{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T04:33:18Z","timestamp":1791261198193,"version":"4.1.0"},"reference-count":37,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T00:00:00Z","timestamp":1767139200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000069","name":"National Institute of Arthritis and Musculoskeletal and Skin Diseases","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000069","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["U01 AG027810"],"award-info":[{"award-number":["U01 AG027810"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["U01 AG042124"],"award-info":[{"award-number":["U01 AG042124"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["U01 AG042139"],"award-info":[{"award-number":["U01 AG042139"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["U01 AG042140"],"award-info":[{"award-number":["U01 AG042140"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["U01 AG042143"],"award-info":[{"award-number":["U01 AG042143"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["U01 AG042145"],"award-info":[{"award-number":["U01 AG042145"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["U01 AG042168"],"award-info":[{"award-number":["U01 AG042168"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["U01 AR066160"],"award-info":[{"award-number":["U01 AR066160"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["R01 AG066671"],"award-info":[{"award-number":["R01 AG066671"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["UL1 TR002369"],"award-info":[{"award-number":["UL1 TR002369"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Bone Microarchitecture International Consortium"},{"DOI":"10.13039\/100000069","name":"National Institute of Arthritis Musculoskeletal and Skin Diseases","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100000069","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01AR061445"],"award-info":[{"award-number":["R01AR061445"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["AR027065"],"award-info":[{"award-number":["AR027065"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Heart, Lung, and Blood Institute Framingham Heart Study","award":["N01-HC-25195"],"award-info":[{"award-number":["N01-HC-25195"]}]},{"name":"National Heart, Lung, and Blood Institute Framingham Heart Study","award":["HHSN268201500001I"],"award-info":[{"award-number":["HHSN268201500001I"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,5,29]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Fracture risk estimates can be used clinically to inform treatment decision-making in osteoporosis. Current fracture risk assessment tools have a low sensitivity in predicting fractures in males. This study aims to evaluate and validate the performance of a new fracture prediction tool\u2014the Microarchitecture Fracture Risk Assessment Calculator ($\\mu $FRAC)\u2014in a multicentre cohort (MrOS) of older community-dwelling men. The performance of $\\mu $FRAC was assessed in a population of 1586 men aged $\\geq 77$ years in the United States. All participants underwent HR-pQCT scanning (61 $\\mu $m) of the distal radius and distal tibia. Incident fracture information was collected every 4 months from the study visit. The $\\mu $FRAC 5-year and 10-year risk of major osteoporotic fracture and any osteoporotic fracture were calculated for all participants. The model calibration was assessed by fitting fine-gray competing risk regression models. The model discrimination was assessed using receiver operator characteristic curves and area under the curve (AUCs). Over the 10-year follow-up period, 129 men experienced an incident major osteoporotic fracture. The $\\mu $FRAC models showed good generalizability of the 5-year risk estimates (regression slope 0.8-1.1) to MrOS cohort. The $\\mu $FRAC models displayed an improved model performance (AUC = 0.685-0.703) relative to reference models of FRAX (AUC = 0.641) and FN aBMD alone (AUC = 0.636) for the 5-year major osteoporotic fracture (MOF) risk estimates. A sub-analysis on individuals classified as moderate risk by FRAX (10%-20% MOF risk) found that $\\mu $FRAC aided in stratifying risk, particularly for the 5-year risk estimates ($\\mu $FRAC AUC = 0.691-0.706). The $\\mu $FRAC models demonstrated strong performance and generalizability to an external cohort of older men. This validation of $\\mu $FRAC suggests its potential use as an alternate assessment tool for osteoporotic fracture risk and may have value in targeting moderate-risk subgroups to aid treatment decisions.