{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T20:43:44Z","timestamp":1792788224275,"version":"4.5.0"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T00:00:00Z","timestamp":1789430400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T00:00:00Z","timestamp":1790208000000},"content-version":"vor","delay-in-days":9,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"National Natural Science Foundation of China","award":["No.82370438"],"award-info":[{"award-number":["No.82370438"]}],"id":[{"id":"https:\/\/ror.org\/01h0zpd94","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Lipids Health Dis"],"DOI":"10.1186\/s12944-026-03048-4","type":"journal-article","created":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T03:23:13Z","timestamp":1789442593000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A cardiometabolic risk phenotype index integrating insulin resistance, systemic inflammation, and psychological burden for mortality risk stratification in metabolic dysfunction-associated steatotic liver disease: an exploratory longitudinal analysis of a nationally representative cohort"],"prefix":"10.1186","volume":"25","author":[{"given":"Yan","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kailing","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ningkun","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haonan","family":"Ju","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingzhi","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,9,15]]},"reference":[{"issue":"6","key":"3048_CR1","doi-asserted-by":"publisher","first-page":"1542","DOI":"10.1016\/j.jhep.2023.06.003","volume":"79","author":"ME Rinella","year":"2023","unstructured":"Rinella ME, Lazarus JV, Ratziu V, Francque SM, Sanyal AJ, Kanwal F, et al. A multisociety Delphi consensus statement on new fatty liver disease nomenclature. J Hepatol. 2023;79(6):1542\u201356.","journal-title":"J Hepatol"},{"issue":"9","key":"3048_CR2","doi-asserted-by":"publisher","first-page":"851","DOI":"10.1016\/S2468-1253(22)00165-0","volume":"7","author":"K Riazi","year":"2022","unstructured":"Riazi K, Azhari H, Charette JH, Underwood FE, King JA, Afshar EE, et al. The prevalence and incidence of NAFLD worldwide: a systematic review and meta-analysis. Lancet Gastroenterol Hepatol. 2022;7(9):851\u201361.","journal-title":"Lancet Gastroenterol Hepatol"},{"issue":"7","key":"3048_CR3","doi-asserted-by":"publisher","first-page":"578","DOI":"10.1016\/S2468-1253(21)00020-0","volume":"6","author":"G Targher","year":"2021","unstructured":"Targher G, Tilg H, Byrne CD. Non-alcoholic fatty liver disease: a multisystem disease requiring a multidisciplinary and holistic approach. Lancet Gastroenterol Hepatol. 2021;6(7):578\u201388.","journal-title":"Lancet Gastroenterol Hepatol"},{"issue":"4","key":"3048_CR4","doi-asserted-by":"publisher","first-page":"691","DOI":"10.1136\/gutjnl-2023-330595","volume":"73","author":"G Targher","year":"2024","unstructured":"Targher G, Byrne CD, Tilg H. MASLD: a systemic metabolic disorder with cardiovascular and malignant complications. Gut. 2024;73(4):691\u2013702.","journal-title":"Gut"},{"issue":"6","key":"3048_CR5","doi-asserted-by":"publisher","first-page":"e168","DOI":"10.1161\/ATV.0000000000000153","volume":"42","author":"PB Duell","year":"2022","unstructured":"Duell PB, Welty FK, Miller M, Chait A, Hammond G, Ahmad Z, et al. Nonalcoholic fatty liver disease and cardiovascular risk: a scientific statement from the American Heart Association. Arterioscler Thromb Vasc Biol. 2022;42(6):e168\u201385.","journal-title":"Arterioscler Thromb Vasc Biol"},{"issue":"11","key":"3048_CR6","doi-asserted-by":"publisher","first-page":"903","DOI":"10.1016\/S2468-1253(21)00308-3","volume":"6","author":"A Mantovani","year":"2021","unstructured":"Mantovani A, Csermely A, Petracca G, Beatrice G, Corey KE, Simon TG, et al. Non-alcoholic fatty liver disease and risk of fatal and non-fatal cardiovascular events: an updated systematic review and meta-analysis. Lancet Gastroenterol Hepatol. 