{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T12:41:59Z","timestamp":1789994519150,"version":"4.0.1"},"reference-count":33,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T00:00:00Z","timestamp":1750636800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100020758","name":"Fujian Association for Science and Technology","doi-asserted-by":"publisher","award":["2020Y9108"],"award-info":[{"award-number":["2020Y9108"]}],"id":[{"id":"10.13039\/100020758","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013795","name":"Fujian Medical University","doi-asserted-by":"publisher","award":["2023QH2004"],"award-info":[{"award-number":["2023QH2004"]}],"id":[{"id":"10.13039\/501100013795","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013795","name":"Fujian Medical University","doi-asserted-by":"publisher","award":["2022QH1086"],"award-info":[{"award-number":["2022QH1086"]}],"id":[{"id":"10.13039\/501100013795","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Experimental Gerontology"],"published-print":{"date-parts":[[2025,9]]},"DOI":"10.1016\/j.exger.2025.112819","type":"journal-article","created":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T02:43:58Z","timestamp":1750733038000},"page":"112819","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":7,"special_numbering":"C","title":["Construction of a novel online calculator for prediction of osteoporosis risk in Chinese type 2 diabetes patients"],"prefix":"10.1016","volume":"208","author":[{"given":"Xing","family":"Yu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenchi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaojun","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yicheng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huibin","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunyun","family":"Su","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liangdi","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.exger.2025.112819_bb0005","doi-asserted-by":"crossref","first-page":"1437","DOI":"10.1001\/jamadermatol.2021.4143","article-title":"Association of sun-Protective Behaviors with Bone Mineral Density and Osteoporotic Bone Fractures in US adults","volume":"1;157(12)","author":"Afarideh","year":"2021","journal-title":"JAMA Dermatol."},{"key":"10.1016\/j.exger.2025.112819_bb0010","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1007\/978-981-13-3681-2_16","article-title":"Osteoporosis and the ageing skeleton","volume":"91","author":"Aspray","year":"2019","journal-title":"Subcell. Biochem."},{"key":"10.1016\/j.exger.2025.112819_bb0015","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.mce.2014.07.005","article-title":"Aging and age-related diseases-from endocrine therapy to target therapy","volume":"394","author":"Bao","year":"2014","journal-title":"Mol. Cell. Endocrinol."},{"issue":"1","key":"10.1016\/j.exger.2025.112819_bb0020","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1186\/s12882-016-0394-4","article-title":"Neutrophil-lymphocyte ratio is associated with arterial stiffness in patients with peritoneal dialysis","volume":"17","author":"Cai","year":"2016","journal-title":"BMC Nephrol."},{"key":"10.1016\/j.exger.2025.112819_bb0025","article-title":"Osteoporosis","volume":"26;393(10169):364-376","author":"Compston","year":"2019","journal-title":"Lancet"},{"issue":"2","key":"10.1016\/j.exger.2025.112819_bb0030","doi-asserted-by":"crossref","first-page":"122","DOI":"10.3390\/jox12020011","article-title":"Vitamin B12 deficiency and clinical neuropathy with metformin use in type 2 diabetes","volume":"12","author":"Farooq","year":"2022","journal-title":"J Xenobiot."},{"issue":"4","key":"10.1016\/j.exger.2025.112819_bb0035","first-page":"1127","article-title":"Bone turn over markers in postmenopausal osteoporosis and their correlation with bone mineral density and menopause duration","volume":"60","author":"Gurban","year":"2019","journal-title":"Romanian J. Morphol. Embryol."},{"issue":"5","key":"10.1016\/j.exger.2025.112819_bb0040","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1038\/nrendo.2011.233","article-title":"Bone, sweet bone--osteoporotic fractures in diabetes mellitus","volume":"8","author":"Hamann","year":"2012","journal-title":"Nat. Rev. Endocrinol."},{"issue":"13","key":"10.1016\/j.exger.2025.112819_bb0045","article-title":"Increased glycemic variability evaluated by continuous glucose monitoring is associated with osteoporosis in type 2 diabetic patients","volume":"6","author":"Huang","year":"2022","journal-title":"Front Endocrinol (Lausanne)."