{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T05:20:16Z","timestamp":1782278416027,"version":"3.54.5"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T00:00:00Z","timestamp":1753660800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T00:00:00Z","timestamp":1753660800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"the Chenzhou Resident Health Science Popularization Platform","award":["NO.2023sfq13"],"award-info":[{"award-number":["NO.2023sfq13"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Inform Decis Mak"],"DOI":"10.1186\/s12911-025-03123-3","type":"journal-article","created":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T12:39:06Z","timestamp":1753706346000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Identification of age-specific risk factors for hyperuricemia: a machine learning-driven stratified analysis in health examination cohorts"],"prefix":"10.1186","volume":"25","author":[{"given":"ChuXia","family":"Tan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lijun","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pingting","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yinglong","family":"Duan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingxing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huiyi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingying","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Honglian","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,28]]},"reference":[{"issue":"2","key":"3123_CR1","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1038\/s41584-019-0334-3","volume":"16","author":"LAB Joosten","year":"2020","unstructured":"Joosten LAB, Cri\u015fan TO, Bjornstad P, et al. Asymptomatic hyperuricaemia: a silent activator of the innate immune system. Nat Rev Rheumatol. 2020;16(2):75\u201386.","journal-title":"Nat Rev Rheumatol"},{"issue":"5","key":"3123_CR2","doi-asserted-by":"publisher","first-page":"545","DOI":"10.5603\/CJ.2018.0116","volume":"25","author":"C Borghi","year":"2018","unstructured":"Borghi C, Tykarski A, Widecka K, et al. Expert consensus for the diagnosis and treatment of patient with hyperuricemia and high cardiovascular risk. Cardiol J. 2018;25(5):545\u201363.","journal-title":"Cardiol J"},{"key":"3123_CR3","doi-asserted-by":"publisher","first-page":"1759720X2110166","DOI":"10.1177\/1759720X211016661","volume":"25","author":"G Sharma","year":"2021","unstructured":"Sharma G, Dubey A, Nolkha N, et al. Hyperuricemia, urate-lowering therapy, and kidney outcomes: a systematic review and meta-analysis. Ther Adv Musculoskelet Dis. 2021;25:13:1759720X211016661.","journal-title":"Ther Adv Musculoskelet Dis"},{"issue":"2","key":"3123_CR4","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1007\/s11154-023-09787-4","volume":"24","author":"W Yu","year":"2023","unstructured":"Yu W, Xie D, Yamamoto T, et al. Mechanistic insights of soluble uric acid-induced insulin resistance: insulin signaling and beyond. Rev Endocr Metab Disord. 2023;24(2):327\u201343.","journal-title":"Rev Endocr Metab Disord"},{"issue":"6","key":"3123_CR5","doi-asserted-by":"publisher","first-page":"991","DOI":"10.1002\/art.40807","volume":"71","author":"M Chen-Xu","year":"2019","unstructured":"Chen-Xu M, Yokose C, Rai SK, et al. Contemporary prevalence of gout and hyperuricemia in the united States and decadal trends: the National health and nutrition examination survey, 2007\u20132016. Arthritis Rheumatol. 2019;71(6):991\u20139.","journal-title":"Arthritis Rheumatol"},{"issue":"1","key":"3123_CR6","doi-asserted-by":"publisher","first-page":"1874652","DOI":"10.1080\/16549716.2021.1874652","volume":"14","author":"Y Li","year":"2021","unstructured":"Li Y, Shen Z, Zhu B, et al. Demographic, regional and Temporal trends of hyperuricemia epidemics in Mainland China from 2000 to 2019: a systematic review and meta-analysis. Glob Health Action. 