban to prevent recurrence after cryptogenic stroke in patients with atrial cardiopathy: The ARCADIA randomized clinical trial","volume":"331","author":"Kamel","year":"2024","journal-title":"JAMA"},{"key":"10.1016\/j.cca.2026.122885_bb1075","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1186\/s13098-025-01897-0","article-title":"Exploring the role of miR-126 in diabetes and its complications: a comprehensive review","volume":"17","author":"Rasmi","year":"2025","journal-title":"Diabetol. Metab. Syndr."},{"key":"10.1016\/j.cca.2026.122885_bb1080","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1038\/s41371-026-01123-y","article-title":"Natriuretic peptides and cardiac troponins in hypertension and heart failure: a contemporary review of the evidence","volume":"40","author":"Cai","year":"2026","journal-title":"J. Hum. Hypertens."},{"key":"10.1016\/j.cca.2026.122885_bb1085","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1186\/s40885-024-00265-w","article-title":"When and how to use ambulatory blood pressure monitoring and home blood pressure monitoring for managing hypertension","volume":"30","author":"Lee","year":"2024","journal-title":"Clin. Hypertens."},{"key":"10.1016\/j.cca.2026.122885_bb1090","article-title":"Electronic clinical decision support system for stroke risk screening in patients with atrial fibrillation in mental health care","volume":"9","author":"Farran","year":"2025","journal-title":"Mixed Methods Study., JMIR Cardio"},{"key":"10.1016\/j.cca.2026.122885_bb1095","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1016\/j.pathol.2024.11.005","article-title":"Clinical decision support in laboratory medicine: a review of clinical, organisational and financial impacts with emphasis on patient outcomes","volume":"57","author":"Esho","year":"2025","journal-title":"Pathology"},{"key":"10.1016\/j.cca.2026.122885_bb1100","doi-asserted-by":"crossref","first-page":"1813285","DOI":"10.3389\/fmolb.2026.1813285","article-title":"Translational insights into miR-126 and miR-423: biomarkers and therapeutic targets in cancer, cardiovascular, metabolic and kidney diseases","volume":"13","author":"Rodzo\u0144-Norwicz","year":"2026","journal-title":"Front. Mol. Biosci."},{"key":"10.1016\/j.cca.2026.122885_bb1105","doi-asserted-by":"crossref","first-page":"516","DOI":"10.1007\/s10143-025-03662-3","article-title":"Lipid peroxidation metabolites as biomarkers in patients with aneurysmal subarachnoid hemorrhage and cerebral vasospasm or delayed cerebral ischemia: a systematic review","volume":"48","author":"Koc","year":"2025","journal-title":"Neurosurg. Rev."},{"key":"10.1016\/j.cca.2026.122885_bb1110","doi-asserted-by":"crossref","first-page":"578","DOI":"10.1038\/s41746-025-01958-8","article-title":"Comparison of SHAP and clinician friendly explanations reveals effects on clinical decision behaviour","volume":"8","author":"Hur","year":"2025","journal-title":"NPJ Digit. Med."},{"key":"10.1016\/j.cca.2026.122885_bb1115","doi-asserted-by":"crossref","first-page":"2037","DOI":"10.1515\/cclm-2024-0041","article-title":"Sharing reference intervals and monitoring patients across laboratories - findings from a likely commutable external quality assurance program","volume":"62","author":"Farrell","year":"2024","journal-title":"Clin. Chem. Lab. Med."},{"key":"10.1016\/j.cca.2026.122885_bb1120","doi-asserted-by":"crossref","DOI":"10.1016\/j.thromres.2024.109171","article-title":"Limitations of a platelet count-based clinical decision support system to facilitate diagnosis of heparin-induced thrombocytopenia","volume":"243","author":"Westbrook","year":"2024","journal-title":"Thromb. Res."