},{"issue":"1","key":"10.1016\/j.exger.2025.112819_bb0050","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-021-99549-6","article-title":"Prediction of osteoporosis from simple hip radiography using deep learning algorithm","volume":"11","author":"Jang","year":"2021","journal-title":"Sci. Rep."},{"key":"10.1016\/j.exger.2025.112819_bb0055","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1186\/s12874-019-0681-4","article-title":"Machine learning in medicine: a practical introduction","volume":"19","author":"Jenni","year":"2019","journal-title":"BMC Med. Res. Methodol."},{"issue":"6","key":"10.1016\/j.exger.2025.112819_bb0060","doi-asserted-by":"crossref","DOI":"10.1002\/dmrr.3158","article-title":"Standards of medical care for type 2 diabetes in China 2019","volume":"35","author":"Jia","year":"2019","journal-title":"Diabetes Metab. Res. Rev."},{"issue":"6","key":"10.1016\/j.exger.2025.112819_bb0065","doi-asserted-by":"crossref","first-page":"1144","DOI":"10.1111\/jgs.15359","article-title":"Heart rate and bone mineral density in older women with hypertension: results from the Korea National Health and nutritional examination survey","volume":"66","author":"Jung","year":"2018","journal-title":"J. Am. Geriatr. Soc."},{"issue":"3","key":"10.1016\/j.exger.2025.112819_bb0070","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1046\/j.1532-5415.2002.50110.x","article-title":"Rapid resting heart rate: a simple and powerful predictor of osteoporotic fractures and mortality in older women","volume":"50","author":"Kado","year":"2002","journal-title":"J. Am. Geriatr. Soc."},{"issue":"4","key":"10.1016\/j.exger.2025.112819_bb0075","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1016\/j.jocd.2019.07.010","article-title":"Repeating measurement of bone mineral density when monitoring with dual-energy X-ray absorptiometry: 2019 ISCD official position","volume":"22","author":"Kendler","year":"2019","journal-title":"J. Clin. Densitom."},{"key":"10.1016\/j.exger.2025.112819_bb0080","doi-asserted-by":"crossref","DOI":"10.1136\/bmj-2022-073435","article-title":"Denosumab and incidence of type 2 diabetes among adults with osteoporosis: population based cohort study","volume":"381","author":"Lyu","year":"2023","journal-title":"BMJ"},{"issue":"4","key":"10.1016\/j.exger.2025.112819_bb0085","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/j.rbr.2016.07.009","article-title":"Association between body mass index and osteoporosis in women from northwestern Rio Grande do Sul","volume":"57","author":"Mazocco","year":"2017","journal-title":"Rev Bras Reumatol Engl Ed"},{"issue":"6","key":"10.1016\/j.exger.2025.112819_bb0090","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1038\/s41574-020-0339-7","article-title":"A broader strategy for osteoporosis interventions","volume":"16","author":"Reid","year":"2020","journal-title":"Nat. Rev. Endocrinol."},{"key":"10.1016\/j.exger.2025.112819_bb0095","article-title":"Senile osteoporosis: the involvement of differentiation and senescence of bone marrow stromal cells","volume":"5;21(1):349","author":"Qadir","year":"2020","journal-title":"Int. J. Mol. Sci."},{"issue":"5","key":"10.1016\/j.exger.2025.112819_bb0100","doi-asserted-by":"crossref","first-page":"863","DOI":"10.1007\/s00125-006-0154-2","article-title":"Bone mineral density and its determinants in diabetes: the Fremantle diabetes study","volume":"49","author":"Rakic","year":"2006","journal-title":"Diabetologia"},{"issue":"435\u201348","key":"10.1016\/j.exger.2025.112819_bb0105","article-title":"Osteoporosis and type 2 diabetes mellitus: what do we know, and what we can do?","volume":"6","author":"ABDULAMEER","year":"2012","journal-title":"Patient Prefer. Adherence"},{"issue":"14","key":"10.1016\/j.exger.2025.112819_bb0110","doi-asserted-by":"crossref","first-page":"1769","DOI":"10.1016\/j.bmcl.2019.05.014","article-title":"Synthesis and structure activity relationship of 4-alkoxy-thieno[2,3-b] pyridine derivatives as potent alkaline phosphatase enhancers for osteoporosis treatment","volume":"29","author":"Saito","year":"2019","journal-title":"Bioorg. Med. Chem. Lett."