2021;14(1):1874652.","journal-title":"Glob Health Action"},{"key":"3123_CR7","doi-asserted-by":"crossref","unstructured":"Fan J, Bian C, Wang J et al. Correlation between metabolic syndrome and hyperuricemia: a systematic review and meta-analysis. Am J Hypertens. Published online March 11, 2025.","DOI":"10.1093\/ajh\/hpaf031"},{"issue":"4","key":"3123_CR8","doi-asserted-by":"publisher","first-page":"e13937","DOI":"10.1111\/eci.13937","volume":"53","author":"YJ Jeong","year":"2023","unstructured":"Jeong YJ, Park S, Yon DK, et al. Global burden of gout in 1990\u20132019: A systematic analysis of the global burden of disease study 2019. Eur J Clin Invest. 2023;53(4):e13937.","journal-title":"Eur J Clin Invest"},{"issue":"2","key":"3123_CR9","doi-asserted-by":"publisher","first-page":"867","DOI":"10.1038\/s41440-024-02031-9","volume":"48","author":"M .Kuwabara","year":"2025","unstructured":".Kuwabara M, Ae R, Kosami K, et al. Current updates and future perspectives in uric acid research, 2024. Hypertens Res. 2025;48(2):867\u201373.","journal-title":"Hypertens Res"},{"key":"3123_CR10","doi-asserted-by":"publisher","first-page":"1378645","DOI":"10.3389\/fendo.2024.1378645","volume":"15","author":"Y Zhong","year":"2024","unstructured":"Zhong Y, Yang C, Zhang B, et al. Causal impact of human blood metabolites and metabolic pathways on serum uric acid and gout: a Mendelian randomization study. Front Endocrinol. 2024;15:1378645.","journal-title":"Front Endocrinol"},{"issue":"17","key":"3123_CR11","doi-asserted-by":"publisher","first-page":"7853","DOI":"10.1039\/D3FO02004E","volume":"14","author":"S Cheng","year":"2023","unstructured":"Cheng S, Shan L, You Z, et al. Dietary patterns, uric acid levels, and hyperuricemia: a systematic review and meta-analysis. Food Funct. 2023;14(17):7853\u201368.","journal-title":"Food Funct"},{"issue":"1","key":"3123_CR12","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1186\/s12902-022-00937-4","volume":"22","author":"Y Al Shanableh","year":"2022","unstructured":"Al Shanableh Y, Hussein YY, Saidwali AH, et al. Prevalence of asymptomatic hyperuricemia and its association with prediabetes, dyslipidemia and subclinical inflammation markers among young healthy adults in Qatar. BMC Endocr Disord. 2022;22(1):21.","journal-title":"BMC Endocr Disord"},{"issue":"51","key":"3123_CR13","doi-asserted-by":"publisher","first-page":"e32327","DOI":"10.1097\/MD.0000000000032327","volume":"101","author":"L Shen","year":"2022","unstructured":"Shen L, Dong Y, Li M, et al. The relationship between leukocyte level and hypertension in elderly patients with hyperuricemia. Med (Baltim). 2022;101(51):e32327.","journal-title":"Med (Baltim)"},{"issue":"6","key":"3123_CR14","doi-asserted-by":"publisher","first-page":"1036","DOI":"10.1161\/HYPERTENSIONAHA.116.08998","volume":"69","author":"M Kuwabara","year":"2017","unstructured":"Kuwabara M, Niwa K, Hisatome I, et al. Asymptomatic hyperuricemia without comorbidities predicts cardiometabolic diseases: Five-Year Japanese cohort study. Hypertension. 2017;69(6):1036\u201344.","journal-title":"Hypertension"},{"key":"3123_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.bbi.2023.11.019","volume":"116","author":"M Cen","year":"2024","unstructured":"Cen M, Song L, Fu X, et al. Associations between metabolic syndrome and anxiety, and the mediating role of inflammation: findings from the UK biobank. Brain Behav Immun. 2024;116:1\u20139. https:\/\/doi.org\/10.1016\/j.bbi.2023.11.019.","journal-title":"Brain Behav Immun"},{"issue":"5","key":"3123_CR16","doi-asserted-by":"publisher","first-page":"e70254","DOI":"10.1111\/1756-185X.70254","volume":"28","author":"X Wen","year":"2025","unstructured":"Wen X, Zhang Y, Gu J, et al. Age-and Gender-Specific dynamics of hyperuricemia: A longitudinal community study on metabolic trajectories and comorbidity stratification. Int J Rheum Dis. 2025;28(5):e70254.","journal-title":"Int J Rheum Dis"},{"issue":"9","key":"3123_CR17","doi-asserted-by":"publisher","first-page":"2529","DOI":"10.1007\/s10067-018-4130-2","volume":"37","author":"Y Kim","year":"2018","unstructured":"Kim Y, Kang J, Kim GT. Prevalence of hyperuricemia and its associated factors in the general Korean population: an analysis of a population-based nationally representative sample. Clin Rheumatol. 