2021;6(11):903\u201313.","journal-title":"Lancet Gastroenterol Hepatol"},{"issue":"5","key":"3048_CR7","doi-asserted-by":"publisher","first-page":"3598","DOI":"10.1111\/dom.70536","volume":"28","author":"XM Wang","year":"2026","unstructured":"Wang XM, Yan H, Zhong WF, Xie JH, Chen H, Wang JJ, et al. Association of four insulin resistance indices with liver-related adverse outcomes: A prospective cohort study. Diabetes Obes Metab. 2026;28(5):3598\u2013611.","journal-title":"Diabetes Obes Metab"},{"key":"3048_CR8","doi-asserted-by":"publisher","first-page":"204201882614350","DOI":"10.1177\/20420188261435033","volume":"17","author":"X Yang","year":"2026","unstructured":"Yang X, Peng W. Association of insulin resistance-related indicators with cardiovascular disease and cardiovascular disease mortality in individuals with MASLD: a population-based study. Ther Adv Endocrinol Metab. 2026;17:20420188261435030.","journal-title":"Ther Adv Endocrinol Metab"},{"issue":"1","key":"3048_CR9","doi-asserted-by":"publisher","first-page":"448","DOI":"10.1186\/s12876-025-04018-3","volume":"25","author":"Y Wang","year":"2025","unstructured":"Wang Y, Chen K, Yu J, Tu Y, Zhao Y, Zhang Y, et al. Prognostic impact of systemic inflammation indicators on all-cause and CVD mortality in adults with MASLD. BMC Gastroenterol. 2025;25(1):448.","journal-title":"BMC Gastroenterol"},{"issue":"5","key":"3048_CR10","doi-asserted-by":"publisher","first-page":"103781","DOI":"10.1016\/j.numecd.2024.10.019","volume":"35","author":"Z Zhang","year":"2025","unstructured":"Zhang Z, Zhang W, Liu Z, Ou J, Sun Y, Zhang L, et al. Association between systemic inflammation markers and cardiovascular mortality in adults with metabolic dysfunction-associated steatotic liver disease. Nutr Metab Cardiovasc Dis. 2025;35(5):103781.","journal-title":"Nutr Metab Cardiovasc Dis"},{"issue":"1","key":"3048_CR11","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1007\/s12072-025-10922-3","volume":"20","author":"F Koutny","year":"2026","unstructured":"Koutny F, Frey V, Datz C, Gensluckner S, Prosenz J, Langthaler P, et al. Association between depression and metabolic dysfunction-associated steatotic liver disease: a cross-sectional analysis from the Paracelsus 10,000 study. Hepatol Int. 2026;20(1):59\u201368.","journal-title":"Hepatol Int"},{"issue":"1","key":"3048_CR12","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1007\/s12072-025-10943-y","volume":"20","author":"M Varshney","year":"2026","unstructured":"Varshney M, Sarin SK. Depression and MASLD: a shared burden of mind and metabolism. Hepatol Int. 2026;20(1):6\u20138.","journal-title":"Hepatol Int"},{"issue":"4","key":"3048_CR13","doi-asserted-by":"publisher","first-page":"1538","DOI":"10.1172\/JCI96139","volume":"128","author":"M Shimobayashi","year":"2018","unstructured":"Shimobayashi M, Albert V, Woelnerhanssen B, Frei IC, Weissenberger D, Meyer-Gerspach AC, et al. Insulin resistance causes inflammation in adipose tissue. J Clin Invest. 