},{"key":"10.1016\/j.exger.2025.112819_bb0115","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.bone.2018.01.019","article-title":"The effects of estrogen deficiency on cortical bone microporosity and mineralization","volume":"110","author":"Sharma","year":"2018","journal-title":"Bone"},{"issue":"1","key":"10.1016\/j.exger.2025.112819_bb0120","doi-asserted-by":"crossref","DOI":"10.1007\/s11657-020-00802-8","article-title":"Application of machine learning approaches for osteoporosis risk prediction in postmenopausal women","volume":"15","author":"Shim","year":"2020","journal-title":"Arch. Osteoporos."},{"issue":"11","key":"10.1016\/j.exger.2025.112819_bb0125","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1007\/s11906-022-01212-6","article-title":"Machine learning for hypertension prediction: a systematic review","volume":"24","author":"Silva","year":"2022","journal-title":"Curr. Hypertens. Rep."},{"key":"10.1016\/j.exger.2025.112819_bb0130","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2021.104324","article-title":"Evaluation of machine learning algorithms for health and wellness applications: a tutorial","volume":"132","author":"Tohka","year":"2021","journal-title":"Comput. Biol. Med."},{"issue":"1","key":"10.1016\/j.exger.2025.112819_bb0135","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1186\/s12911-019-1004-8","article-title":"Comparing different supervised machine learning algorithms for disease prediction","volume":"19","author":"Uddin","year":"2019","journal-title":"BMC Med. Inform. Decis. Mak."},{"key":"10.1016\/j.exger.2025.112819_bb0140","doi-asserted-by":"crossref","DOI":"10.3389\/fendo.2021.531904","article-title":"Correlation of osteoporosis in patients with newly diagnosed type 2 diabetes: a retrospective study in Chinese population","volume":"12","author":"Wen","year":"2021","journal-title":"Front Endocrinol (Lausanne)"},{"issue":"1","key":"10.1016\/j.exger.2025.112819_bb0145","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1007\/s12020-021-02724-y","article-title":"Comparison of methods to improve fracture risk assessment in Chinese diabetic postmenopausal women: a case-control study","volume":"73","author":"Wen","year":"2021","journal-title":"Endocrine"},{"key":"10.1016\/j.exger.2025.112819_bb0150","doi-asserted-by":"crossref","unstructured":"Wu CC, Hsu WD, Islam MM, et al. An artificial intelligence approach to early predict non-ST-elevation myocardial infarction patients with chest pain. Comput. Methods Prog. Biomed. 173:109\u2013117.doi: https:\/\/doi.org\/10.1016\/j.cmpb.2019.01.013.","DOI":"10.1016\/j.cmpb.2019.01.013"},{"key":"10.1016\/j.exger.2025.112819_bb0155","doi-asserted-by":"crossref","unstructured":"Wu CC, Yeh WC, Hsu WD, et al. Prediction of fatty liver disease using machine learning algorithms. Comput. Methods Prog. Biomed. 170:23\u201329.doi: https:\/\/doi.org\/10.1016\/j.cmpb.2018.12.032.","DOI":"10.1016\/j.cmpb.2018.12.032"},{"issue":"10","key":"10.1016\/j.exger.2025.112819_bb0160","doi-asserted-by":"crossref","first-page":"1789","DOI":"10.1002\/jbmr.3757","article-title":"The prevalence of osteoporosis in China,a nationwide, multicenter DXA survey","volume":"34","author":"Zeng","year":"2019","journal-title":"Bone Min Res"},{"issue":"1","key":"10.1016\/j.exger.2025.112819_bb0165","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1007\/s11657-023-01245-7","article-title":"Prevalence and risk factors of osteoporosis and osteopenia among residents in Hubei province, China","volume":"18","author":"Zhang","year":"2023","journal-title":"Arch. Osteoporos."}],"container-title":["Experimental Gerontology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0531556525001482?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0531556525001482?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T08:25:50Z","timestamp":1777019150000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0531556525001482"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":33,"alternative-id":["S0531556525001482"],"URL":"https:\/\/doi.org\/10.1016\/j.exger.2025.112819","relation":{},"ISSN":["0531-5565"],"issn-type":[{"value":"0531-5565","type":"print"}],"subject":[],"published":{"date-parts":[[2025,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Construction of a novel online calculator for prediction of osteoporosis risk in Chinese type 2 diabetes patients","name":"articletitle","label":"Article Title"},{"value":"Experimental Gerontology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.exger.2025.112819","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"112819"}}