2018;37(9):2529\u201338.","journal-title":"Clin Rheumatol"},{"key":"3123_CR18","doi-asserted-by":"publisher","first-page":"e074820","DOI":"10.1136\/bmj-2023-074820","volume":"384","author":"RD Riley","year":"2024","unstructured":"Riley RD, Archer L, Snell KIE, et al. Evaluation of clinical prediction models (part 2): how to undertake an external validation study. BMJ. 2024;384:e074820.","journal-title":"BMJ"},{"issue":"1","key":"3123_CR19","doi-asserted-by":"publisher","first-page":"7567","DOI":"10.1038\/s41598-021-87171-5","volume":"11","author":"DJ Park","year":"2021","unstructured":"Park DJ, Park MW, Lee H, et al. Development of machine learning model for diagnostic disease prediction based on laboratory tests. Sci Rep. 2021;11(1):7567.","journal-title":"Sci Rep"},{"key":"3123_CR20","doi-asserted-by":"publisher","first-page":"1357404","DOI":"10.3389\/fphys.2024.1357404","volume":"15","author":"Y Zhang","year":"2024","unstructured":"Zhang Y, Zhang L, Lv H, et al. Ensemble machine learning prediction of hyperuricemia based on a prospective health checkup population. Front Physiol. 2024;15:1357404.","journal-title":"Front Physiol"},{"issue":"34","key":"3123_CR21","doi-asserted-by":"publisher","first-page":"e2404047","DOI":"10.1002\/advs.202404047","volume":"11","author":"L Zeng","year":"2024","unstructured":"Zeng L, Ma P, Li Z, et al. Multimodal machine Learning-Based marker enables early detection and prognosis prediction for hyperuricemia. Adv Sci (Weinh). 2024;11(34):e2404047.","journal-title":"Adv Sci (Weinh)"},{"issue":"6","key":"3123_CR22","doi-asserted-by":"publisher","first-page":"851","DOI":"10.1053\/j.ajkd.2017.12.009","volume":"71","author":"RJ Johnson","year":"2018","unstructured":"Johnson RJ, Bakris GL, Borghi C, et al. Hyperuricemia, acute and chronic kidney disease, hypertension, and cardiovascular disease: report of a scientific workshop organized by the National kidney foundation. Am J Kidney Dis. 2018;71(6):851\u201365.","journal-title":"Am J Kidney Dis"},{"issue":"13","key":"3123_CR23","doi-asserted-by":"publisher","first-page":"4124","DOI":"10.1017\/S136898002000289X","volume":"24","author":"R Xu","year":"2021","unstructured":"Xu R, Shen P, Wu C, et al. BMI, high-sensitivity C-reactive protein and the conversion from metabolically healthy to unhealthy phenotype in Chinese adults: a cohort study. Public Health Nutr. 2021;24(13):4124\u201331.","journal-title":"Public Health Nutr"},{"issue":"8","key":"3123_CR24","doi-asserted-by":"publisher","first-page":"1381","DOI":"10.1249\/01.MSS.0000078924.61453","volume":"35","author":"AL Marshall","year":"2003","unstructured":"Marshall AL, Sj\u00f6str\u00f6m M, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381\u201395. https:\/\/doi.org\/10.1249\/01.MSS.0000078924.61453.","journal-title":"Med Sci Sports Exerc"},{"issue":"5","key":"3123_CR25","first-page":"345","volume":"36","author":"W Zhang","year":"2020","unstructured":"Zhang W, Li M, Wang Q. Epidemiological survey of hyperuricemia in the healthy population undergoing physical examination in North China. Chin J Endocrinol Metabolism. 2020;36(5):345\u201350.","journal-title":"Chin J Endocrinol Metabolism"},{"issue":"3","key":"3123_CR26","doi-asserted-by":"publisher","first-page":"210","DOI":"10.3969\/j.issn.0253-9624.2021.03.007","volume":"44","author":"F Chen","year":"2021","unstructured":"Chen F, Liu Y, Zhou J. Prevalence and analysis of risk factors for hyperuricemia in adults in Shanghai. Shanghai Med. 2021;44(3):210\u20135. https:\/\/doi.org\/10.3969\/j.issn.0253-9624.2021.03.007.","journal-title":"Shanghai Med"},{"key":"3123_CR27","doi-asserted-by":"publisher","first-page":"791983","DOI":"10.3389\/fimmu.2021.791983","volume":"12","author":"M Zhang","year":"2022","unstructured":"Zhang M, Zhu X, Wu J, et al. Prevalence of hyperuricemia among Chinese adults: findings from two nationally representative Cross-Sectional surveys in 2015-16 and 2018-19. Front Immunol. 2022;12:791983.","journal-title":"Front Immunol"},{"issue":"7","key":"3123_CR28","doi-asserted-by":"publisher","first-page":"380","DOI":"10.1038\/s41584-020-0441-1","volume":"16","author":"M Dehlin","year":"2020","unstructured":"Dehlin M, Jacobsson L, Roddy E. Global epidemiology of gout: prevalence, incidence, treatment patterns and risk factors. Nat Rev Rheumatol. 