2018;128(4):1538\u201350.","journal-title":"J Clin Invest"},{"issue":"1","key":"3048_CR14","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1038\/s41392-022-01073-0","volume":"7","author":"M Li","year":"2022","unstructured":"Li M, Chi X, Wang Y, Setrerrahmane S, Xie W, Xu H. Trends in insulin resistance: insights into mechanisms and therapeutic strategy. Signal Transduct Target Ther. 2022;7(1):216.","journal-title":"Signal Transduct Target Ther"},{"issue":"11","key":"3048_CR15","doi-asserted-by":"publisher","first-page":"1381","DOI":"10.1016\/j.jacc.2025.08.047","volume":"87","author":"GA Mensah","year":"2026","unstructured":"Mensah GA, Arnold N, Prabhu SD, Ridker PM, Welty FK. Inflammation and Cardiovascular Disease: 2025 ACC Scientific Statement: A Report of the American College of Cardiology. J Am Coll Cardiol. 2026;87(11):1381\u2013404.","journal-title":"J Am Coll Cardiol"},{"issue":"13","key":"3048_CR16","doi-asserted-by":"publisher","DOI":"10.3346\/jkms.2026.41.e6","volume":"41","author":"E Kim","year":"2026","unstructured":"Kim E, Sohn W, Kim YT, Oh KS, Shin YC, Jeon SW, et al. Incidence of metabolic dysfunction-associated steatotic liver disease after developing depression: a population-based cohort study. J Korean Med Sci. 2026;41(13):e6.","journal-title":"J Korean Med Sci"},{"issue":"1","key":"3048_CR17","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1038\/s43856-025-01317-4","volume":"6","author":"D Yang","year":"2025","unstructured":"Yang D, Zhao N, Zhang W, Peng S, Qin X, He W. Association between mental health and MASLD molecular insights through metabolomics. Commun Med (Lond). 2025;6(1):59.","journal-title":"Commun Med (Lond)"},{"key":"3048_CR18","doi-asserted-by":"crossref","unstructured":"Tacke F, Horn P, Wong VW-S, Ratziu V, Bugianesi E, Francque S, et al. EASL\u2013EASD\u2013EASO Clinical Practice Guidelines on the management of metabolic dysfunction-associated steatotic liver disease (MASLD). Journal of hepatology. 2024;81(3):492\u2013542.","DOI":"10.1016\/j.jhep.2024.04.031"},{"issue":"20","key":"3048_CR19","doi-asserted-by":"publisher","first-page":"1606","DOI":"10.1161\/CIR.0000000000001184","volume":"148","author":"CE Ndumele","year":"2023","unstructured":"Ndumele CE, Rangaswami J, Chow SL, Neeland IJ, Tuttle KR, Khan SS, et al. Cardiovascular-Kidney-Metabolic Health: A Presidential Advisory From the American Heart Association. Circulation. 2023;148(20):1606\u201335.","journal-title":"Circulation"},{"key":"3048_CR20","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1186\/1471-230X-6-33","volume":"6","author":"G Bedogni","year":"2006","unstructured":"Bedogni G, Bellentani S, Miglioli L, Masutti F, Passalacqua M, Castiglione A, et al. The Fatty Liver Index: a simple and accurate predictor of hepatic steatosis in the general population. BMC Gastroenterol. 2006;6:33.","journal-title":"BMC Gastroenterol"},{"issue":"1","key":"3048_CR21","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1186\/s12902-024-01630-4","volume":"24","author":"F Najafi","year":"2024","unstructured":"Najafi F, Pasdar Y, Nazar MM, Darbandi M. Association between obesity phenotypes and non-alcoholic fatty liver: a large population- based study. BMC Endocr Disord. 2024;24(1):96.","journal-title":"BMC Endocr Disord"},{"issue":"1","key":"3048_CR22","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1186\/s12944-025-02694-4","volume":"24","author":"K Volaklis","year":"2025","unstructured":"Volaklis K, Freuer D, Meisinger C, Linseisen J. Body muscle mass versus fat mass: gender-specific associations with NAFLD and liver fibrosis. Lipids Health Dis. 2025;24(1):278.","journal-title":"Lipids Health Dis"},{"key":"3048_CR23","doi-asserted-by":"crossref","unstructured":"EASL-EASD-EASO Clinical Practice Guidelines for the management of non-alcoholic fatty liver disease. Diabetologia. 