},{"key":"10.1016\/j.cca.2026.122885_bb1125","doi-asserted-by":"crossref","first-page":"100631","DOI":"10.1016\/j.mayocpiqo.2025.100631","article-title":"Prospective evaluation of artificial intelligence imaging support software for acute ischemic stroke in the Mayo Clinic Telestroke network","volume":"9","author":"Smith","year":"2025","journal-title":"Mayo Clin. Proceedings. Innov. Qual. Outcomes"},{"key":"10.1016\/j.cca.2026.122885_bb1130","doi-asserted-by":"crossref","first-page":"e1006","DOI":"10.1161\/CIR.0000000000001307","article-title":"Risk-based primary prevention of heart failure: a scientific statement from the American Heart Association","volume":"151","author":"Khan","year":"2025","journal-title":"Circulation"},{"key":"10.1016\/j.cca.2026.122885_bb1135","doi-asserted-by":"crossref","DOI":"10.1016\/j.atherosclerosis.2025.120447","article-title":"Lp(a) testing for the primary prevention of cardiovascular disease in high-income countries: a cost-effectiveness analysis","volume":"409","author":"Morton","year":"2025","journal-title":"Atherosclerosis"},{"issue":"Suppl. 8","key":"10.1016\/j.cca.2026.122885_bb1140","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1111\/dom.70044","article-title":"Biomarkers for cardiovascular-kidney metabolic syndrome: clinical utility in diagnosis, screening, and treatment., diabetes","volume":"27","author":"Yau","year":"2025","journal-title":"Obes. Metab."},{"issue":"Suppl. 8","key":"10.1016\/j.cca.2026.122885_bb1145","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1111\/dom.16359","article-title":"Gansevoort, developments in albuminuria testing: a key biomarker for detection, prognosis and surveillance of kidney and cardiovascular disease-a practical update for clinicians","volume":"27","author":"Beernink","year":"2025","journal-title":"Diabetes. Obes. Metab."},{"key":"10.1016\/j.cca.2026.122885_bb1150","doi-asserted-by":"crossref","first-page":"710","DOI":"10.1093\/jalm\/jfae161","article-title":"High-sensitivity cardiac troponin assays: from implementation to resource utilization and cost effectiveness","volume":"10","author":"Lee","year":"2025","journal-title":"J. Appl. Lab. Med."},{"key":"10.1016\/j.cca.2026.122885_bb1155","doi-asserted-by":"crossref","DOI":"10.1016\/j.cca.2024.119817","article-title":"Head-to-head comparison of four plasma neurofilament light chain (NfL) immunoassays","volume":"561","author":"Ashrafzadeh-Kian","year":"2024","journal-title":"Clin. Chim. Acta"},{"key":"10.1016\/j.cca.2026.122885_bb1160","article-title":"Clinical use and reporting of neurofilament quantification in neurological disorders: a global overview","volume":"21","author":"Delaby","year":"2025","journal-title":"Alzheimers. Dement"},{"key":"10.1016\/j.cca.2026.122885_bb1165","doi-asserted-by":"crossref","first-page":"1173","DOI":"10.1016\/j.jacc.2024.11.052","article-title":"Biomarker-based model for prediction of ischemic stroke in patients with atrial fibrillation","volume":"85","author":"Wallentin","year":"2025","journal-title":"J. Am. Coll. Cardiol."},{"key":"10.1016\/j.cca.2026.122885_bb1170","doi-asserted-by":"crossref","first-page":"3160","DOI":"10.1016\/j.jtha.2025.06.007","article-title":"Improving stroke risk prediction in atrial fibrillation with circulating biomarkers: the CHA(2)DS(2)-VASc-biomarkers model","volume":"23","author":"Short","year":"2025","journal-title":"J. Thromb. Haemost."},{"key":"10.1016\/j.cca.2026.122885_bb1175","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1002\/sim.2929","article-title":"Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond","volume":"27","author":"Pencina","year":"2008","journal-title":"Stat. Med."},{"key":"10.1016\/j.cca.2026.122885_bb1180","doi-asserted-by":"crossref","first-page":"2408","DOI":"10.1161\/CIRCULATIONAHA.109.192278","article-title":"Criteria for evaluation of novel markers of cardiovascular risk: a scientific statement from the American Heart Association","volume":"119","author":"Hlatky","year":"2009","journal-title":"Circulation"},{"key":"10.1016\/j.cca.2026.122885_bb1185","doi-asserted-by":"crossref","first-page":"468","DOI":"10.7326\/0003-4819-156-6-201203200-00013","article-title":"Framework for evaluating novel risk markers","volume":"156","author":"Hlatky","year":"2012","journal-title":"Ann. Intern. Med."