2020;16(7):380\u201390.","journal-title":"Nat Rev Rheumatol"},{"issue":"8","key":"3123_CR29","doi-asserted-by":"publisher","first-page":"678","DOI":"10.3760\/cma.j.issn.0253-9624.2013.08.007","volume":"47","author":"H Li","year":"2013","unstructured":"Li H, Zhang M, Wang L. Ten-year changing trend of hyperuricemia in Chinese young people. Chin J Prev Med. 2013;47(8):678\u201382. https:\/\/doi.org\/10.3760\/cma.j.issn.0253-9624.2013.08.007.","journal-title":"Chin J Prev Med"},{"issue":"1","key":"3123_CR30","doi-asserted-by":"publisher","first-page":"1074","DOI":"10.1186\/s12889-024-18513-x","volume":"24","author":"Y Zhang","year":"2024","unstructured":"Zhang Y, Di H, Wu J, et al. Assessment of the correlation between KAP scores regarding sugar-sweetened beverage consumption and hyperuricemia amongst Chinese young adults. BMC Public Health. 2024;24(1):1074.","journal-title":"BMC Public Health"},{"issue":"4","key":"3123_CR31","doi-asserted-by":"publisher","first-page":"289","DOI":"10.3760\/cma.j.cn311282-20200210-00098","volume":"36","author":"W Zhang","year":"2020","unstructured":"Zhang W, Li M, Wang Q. Study on the association between hyperuricemia and metabolic syndrome in young people. Chin J Endocrinol Metabolism. 2020;36(4):289\u201394. https:\/\/doi.org\/10.3760\/cma.j.cn311282-20200210-00098.","journal-title":"Chin J Endocrinol Metabolism"},{"key":"3123_CR32","doi-asserted-by":"publisher","first-page":"112204","DOI":"10.1016\/j.diabres.2025.112204","volume":"224","author":"T Yang","year":"2025","unstructured":"Yang T, Luo L, Luo X, et al. Metabolic crosstalk and therapeutic interplay between diabetes and hyperuricemia. Diabetes Res Clin Pract. 2025;224:112204.","journal-title":"Diabetes Res Clin Pract"},{"issue":"5","key":"3123_CR33","doi-asserted-by":"publisher","first-page":"519","DOI":"10.1080\/00325481.2023.2214058","volume":"135","author":"G Aktas","year":"2023","unstructured":"Aktas G, Yilmaz S, Kantarci DB, et al. Is serum uric acid-to-HDL cholesterol ratio elevation associated with diabetic kidney injury? Postgrad Med. 2023;135(5):519\u201323.","journal-title":"Postgrad Med"},{"issue":"2","key":"3123_CR34","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1016\/j.jdiacomp.2018.10.018","volume":"33","author":"KA Young","year":"2019","unstructured":"Young KA, Maturu A, Lorenzo C, et al. The triglyceride to high-density lipoprotein cholesterol (TG\/HDL-C) ratio as a predictor of insulin resistance, \u03b2-cell function, and diabetes in Hispanics and African Americans. J Diabetes Complications. 2019;33(2):118\u201322.","journal-title":"J Diabetes Complications"},{"key":"3123_CR35","doi-asserted-by":"publisher","first-page":"1403858","DOI":"10.3389\/fendo.2024.1403858","volume":"15","author":"R Gou","year":"2024","unstructured":"Gou R, Dou D, Tian M, et al. Association between triglyceride glucose index and hyperuricemia: a new evidence from China and the united States. Front Endocrinol (Lausanne). 2024;15:1403858.","journal-title":"Front Endocrinol (Lausanne)"},{"issue":"1","key":"3123_CR36","doi-asserted-by":"publisher","first-page":"1981","DOI":"10.1186\/s12889-022-14357-5","volume":"22","author":"J Wang","year":"2022","unstructured":"Wang J, Chen S, Zhao J, et al. Association between nutrient patterns and hyperuricemia: mediation analysis involving obesity indicators in the NHANES. BMC Public Health. 2022;22(1):1981.","journal-title":"BMC Public Health"},{"issue":"4","key":"3123_CR37","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1002\/acr.24150","volume":"73","author":"Y Gao","year":"2021","unstructured":"Gao Y, Cui LF, Sun YY, et al. Adherence to the dietary approaches to stop hypertension diet and hyperuricemia: A Cross-Sectional study. Arthritis Care Res (Hoboken). 2021;73(4):603\u201311.","journal-title":"Arthritis Care Res (Hoboken)"},{"issue":"1","key":"3123_CR38","doi-asserted-by":"publisher","first-page":"1418","DOI":"10.1186\/s12889-022-13794-6","volume":"22","author":"B Zhu","year":"2022","unstructured":"Zhu B, Li Y, Shi Y, et al. Long-term drinking behavior change patterns and its association with hyperuricemia in Chinese adults: evidence from China health and nutrition survey. BMC Public Health. 