2016;59(6):1121\u201340.","DOI":"10.1007\/s00125-016-3902-y"},{"issue":"1","key":"3048_CR24","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1186\/s12902-024-01682-6","volume":"24","author":"S Sadafi","year":"2024","unstructured":"Sadafi S, Azizi A, Najafi F, Pasdar Y. Lipid accumulation product and type 2 diabetes risk: a population-based study. BMC Endocr Disord. 2024;24(1):147.","journal-title":"BMC Endocr Disord"},{"issue":"7","key":"3048_CR25","doi-asserted-by":"publisher","first-page":"36776","DOI":"10.31083\/RCM36776","volume":"26","author":"Y Chen","year":"2025","unstructured":"Chen Y, Zhou T, Luo S, Wang J, Yang F, Feng Y, et al. Association of estimated glucose disposal rate with risk of abdominal aortic aneurysm: evidence from a large-scale prospective cohort study of the UK Biobank. Rev Cardiovasc Med. 2025;26(7):36776.","journal-title":"Rev Cardiovasc Med"},{"issue":"1","key":"3048_CR26","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1186\/s12944-024-02277-9","volume":"23","author":"Y Chen","year":"2024","unstructured":"Chen Y, Xie K, Han Y, Ju H, Sun J, Zhao X. The association between triglyceride-glucose index and its combination with systemic inflammation indicators and all-cause and cardiovascular mortality in the general US population: NHANES 1999\u20132018. Lipids Health Dis. 2024;23(1):289.","journal-title":"Lipids Health Dis"},{"issue":"2","key":"3048_CR27","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1111\/jdi.14343","volume":"16","author":"A Mansoori","year":"2025","unstructured":"Mansoori A, Nosrati M, Dorchin M, Mohammadyari F, Derakhshan-Nezhad E, Ferns G, et al. A novel index for diagnosis of type 2 diabetes mellitus: Cholesterol, High density lipoprotein, and Glucose (CHG) index. J Diabetes Investig. 2025;16(2):309\u201314.","journal-title":"J Diabetes Investig"},{"issue":"1","key":"3048_CR28","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1186\/s13098-023-01214-7","volume":"15","author":"J Yoon","year":"2023","unstructured":"Yoon J, Heo SJ, Lee JH, Kwon YJ, Lee JE. Comparison of METS-IR and HOMA-IR for predicting new-onset CKD in middle-aged and older adults. Diabetol Metab Syndr. 2023;15(1):230.","journal-title":"Diabetol Metab Syndr"},{"issue":"5","key":"3048_CR29","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1530\/EJE-17-0883","volume":"178","author":"OY Bello-Chavolla","year":"2018","unstructured":"Bello-Chavolla OY, Almeda-Valdes P, Gomez-Velasco D, Viveros-Ruiz T, Cruz-Bautista I, Romo-Romo A, et al. METS-IR, a novel score to evaluate insulin sensitivity, is predictive of visceral adiposity and incident type 2 diabetes. Eur J Endocrinol. 2018;178(5):533\u201344.","journal-title":"Eur J Endocrinol"},{"issue":"12","key":"3048_CR30","doi-asserted-by":"publisher","first-page":"101602","DOI":"10.1016\/j.jhepr.2025.101602","volume":"7","author":"H Zheng","year":"2025","unstructured":"Zheng H, Wu K, Zheng H, Chen G, Lan Y, Chen S, et al. High systemic inflammation response index and increased cardiovascular risk and mortality in MASLD: A prospective cohort study. JHEP Rep. 2025;7(12):101602.","journal-title":"JHEP Rep"},{"issue":"1","key":"3048_CR31","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1186\/s12888-018-1696-9","volume":"18","author":"S Tomitaka","year":"2018","unstructured":"Tomitaka S, Kawasaki Y, Ide K, Akutagawa M, Yamada H, Ono Y, et al. Distributional patterns of item responses and total scores on the PHQ-9 in the general population: data from the National Health and Nutrition Examination Survey. BMC Psychiatry. 2018;18(1):108.","journal-title":"BMC Psychiatry"},{"issue":"10","key":"3048_CR32","doi-asserted-by":"publisher","first-page":"1052","DOI":"10.1001\/jamapsychiatry.2020.1351","volume":"77","author":"S Rajan","year":"2020","unstructured":"Rajan S, McKee M, Rangarajan S, Bangdiwala S, Rosengren A, Gupta R, et al. Association of symptoms of depression with cardiovascular disease and mortality in low-, middle-, and high-income countries. JAMA Psychiat. 