},{"key":"10.1016\/j.cca.2026.122885_bb1190","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1161\/01.HYP.0000224147.01024.77","article-title":"Cardiovascular function in a rat model of diet-induced obesity","volume":"48","author":"Carroll","year":"2006","journal-title":"Hypertens. (Dallas, Tex. 1979)"},{"key":"10.1016\/j.cca.2026.122885_bb1195","doi-asserted-by":"crossref","first-page":"1217","DOI":"10.1126\/science.1216427","article-title":"Personalized cancer diagnostics","volume":"334","author":"Corless","year":"2011","journal-title":"Science"},{"key":"10.1016\/j.cca.2026.122885_bb1200","doi-asserted-by":"crossref","first-page":"968","DOI":"10.1177\/23969873241250272","article-title":"Biomarkers to improve functional outcome prediction after ischemic stroke: results from the SICFAIL, STRAWINSKI, and PREDICT studies","volume":"9","author":"Montellano","year":"2024","journal-title":"Eur. Stroke J."},{"key":"10.1016\/j.cca.2026.122885_bb1205","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1111\/j.1365-2796.2005.01550.x","article-title":"Abnormal angiopoietins 1&2, angiopoietin receptor Tie-2 and vascular endothelial growth factor levels in hypertension: relationship to target organ damage [a sub-study of the Anglo-Scandinavian cardiac outcomes trial (ASCOT)]","volume":"258","author":"Nadar","year":"2005","journal-title":"J. Intern. Med."},{"key":"10.1016\/j.cca.2026.122885_bb1210","doi-asserted-by":"crossref","first-page":"2159","DOI":"10.1016\/j.jacc.2015.09.007","article-title":"Target organ complications and cardiovascular events associated with masked hypertension and white-coat hypertension: analysis from the Dallas heart study","volume":"66","author":"Tientcheu","year":"2015","journal-title":"J. Am. Coll. Cardiol."},{"key":"10.1016\/j.cca.2026.122885_bb1215","first-page":"136","article-title":"Plasma proteomics uncovers divergent molecular signatures in ischemic stroke and intracerebral hemorrhage., biomark","volume":"13","author":"N\u00fa\u00f1ez-Jurado","year":"2025","journal-title":"Res"},{"key":"10.1016\/j.cca.2026.122885_bb1220","article-title":"Emerging biomarkers in ischemic stroke","volume":"9","author":"Lee","year":"2025","journal-title":"Vessel Plus"},{"key":"10.1016\/j.cca.2026.122885_bb1225","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1038\/s43856-025-00872-0","article-title":"Interpretable machine learning leverages proteomics to improve cardiovascular disease risk prediction and biomarker identification","volume":"5","author":"Climente-Gonz\u00e1lez","year":"2025","journal-title":"Commun. Med."},{"key":"10.1016\/j.cca.2026.122885_bb1230","doi-asserted-by":"crossref","DOI":"10.3390\/metabo15120806","article-title":"A stability-oriented biomarker selection framework synergistically driven by robust rank aggregation and L1-sparse modeling","volume":"15","author":"Luo","year":"2025","journal-title":"Metabolites"},{"key":"10.1016\/j.cca.2026.122885_bb1235","doi-asserted-by":"crossref","first-page":"2380","DOI":"10.1161\/STROKEAHA.125.051498","article-title":"Implementing blood biomarkers in stroke research and clinical practice","volume":"56","author":"Barba","year":"2025","journal-title":"Stroke"},{"key":"10.1016\/j.cca.2026.122885_bb1240","doi-asserted-by":"crossref","first-page":"2073","DOI":"10.1016\/S0140-6736(10)60674-5","article-title":"Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis","volume":"375","author":"Matsushita","year":"2010","journal-title":"Lancet (London, England)"},{"key":"10.1016\/j.cca.2026.122885_bb1245","doi-asserted-by":"crossref","first-page":"2049","DOI":"10.1056\/NEJMoa043161","article-title":"Cystatin C and the risk of death and cardiovascular events among elderly persons","volume":"352","author":"Shlipak","year":"2005","journal-title":"N. Engl. J. Med."