<\/jats:p>","DOI":"10.1093\/jbmr\/zjaf187","type":"journal-article","created":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T12:56:35Z","timestamp":1765284995000},"page":"629-637","source":"Crossref","is-referenced-by-count":2,"title":["External validation of a novel HR-pQCT based fracture risk assessment tool (\u03bcFRAC) in a male cohort: the osteoporotic fractures in men (MrOS) study"],"prefix":"10.1093","volume":"41","author":[{"given":"Annabel R","family":"Bugbird","sequence":"first","affiliation":[{"name":"McCaig Institute for Bone and Joint Health , Cumming School of Medicine, University of Calgary, Calgary, AB,","place":["Canada"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrew J","family":"Burghardt","sequence":"additional","affiliation":[{"name":"Department of Radiology & Biomedical Imaging , University of California, San Francisco, CA,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lisa","family":"Langsetmo","sequence":"additional","affiliation":[{"name":"Department of Medicine and Division of Epidemiology and Community Health , University of Minnesota, Minneapolis, MN,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kristine E","family":"Ensrud","sequence":"additional","affiliation":[{"name":"Department of Medicine and Division of Epidemiology and Community Health , University of Minnesota, Minneapolis, MN,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mary L","family":"Bouxsein","sequence":"additional","affiliation":[{"name":"Center for Advanced Orthopedic Studies , Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Douglas P","family":"Kiel","sequence":"additional","affiliation":[{"name":"Hinda and Arthur Marcus Institute for Aging Research , Hebrew SeniorLife, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Steven K","family":"Boyd","sequence":"additional","affiliation":[{"name":"McCaig Institute for Bone and Joint Health , Cumming School of Medicine, University of Calgary, Calgary, AB,","place":["Canada"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Danielle E","family":"Whittier","sequence":"additional","affiliation":[{"name":"McCaig Institute for Bone and Joint Health , Cumming School of Medicine, University of Calgary, Calgary, AB,","place":["Canada"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2025,12,31]]},"reference":[{"issue":"3","key":"2026081703265855900_ref1","doi-asserted-by":"crossref","first-page":"101766","DOI":"10.1016\/j.berh.2022.101766","article-title":"Male osteoporosis-what are the causes, diagnostic challenges, and management","volume":"36","author":"Bj\u00f6rnsdottir","year":"2022","journal-title":"Best Pract Res Clin Rheumatol"},{"key":"2026081703265855900_ref2","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1007\/s001980170131","article-title":"Acute and long-term increase in fracture risk after hospitalization for vertebral fracture","volume":"12","author":"Johnell","year":"2001","journal-title":"Osteoporos Int"},{"issue":"3","key":"2026081703265855900_ref3","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1016\/j.jocd.2017.06.008","article-title":"Worldwide fracture prediction","volume":"20","author":"Fuleihan","year":"2017","journal-title":"J Clin Densitom"},{"issue":"8","key":"2026081703265855900_ref4","doi-asserted-by":"crossref","first-page":"1701","DOI":"10.1002\/jbmr.1956","article-title":"Risk assessment tools to identify women with increased risk of osteoporotic fracture: complexity or simplicity? A systematic review","volume":"28","author":"Rubin","year":"2013","journal-title":"J Bone Miner Res"},{"issue":"3","key":"2026081703265855900_ref5","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/S8756-3282(96)00383-3","article-title":"Assessment of the strength of proximal femur in vitro: relationship to femoral BMD and femoral geometry","volume":"20","author":"Cheng","year":"1997","journal-title":"Bone"},{"key":"2026081703265855900_ref6","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1007\/s00198-011-1822-8","article-title":"Relationship of femoral neck areal BMD to volumetric BMD, bone size, and femoral strength in men and women","volume":"23","author":"Srinivasan","year":"2012","journal-title":"Osteoporos Int"},{"key":"2026081703265855900_ref7","doi-asserted-by":"crossref","first-page":"863","DOI":"10.1007\/s00198-009-1026-7","article-title":"Prognosis of fracture: evaluation of predictive accuracy of the Frax\u2122 algorithm and garvan nomogram","volume":"21","author":"Sandhu","year":"2010","journal-title":"Osteoporos Int"},{"key":"2026081703265855900_ref8","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.bone.2017.02.008","article-title":"Diagnostic