2022;22(1):1418.","journal-title":"BMC Public Health"},{"key":"3123_CR39","unstructured":"Grundy SM, Stone NJ, Bailey AL, et al. 2018 AHA\/ACC\/AACVPR\/AAPA\/ABC\/ACPM\/ADA\/AGS\/APhA\/ASPC\/NLA\/PCNA Guideline on the management of blood cholesterol: a report of the american college of cardiology\/american heart association task force on clinical practice guidelines [published correction appears in Circulation. 2019;139(25):e1082-e1143]."},{"issue":"4","key":"3123_CR40","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1007\/s40620-014-0158-9","volume":"28","author":"YC Chou","year":"2015","unstructured":"Chou YC, Kuan JC, Yang T, et al. Elevated uric acid level as a significant predictor of chronic kidney disease: a cohort study with repeated measurements. J Nephrol. 2015;28(4):457\u201362.","journal-title":"J Nephrol"},{"issue":"1","key":"3123_CR41","doi-asserted-by":"publisher","first-page":"e002170","DOI":"10.1136\/rmdopen-2021-002170","volume":"8","author":"M Wieczorek","year":"2022","unstructured":"Wieczorek M, Gwinnutt JM, Ransay-Colle M, et al. Smoking, alcohol consumption and disease-specific outcomes in rheumatic and musculoskeletal diseases (RMDs): systematic reviews informing the 2021 EULAR recommendations for lifestyle improvements in people with RMDs. RMD Open. 2022;8(1):e002170.","journal-title":"RMD Open"},{"issue":"6","key":"3123_CR42","doi-asserted-by":"publisher","first-page":"1281","DOI":"10.3904\/kjim.2020.340","volume":"36","author":"Y Waheed","year":"2021","unstructured":"Waheed Y, Yang F, Sun D. Role of asymptomatic hyperuricemia in the progression of chronic kidney disease and cardiovascular disease. Korean J Intern Med. 2021;36(6):1281\u201393.","journal-title":"Korean J Intern Med"},{"issue":"1","key":"3123_CR43","doi-asserted-by":"publisher","first-page":"13424","DOI":"10.1038\/s41598-019-49462-w","volume":"9","author":"Q Zeng","year":"2019","unstructured":"Zeng Q, Li D, He Y, et al. Discrepant gut microbiota markers for the classification of obesity-related metabolic abnormalities. Sci Rep. 2019;9(1):13424.","journal-title":"Sci Rep"},{"issue":"23","key":"3123_CR44","first-page":"6521","volume":"49","author":"Y Lan","year":"2024","unstructured":"Lan Y, Luo FK, Yu Y, Wang XY, Wang PQ, Xiong XJ. Zhongguo Zhong Yao Za Zhi. 2024;49(23):6521\u201332.","journal-title":"Zhongguo Zhong Yao Za Zhi"},{"issue":"11","key":"3123_CR45","doi-asserted-by":"publisher","first-page":"3547","DOI":"10.1021\/acssensors.0c01697","volume":"5","author":"O Simoska","year":"2020","unstructured":"Simoska O, Duay J, Stevenson KJ. Electrochemical detection of multianalyte biomarkers in wound healing efficacy. ACS Sens. 2020;5(11):3547\u201357.","journal-title":"ACS Sens"}],"container-title":["BMC Medical Informatics and Decision Making"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12911-025-03123-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12911-025-03123-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12911-025-03123-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T04:15:33Z","timestamp":1757304933000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedinformdecismak.biomedcentral.com\/articles\/10.1186\/s12911-025-03123-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,28]]},"references-count":45,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["3123"],"URL":"https:\/\/doi.org\/10.1186\/s12911-025-03123-3","relation":{},"ISSN":["1472-6947"],"issn-type":[{"value":"1472-6947","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,28]]},"assertion":[{"value":"22 May 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 July 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 July 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This study was performed in accordance with the Declaration of Helsinki and approved by the Ethics Committee of the Third Xiangya Hospital of Central South University(Approval number: quick-24556). Written informed consentwas obtained from all participants involved in the study.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"280"}}