},{"key":"10.1016\/j.cca.2026.122885_bb1250","doi-asserted-by":"crossref","first-page":"2494","DOI":"10.1001\/jama.2010.1708","article-title":"Association of serial measures of cardiac troponin T using a sensitive assay with incident heart failure and cardiovascular mortality in older adults","volume":"304","author":"deFilippi","year":"2010","journal-title":"JAMA"},{"key":"10.1016\/j.cca.2026.122885_bb1255","doi-asserted-by":"crossref","first-page":"655","DOI":"10.1056\/NEJMoa031994","article-title":"Plasma natriuretic peptide levels and the risk of cardiovascular events and death","volume":"350","author":"Wang","year":"2004","journal-title":"N. Engl. J. Med."},{"key":"10.1016\/j.cca.2026.122885_bb1260","doi-asserted-by":"crossref","first-page":"2195","DOI":"10.1056\/NEJMoa0807646","article-title":"Rosuvastatin to prevent vascular events in men and women with elevated C-reactive protein","volume":"359","author":"Ridker","year":"2008","journal-title":"N. Engl. J. Med."},{"key":"10.1016\/j.cca.2026.122885_bb1265","doi-asserted-by":"crossref","first-page":"1186","DOI":"10.1111\/j.1538-7836.2006.01949.x","article-title":"von Willebrand factor, endothelial dysfunction, and cardiovascular disease","volume":"4","author":"Vischer","year":"2006","journal-title":"J. Thromb. Haemost."},{"key":"10.1016\/j.cca.2026.122885_bb1270","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1080\/07853890701779586","article-title":"Angiopoietin-2 levels as a biomarker of cardiovascular risk in patients with hypertension","volume":"40","author":"Patel","year":"2008","journal-title":"Ann. Med."},{"key":"10.1016\/j.cca.2026.122885_bb1275","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1093\/eurheartj\/ehq013","article-title":"Circulating microRNA: a novel potential biomarker for early diagnosis of acute myocardial infarction in humans","volume":"31","author":"Wang","year":"2010","journal-title":"Eur. Heart J."},{"key":"10.1016\/j.cca.2026.122885_bb1280","doi-asserted-by":"crossref","first-page":"1967","DOI":"10.1093\/eurheartj\/ehw148","article-title":"Plasma ceramides predict cardiovascular death in patients with stable coronary artery disease and acute coronary syndromes beyond LDL-cholesterol","volume":"37","author":"Laaksonen","year":"2016","journal-title":"Eur. Heart J."},{"key":"10.1016\/j.cca.2026.122885_bb1285","doi-asserted-by":"crossref","first-page":"1446","DOI":"10.1016\/j.cca.2012.06.012","article-title":"Urinary biomarkers of oxidative status","volume":"413","author":"Il'yasova","year":"2012","journal-title":"Clin. Chim. Acta"},{"key":"10.1016\/j.cca.2026.122885_bb1290","doi-asserted-by":"crossref","first-page":"870","DOI":"10.1136\/jnnp-2018-320106","article-title":"Neurofilament light chain as a biomarker in neurological disorders","volume":"90","author":"Gaetani","year":"2019","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"10.1016\/j.cca.2026.122885_bb1295","doi-asserted-by":"crossref","DOI":"10.1016\/j.atherosclerosis.2024.118583","article-title":"Nucleic acid liquid biopsies in cardiovascular disease: cell-free DNA liquid biopsies in cardiovascular disease","volume":"398","author":"Artner","year":"2024","journal-title":"Atherosclerosis"},{"key":"10.1016\/j.cca.2026.122885_bb1300","article-title":"The impact of tube type, centrifugation conditions, and hemolysis on plasma circulating MicroRNAs","volume":"14","author":"Pastor-Navarro","year":"2024","journal-title":"Diagnostics (Basel, Switzerland)"},{"key":"10.1016\/j.cca.2026.122885_bb1305","doi-asserted-by":"crossref","first-page":"13560","DOI":"10.1038\/s41598-024-63633-4","article-title":"Small RNA signatures of acute ischemic stroke in L1CAM positive extracellular vesicles","volume":"14","author":"Manwani","year":"2024","journal-title":"Sci. Rep."