accuracy of frax in predicting the 10-year risk of osteoporotic fractures using the USA treatment thresholds: a systematic review and meta-analysis","volume":"99","author":"Jiang","year":"2017","journal-title":"Bone"},{"key":"2026081703265855900_ref9","first-page":"1","article-title":"Predictive performance of the garvan fracture risk calculator: a registry-based cohort study","author":"Agarwal","year":"2022","journal-title":"Osteoporos Int"},{"issue":"12","key":"2026081703265855900_ref10","doi-asserted-by":"crossref","first-page":"6508","DOI":"10.1210\/jc.2005-1258","article-title":"In vivo assessment of trabecular bone microarchitecture by high-resolution peripheral quantitative computed tomography","volume":"90","author":"Boutroy","year":"2005","journal-title":"J Clin Endocrinol Metab"},{"issue":"9","key":"2026081703265855900_ref11","doi-asserted-by":"crossref","first-page":"1234","DOI":"10.1002\/jbmr.4808","article-title":"A fracture risk assessment tool for high resolution peripheral quantitative computed tomography","volume":"38","author":"Whittier","year":"2023","journal-title":"J Bone Miner Res"},{"issue":"1","key":"2026081703265855900_ref12","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/S2213-8587(18)30308-5","article-title":"Cortical and trabecular bone microarchitecture as an independent predictor of incident fracture risk in older women and men in the bone microarchitecture international consortium (bomic): a prospective study","volume":"7","author":"Samelson","year":"2019","journal-title":"Lancet Diab Endocrinol"},{"key":"2026081703265855900_ref13","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/B978-012470862-4\/50043-X","volume-title":"Osteoporosis in Men: Epidemiology, Pathophysiology, and Clinical Characterization","author":"Orwoll","year":"2001"},{"issue":"1","key":"2026081703265855900_ref14","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.bone.2012.11.018","article-title":"Treatment of osteoporosis in men","volume":"53","author":"Kaufman","year":"2013","journal-title":"Bone"},{"issue":"5","key":"2026081703265855900_ref15","doi-asserted-by":"crossref","first-page":"569","DOI":"10.1016\/j.cct.2005.05.006","article-title":"Design and baseline characteristics of the osteoporotic fractures in men (mros) study\u2014a large observational study of the determinants of fracture in older men","volume":"26","author":"Orwoll","year":"2005","journal-title":"Contemp Clin Trials"},{"issue":"5","key":"2026081703265855900_ref16","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1016\/j.cct.2005.05.005","article-title":"Overview of recruitment for the osteoporotic fractures in men study (MROS)","volume":"26","author":"Blank","year":"2005","journal-title":"Contemp Clin Trials"},{"issue":"1","key":"2026081703265855900_ref17","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.bone.2011.10.003","article-title":"Visual grading of motion induced image degradation in high resolution peripheral computed tomography: impact of image quality on measures of bone density and micro-architecture","volume":"50","author":"Pialat","year":"2012","journal-title":"Bone"},{"key":"2026081703265855900_ref18","doi-asserted-by":"crossref","first-page":"1607","DOI":"10.1007\/s00198-020-05438-5","article-title":"Guidelines for the assessment of bone density and microarchitecture in vivo using high-resolution peripheral quantitative computed tomography","volume":"31","author":"Whittier","year":"2020","journal-title":"Osteoporos Int"},{"key":"2026081703265855900_ref19","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1007\/s00198-019-05214-0","article-title":"Optimizing HR-pQCT workflow: a comparison of bias and precision error for quantitative bone analysis","volume":"31","author":"Whittier","year":"2020","journal-title":"Osteoporos Int"},{"key":"2026081703265855900_ref20","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.jbiomech.2018.08.030","article-title":"Harmonizing finite element modelling for non-invasive strength estimation by high-resolution peripheral quantitative computed tomography","volume":"80","author":"Whittier","year":"2018","journal-title":"J Biomech"},{"key":"2026081703265855900_ref21","doi-asserted-by":"crossref","first-page":"1227","DOI":"10.1007\/s00198-009-1062-3","article-title":"Does standardized bmd still remove differences between hologic and ge-lunar state-of-the-art DXA systems?","volume":"21","author":"Fan","year":"2010","journal-title":"Osteoporos Int"},{"issue":"3","key":"2026081703265855900_ref22","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1007\/s40618-023-02219-9","article-title":"An