2020;77(10):1052\u201363.","journal-title":"JAMA Psychiat"},{"key":"3048_CR33","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1016\/j.jad.2023.10.059","volume":"345","author":"W Shen","year":"2024","unstructured":"Shen W, Su Y, Guo T, Ding N, Chai X. The relationship between depression based on patient health questionaire-9 and cardiovascular mortality in patients with hypertension. J Affect Disord. 2024;345:78\u201384.","journal-title":"J Affect Disord"},{"key":"3048_CR34","doi-asserted-by":"publisher","first-page":"1357664","DOI":"10.3389\/fendo.2024.1357664","volume":"15","author":"S Shea","year":"2024","unstructured":"Shea S, Lionis C, Kite C, Lagojda L, Uthman OA, Dallaway A, et al. Non-alcoholic fatty liver disease and coexisting depression, anxiety and\/or stress in adults: a systematic review and meta-analysis. Front Endocrinol (Lausanne). 2024;15:1357664.","journal-title":"Front Endocrinol (Lausanne)"},{"issue":"8","key":"3048_CR35","doi-asserted-by":"publisher","first-page":"764","DOI":"10.1001\/archinternmed.2009.46","volume":"169","author":"L Jiao","year":"2009","unstructured":"Jiao L, Mitrou PN, Reedy J, Graubard BI, Hollenbeck AR, Schatzkin A, et al. A combined healthy lifestyle score and risk of pancreatic cancer in a large cohort study. Arch Intern Med. 2009;169(8):764\u201370.","journal-title":"Arch Intern Med"},{"issue":"5","key":"3048_CR36","doi-asserted-by":"publisher","first-page":"430","DOI":"10.1001\/jama.2019.9879","volume":"322","author":"I Lourida","year":"2019","unstructured":"Lourida I, Hannon E, Littlejohns TJ, Langa KM, Hypp\u00f6nen E, Kuzma E, et al. Association of lifestyle and genetic risk with incidence of dementia. JAMA. 2019;322(5):430\u20137.","journal-title":"JAMA"},{"key":"3048_CR37","unstructured":"Zipf G, Chiappa M, Porter KS, Ostchega Y, Lewis BG, Dostal J. National health and nutrition examination survey: plan and operations, 1999\u20132010. Vital Health Stat 1. 2013(56):1\u201337."},{"key":"3048_CR38","doi-asserted-by":"publisher","first-page":"e078378","DOI":"10.1136\/bmj-2023-078378","volume":"385","author":"GS Collins","year":"2024","unstructured":"Collins GS, Moons KGM, Dhiman P, Riley RD, Beam AL, Van Calster B, et al. TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ. 2024;385:e078378.","journal-title":"BMJ"},{"key":"3048_CR39","doi-asserted-by":"publisher","first-page":"e082505","DOI":"10.1136\/bmj-2024-082505","volume":"388","author":"KGM Moons","year":"2025","unstructured":"Moons KGM, Damen JAA, Kaul T, Hooft L, Andaur Navarro C, Dhiman P, et al. PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods. BMJ. 2025;388:e082505.","journal-title":"BMJ"},{"key":"3048_CR40","unstructured":"Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults. Lancet. 2024;403(10431):1027\u201350."},{"key":"3048_CR41","unstructured":"Global, Regional, and National Burden of Cardiovascular Diseases and Risk Factors in 204 Countries and Territories, 1990\u20132023. J Am Coll Cardiol. 2025;86(22):2167\u2013243."},{"issue":"1","key":"3048_CR42","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1186\/s12933-025-02581-3","volume":"24","author":"R Xie","year":"2025","unstructured":"Xie R, Seum T, Sha S, Trares K, Holleczek B, Brenner H, et al. Improving 10-year cardiovascular risk prediction in patients with type 2 diabetes with metabolomics. Cardiovasc Diabetol. 