},{"key":"10.1016\/j.cca.2026.122885_bb1310","doi-asserted-by":"crossref","DOI":"10.3390\/ijms25126761","article-title":"Machine learning-based etiologic subtyping of ischemic stroke using circulating exosomal microRNAs","volume":"25","author":"Bang","year":"2024","journal-title":"Int. J. Mol. Sci."},{"key":"10.1016\/j.cca.2026.122885_bb1315","doi-asserted-by":"crossref","first-page":"751","DOI":"10.1177\/23969873241234436","article-title":"Incremental value of serum neurofilament light chain and glial fibrillary acidic protein as blood-based biomarkers for predicting functional outcome in severe acute ischemic stroke","volume":"9","author":"Vollmuth","year":"2024","journal-title":"Eur. Stroke J."},{"key":"10.1016\/j.cca.2026.122885_bb1320","doi-asserted-by":"crossref","first-page":"1709461","DOI":"10.3389\/fcell.2025.1709461","article-title":"Extracellular vesicles in laboratory medicine: a review and outlook","volume":"13","author":"Wang","year":"2025","journal-title":"front. Cell Dev. Biol."},{"key":"10.1016\/j.cca.2026.122885_bb1325","doi-asserted-by":"crossref","first-page":"606","DOI":"10.1093\/jalm\/jfaf200","article-title":"Extracellular vesicles for acute care testing: a review of potential laboratory applications","volume":"11","author":"Mohapatra","year":"2026","journal-title":"J. Appl. Lab. Med."},{"key":"10.1016\/j.cca.2026.122885_bb1330","article-title":"Association of the longitudinal trajectory of urinary albumin\/creatinine ratio in diabetic patients with adverse cardiac event risk: a retrospective cohort study","volume":"15","author":"Li","year":"2024","journal-title":"Front. Endocrinol. (Lausanne)"},{"key":"10.1016\/j.cca.2026.122885_bb1335","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1136\/jech-2024-222517","article-title":"Six-year change in high-sensitivity cardiac troponin T with subsequent stroke risk in the general population","volume":"79","author":"Meng","year":"2025","journal-title":"J. Epidemiol. Community Health"},{"key":"10.1016\/j.cca.2026.122885_bb1340","doi-asserted-by":"crossref","DOI":"10.1161\/JAHA.123.032254","article-title":"Longitudinal NT-proBNP: associations with echocardiographic changes and outcomes in heart failure","volume":"13","author":"Teramoto","year":"2024","journal-title":"J. Am. Heart Assoc."},{"key":"10.1016\/j.cca.2026.122885_bb1345","doi-asserted-by":"crossref","first-page":"3375","DOI":"10.1016\/j.ekir.2024.09.001","article-title":"Exploring angiopoietin-2: clinical insights and experimental perspectives in kidney diseases","volume":"9","author":"Luo","year":"2024","journal-title":"Kidney Int. Reports"},{"key":"10.1016\/j.cca.2026.122885_bb1350","doi-asserted-by":"crossref","DOI":"10.3390\/genes16121494","article-title":"APOE genotype and endothelial biomarkers: towards personalized cardiovascular screening","volume":"16","author":"Titolo","year":"2025","journal-title":"Genes (Basel)"},{"key":"10.1016\/j.cca.2026.122885_bb1355","article-title":"The role of oxidative stress and inflammatory parameters in heart failure","volume":"60","author":"Wr\u00f3bel-Nowicka","year":"2024","journal-title":"Medicina (Kaunas)"},{"key":"10.1016\/j.cca.2026.122885_bb1360","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1093\/clinchem\/hvae166","article-title":"Estimating reference change values using routine patient data: a novel pathology database approach","volume":"71","author":"R\u00f8ys","year":"2025","journal-title":"Clin. Chem."},{"key":"10.1016\/j.cca.2026.122885_bb1365","doi-asserted-by":"crossref","first-page":"1432","DOI":"10.1093\/jnci\/djn326","article-title":"Pivotal evaluation of the accuracy of a biomarker used for classification or prediction: standards for study design","volume":"100","author":"Pepe","year":"2008","journal-title":"J. Natl. Cancer Inst."