{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,3]],"date-time":"2026-01-03T06:44:16Z","timestamp":1767422656858,"version":"3.37.3"},"reference-count":20,"publisher":"Korean Society for Bone and Mineral Research","issue":"2","license":[{"start":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T00:00:00Z","timestamp":1685491200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["e-jbm.org"],"crossmark-restriction":true},"short-container-title":["J Bone Metab"],"published-print":{"date-parts":[[2023,5,31]]},"abstract":"<jats:p>Background: Age and weight are not only strong predictive parameters for osteoporosis diagnosis but can also be easily acquired from patients. This study aimed to develop and validate a new diagnostic screening model for postmenopausal osteoporosis that uses only 2 parameters, viz., age and weight. The discriminative ability of the model was analyzed and compared with that of the osteoporosis self-assessment tool for Asians (OSTA) index.Methods: The age\u2013weight diagnostic screening model was developed using a retrospective chart review of postmenopausal women aged \u226550 years who underwent dual energy X-ray absorptiometry at a tertiary hospital from November 2017 to April 2022. Logistic regression analysis was used to derive a diagnostic screening model for osteoporosis.Results: A total of 533 postmenopausal women were included in the study. According to the highest Youden index value, a probability cut-off value of 0.298 was used in the diagnosis screening model at any site, which yielded a sensitivity of 84.3% and a specificity of 53.8%. For increased sensitivity as a screening tool, a cut-off value of 0.254 was proposed to obtain a sensitivity of 90.2% and a specificity of 42.2%. The area under receiver operating characteristic curves from all screening models were significantly higher than those from the OSTA index model (&lt;i&gt;p&lt;\/i&gt;&lt;0.05).Conclusions: This study showed the feasibility of a postmenopausal osteoporosis diagnostic screening model that uses 2 strong predictors for osteoporosis diagnosis: age and weight. This age\u2013weight diagnostic model is a simple, effective option in postmenopausal osteoporosis screening.<\/jats:p>","DOI":"10.11005\/jbm.2023.30.2.179","type":"journal-article","created":{"date-parts":[[2023,7,6]],"date-time":"2023-07-06T23:59:53Z","timestamp":1688687993000},"page":"179-188","update-policy":"https:\/\/doi.org\/10.11005\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Development and Validation of a New Clinical Diagnostic Screening Model for Osteoporosis in Postmenopausal Women"],"prefix":"10.11005","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7110-4208","authenticated-orcid":true,"given":"Jirapong","family":"Leeyaphan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5977-2767","authenticated-orcid":true,"given":"Karn","family":"Rojjananukulpong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3996-3184","authenticated-orcid":true,"given":"Piyapong","family":"Intarasompun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0882-3381","authenticated-orcid":true,"given":"Yuthasak","family":"Peerakul","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"4758","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1177\/1759720x221083541"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/s0140-6736(16)32381-9"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11914-015-0282-z"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph15071445"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s001980170070"},{"key":"ref6","first-page":"S49","volume-title":"Using quantitative ultrasound and OSTA index to increase the efficacy and decrease the cost for diagnosis of osteoporosis","author":"Soontrapa","year":"2009"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s00774-014-0587-5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocd.2007.06.003"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1186\/s12938-018-0436-1"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11657-020-00788-3"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.11005\/jbm.2022.29.2.141"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.35755\/jmedassocthai.2021.03.11848"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.m441"},{"key":"ref14","first-page":"1286","volume-title":"Validation of the OSTA index for discriminating between high and low probability of femoral neck and lumbar spine osteoporosis among Thai postmenopausal women","author":"Geater","year":"2004"},{"key":"ref15","first-page":"420","volume-title":"Comparison of osteoporosis self assessment tool for Asian (OSTA) and standard assessment in Menopause Clinic, Chiang Mai","author":"Chaovisitsaree","year":"2007"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1097\/00042192-200101000-00011"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocd.2006.04.116"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1001\/jama.292.23.2890"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s00198-015-3025-1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph182413368"}],"container-title":["Journal of Bone Metabolism"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/e-jbm.org\/upload\/pdf\/jbm-2023-30-2-179.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/e-jbm.org\/journal\/view.php?doi=10.11005\/jbm.2023.30.2.179","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/e-jbm.org\/upload\/pdf\/jbm-2023-30-2-179.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,13]],"date-time":"2023-07-13T05:06:28Z","timestamp":1689224788000},"score":1,"resource":{"primary":{"URL":"http:\/\/e-jbm.org\/journal\/view.php?doi=10.11005\/jbm.2023.30.2.179"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,31]]},"references-count":20,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2023,5]]}},"URL":"https:\/\/doi.org\/10.11005\/jbm.2023.30.2.179","relation":{},"ISSN":["2287-6375","2287-7029"],"issn-type":[{"type":"print","value":"2287-6375"},{"type":"electronic","value":"2287-7029"}],"subject":[],"published":{"date-parts":[[2023,5,31]]},"assertion":[{"value":"2022-12-18","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-02-06","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-05-31","order":2,"name":"published","label":"Published online","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-05-31","order":3,"name":"published","label":"Print publication","group":{"name":"publication_history","label":"Publication History"}}]}}