2025;24(1):18.","journal-title":"Cardiovasc Diabetol"},{"issue":"1","key":"3048_CR43","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1186\/s12944-025-02820-2","volume":"25","author":"Y Li","year":"2025","unstructured":"Li Y, Chen P, Gao B. Risk prediction of multiple cardiometabolic diseases in middle-aged and older adults using lipid metabolism biomarkers and derived composite measures based on machine learning: a prospective cohort study of CHARLS. Lipids Health Dis. 2025;25(1):22.","journal-title":"Lipids Health Dis"},{"issue":"1","key":"3048_CR44","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1186\/s12944-026-02931-4","volume":"25","author":"J Sun","year":"2026","unstructured":"Sun J, Xu D, Du G, Jia T, Han X, Yu Y, et al. Integrating frailty and cumulative lipid burden for stroke risk stratification: a machine learning-guided Athero-Frailty Score from the CHARLS cohort. Lipids Health Dis. 2026;25(1):127.","journal-title":"Lipids Health Dis."},{"issue":"10","key":"3048_CR45","doi-asserted-by":"publisher","first-page":"1191","DOI":"10.1007\/s10654-025-01285-y","volume":"40","author":"R Xie","year":"2025","unstructured":"Xie R, Sha S, Brenner H, Sch\u00f6ttker B. Circulating inflammation-related proteome improves cardiovascular risk prediction. Results from two large European cohort studies. Eur J Epidemiol. 2025;40(10):1191\u2013203.","journal-title":"Eur J Epidemiol"},{"issue":"4","key":"3048_CR46","doi-asserted-by":"publisher","first-page":"362","DOI":"10.1016\/S2468-1253(19)30383-8","volume":"5","author":"PN Newsome","year":"2020","unstructured":"Newsome PN, Sasso M, Deeks JJ, Paredes A, Boursier J, Chan WK, et al. FibroScan-AST (FAST) score for the non-invasive identification of patients with non-alcoholic steatohepatitis with significant activity and fibrosis: a prospective derivation and global validation study. Lancet Gastroenterol Hepatol. 2020;5(4):362\u201373.","journal-title":"Lancet Gastroenterol Hepatol"},{"key":"3048_CR47","doi-asserted-by":"publisher","first-page":"102971","DOI":"10.1016\/j.eclinm.2024.102971","volume":"79","author":"R Xie","year":"2025","unstructured":"Xie R, Herder C, Sha S, Peng L, Brenner H, Sch\u00f6ttker B. Novel type 2 diabetes prediction score based on traditional risk factors and circulating metabolites: model derivation and validation in two large cohort studies. EClinicalMedicine. 2025;79:102971.","journal-title":"EClinicalMedicine"}],"container-title":["Lipids in Health and Disease"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12944-026-03048-4","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12944-026-03048-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12944-026-03048-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T13:31:49Z","timestamp":1790256709000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1186\/s12944-026-03048-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9,15]]},"references-count":47,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["3048"],"URL":"https:\/\/doi.org\/10.1186\/s12944-026-03048-4","relation":{},"ISSN":["1476-511X"],"issn-type":[{"value":"1476-511X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9,15]]},"assertion":[{"value":"20 July 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 August 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 September 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The studies involving human participants received approval from the Research Ethics Review Board of the NCHS. Informed consent was obtained from all the participants. This study complied with the ethical requirements of the Declaration of Helsinki and its subsequent revisions.","order":1,"name":"Ethics","label":"Ethics approval and consent to participate","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Declarations"}}],"article-number":"202"}}