},{"key":"10.1016\/j.cca.2026.122885_bb1370","doi-asserted-by":"crossref","first-page":"2345","DOI":"10.1001\/jama.2009.1757","article-title":"Assessment of claims of improved prediction beyond the Framingham risk score","volume":"302","author":"Tzoulaki","year":"2009","journal-title":"JAMA"},{"key":"10.1016\/j.cca.2026.122885_bb1375","doi-asserted-by":"crossref","DOI":"10.1148\/radiol.2015151516","article-title":"STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies","volume":"277","author":"Bossuyt","year":"2015","journal-title":"Radiology"},{"key":"10.1016\/j.cca.2026.122885_bb1380","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1186\/s12916-019-1426-2","article-title":"Key challenges for delivering clinical impact with artificial intelligence","volume":"17","author":"Kelly","year":"2019","journal-title":"BMC Med."},{"key":"10.1016\/j.cca.2026.122885_bb1385","article-title":"Temperature stability of urinary F(2)-isoprostane and 8-hydroxy-2\u2032-deoxyguanosine","volume":"39","author":"Kordas","year":"2024","journal-title":"Pract. Lab. Med."},{"key":"10.1016\/j.cca.2026.122885_bb1390","doi-asserted-by":"crossref","first-page":"677","DOI":"10.1093\/clinchem\/hvaf030","article-title":"Correlations within and between highly multiplexed proteomic assays of human plasma","volume":"71","author":"Rooney","year":"2025","journal-title":"Clin. Chem."},{"key":"10.1016\/j.cca.2026.122885_bb1395","doi-asserted-by":"crossref","first-page":"148","DOI":"10.4102\/jcmsa.v3i1.148","article-title":"What's in a number: falling on the sword of cut-off points and reference limits?","volume":"3","author":"Gounden","year":"2025","journal-title":"J. Coll. Med. South Africa"},{"key":"10.1016\/j.cca.2026.122885_bb1400","doi-asserted-by":"crossref","DOI":"10.1002\/jcla.23551","article-title":"The impact of pre-analytical variations on biochemical analytes stability: a systematic review","volume":"34","author":"Hedayati","year":"2020","journal-title":"J. Clin. Lab. Anal."},{"key":"10.1016\/j.cca.2026.122885_bb1405","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1177\/0272989X06295361","article-title":"Decision curve analysis: a novel method for evaluating prediction models","volume":"26","author":"Vickers","year":"2006","journal-title":"Med. Decis. Making"},{"key":"10.1016\/j.cca.2026.122885_bb1410","doi-asserted-by":"crossref","unstructured":"J.C. Denny, F.S. Collins, Precision medicine in 2030&#x2014;seven ways to transform healthcare, Cell 184 (2021) 1415\u20131419. DOI:https:\/\/doi.org\/10.1016\/j.cell.2021.01.015.","DOI":"10.1016\/j.cell.2021.01.015"},{"key":"10.1016\/j.cca.2026.122885_bb1415","article-title":"Evaluation of clinical prediction models (part 2): how to undertake an external validation study","volume":"384","author":"Riley","year":"2024","journal-title":"BMJ"},{"key":"10.1016\/j.cca.2026.122885_bb1420","doi-asserted-by":"crossref","first-page":"512","DOI":"10.1093\/postmj\/qgae027","article-title":"Understanding decision curve analysis in clinical prediction model research","volume":"100","author":"Zhao","year":"2024","journal-title":"Postgrad. Med. J."},{"key":"10.1016\/j.cca.2026.122885_bb1425","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1159\/000173710","article-title":"Homocysteine and cognitive impairment. Relation with diagnosis and neuropsychological performance","volume":"26","author":"Sala","year":"2008","journal-title":"Dement. Geriatr. Cogn. Disord."},{"key":"10.1016\/j.cca.2026.122885_bb1430","first-page":"5977","article-title":"Validation of biomarker-based risk prediction models., Clin. Cancer res. An off. J. Am. Assoc","volume":"14","author":"Taylor","year":"2008","journal-title":"Cancer Res."},{"key":"10.1016\/j.cca.2026.122885_bb1435","doi-asserted-by":"crossref","first-page":"1623","DOI":"10.1161\/CIRCULATIONAHA.109.865535","article-title":"Cardioversion: past, present, and future","volume":"120","author":"Cakulev","year":"2009","journal-title":"Circulation"},{"key":"10.1016\/j.cca.2026.122885_bb1440","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1186\/s12911-025-02944-6","article-title":"The role of explainable artificial intelligence in disease prediction: a systematic literature review and future research directions","volume":"25","author":"Alkhanbouli","year":"2025","journal-title":"BMC med. Inform. Decis. Mak."},{"key":"10.1016\/j.cca.2026.122885_bb1445","doi-asserted-by":"crossref","first-page":"31392","DOI":"10.1038\/s41598-024-82931-5","article-title":"Explainable artificial intelligence for stroke prediction through comparison of deep learning and machine learning models","volume":"14","author":"Moulaei","year":"2024","journal-title":"Sci. Rep."},{"key":"10.1016\/j.cca.2026.122885_bb1450","doi-asserted-by":"crossref","first-page":"1444763","DOI":"10.3389\/frobt.2024.1444763","article-title":"Enhancing interpretability and accuracy of AI models in healthcare: a comprehensive review on challenges and future directions","volume":"11","author":"Ennab","year":"2024","journal-title":"Front. Robot. AI"},{"key":"10.1016\/j.cca.2026.122885_bb1455","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2025.110944","article-title":"Evaluating explanation performance for clinical decision support systems for non-imaging data: a systematic literature review","volume":"197","author":"Roychowdhury","year":"2025","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.cca.2026.122885_bb1460","doi-asserted-by":"crossref","DOI":"10.4252\/wjsc.v17.i6.106520","article-title":"MiR-126 regulates the effect of mesenchymal stem cell vascular repair on carotid atherosclerosis through MAPK\/ERK signaling pathway","volume":"17","author":"Ye","year":"2025","journal-title":"world J. Stem Cells"},{"key":"10.1016\/j.cca.2026.122885_bb1465","doi-asserted-by":"crossref","DOI":"10.3389\/fmolb.2025.1611842","article-title":"Linking oxidative stress biomarkers to disease progression and antioxidant therapy in hypertension and diabetes mellitus","volume":"12","author":"Nu\u00f1ez-Selles","year":"2025","journal-title":"Front. Mol. Biosci."},{"key":"10.1016\/j.cca.2026.122885_bb1470","article-title":"Advancements in biomarkers for early detection and risk stratification of cardiovascular diseases-A literature review","volume":"8","author":"Nazir","year":"2025","journal-title":"Heal. Sci. Reports"},{"key":"10.1016\/j.cca.2026.122885_bb1475","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1007\/s11897-024-00689-3","article-title":"Ceramides as biomarkers of cardiovascular diseases and heart failure","volume":"22","author":"Augusto","year":"2024","journal-title":"Curr. Heart Fail. Rep."}],"container-title":["Clinica Chimica Acta"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S000989812602067X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S000989812602067X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,18]],"date-time":"2026-10-18T04:11:14Z","timestamp":1792296674000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S000989812602067X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2027,3]]},"references-count":295,"alternative-id":["S000989812602067X"],"URL":"https:\/\/doi.org\/10.1016\/j.cca.2026.122885","relation":{},"ISSN":["0009-8981"],"issn-type":[{"value":"0009-8981","type":"print"}],"subject":[],"published":{"date-parts":[[2027,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Beyond blood pressure: AI-assisted multi-omics biomarker stratification for stroke risk in hypertension: clinical chemistry, analytical validation, and translational perspectives","name":"articletitle","label":"Article Title"},{"value":"Clinica Chimica Acta","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cca.2026.122885","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"122885"}}