overview of the use of the fracture risk assessment tool (Frax) in osteoporosis","volume":"47","author":"Schini","year":"2024","journal-title":"J Endocrinol Investig"},{"key":"2026081703265855900_ref23","doi-asserted-by":"crossref","first-page":"2359","DOI":"10.1007\/s00198-014-2794-2","article-title":"Clinician\u2019s guide to prevention and treatment of osteoporosis","volume":"25","author":"Cosman","year":"2014","journal-title":"Osteoporos Int"},{"key":"2026081703265855900_ref24","doi-asserted-by":"crossref","first-page":"116653","DOI":"10.1016\/j.bone.2022.116653","article-title":"Machine learning applied to HR-pQCT images improves fracture discrimination provided by DXA and clinical risk factors","volume":"168","author":"Lu","year":"2023","journal-title":"Bone"},{"issue":"1","key":"2026081703265855900_ref25","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1007\/s11657-022-01061-5","article-title":"UK clinical guideline for the prevention and treatment of osteoporosis","volume":"17","author":"Gregson","year":"2022","journal-title":"Arch Osteoporos"},{"issue":"5","key":"2026081703265855900_ref26","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1016\/j.bone.2009.01.373","article-title":"Frax$\\circledR $ and its applications to clinical practice","volume":"44","author":"Kanis","year":"2009","journal-title":"Bone"},{"issue":"27","key":"2026081703265855900_ref27","doi-asserted-by":"crossref","first-page":"4391","DOI":"10.1002\/sim.7501","article-title":"Practical recommendations for reporting f ine-g ray model analyses for competing risk data","volume":"36","author":"Austin","year":"2017","journal-title":"Stat Med"},{"issue":"5","key":"2026081703265855900_ref28","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1093\/jbmr\/zjae039","article-title":"Transferability of bone phenotyping and fracture risk assessment by $\\mu $frac from first-generation high-resolution peripheral quantitative computed tomography to second-generation scan data","volume":"39","author":"Bugbird","year":"2024","journal-title":"J Bone Miner Res"},{"issue":"5","key":"2026081703265855900_ref29","doi-asserted-by":"crossref","first-page":"1002","DOI":"10.1002\/jbmr.12","article-title":"Fracture risk prediction using bmd and clinical risk factors in early postmenopausal women: sensitivity of the who Frax tool","volume":"25","author":"Tr\u00e9mollieres","year":"2010","journal-title":"J Bone Miner Res"},{"issue":"1","key":"2026081703265855900_ref30","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1007\/s11657-022-01058-0","article-title":"An optimal intervention threshold of Frax in postmenopausal thai women","volume":"17","author":"Sribenjalak","year":"2022","journal-title":"Arch Osteoporos"},{"key":"2026081703265855900_ref31","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.bone.2017.02.008","article-title":"Diagnostic accuracy of frax in predicting the 10-year risk of osteoporotic fractures using the USA treatment thresholds: a systematic review and meta-analysis","volume":"99","author":"Jiang","year":"2017","journal-title":"Bone"},{"issue":"5","key":"2026081703265855900_ref32","doi-asserted-by":"crossref","first-page":"1396","DOI":"10.1111\/jgs.18859","article-title":"Balancing fracture risk versus risk of mortality before fracture among women aged 80 years or older","volume":"72","author":"Schousboe","year":"2024","journal-title":"J Am Geriatr Soc"},{"issue":"1","key":"2026081703265855900_ref33","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1186\/s43166-024-00270-9","article-title":"Predicting the probability of osteoporotic fracture risk in men versus women: do we need specific reference interventional thresholds for men?","volume":"51","author":"El Miedany","year":"2024","journal-title":"Egypt Rheumatol Rehabil"},{"key":"2026081703265855900_ref34","doi-asserted-by":"crossref","first-page":"ziae013","DOI":"10.1093\/jbmrpl\/ziae013","article-title":"Structural differences contributing to sex-specific associations between FN BMD and whole-bone strength for adult white women and men","volume":"8","author":"Jepsen","year":"2024","journal-title":"JBMR Plus"},{"key":"2026081703265855900_ref35","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.jbiomech.2017.05.011","article-title":"Distal skeletal tibia assessed by HR-pQCT is highly correlated with femoral and lumbar vertebra failure loads","volume":"59","author":"Kroker","year":"2017","journal-title":"J Biomech"},{"issue":"9","key":"2026081703265855900_ref36","doi-asserted-by":"crossref","first-page":"1225","DOI":"10.1002\/jbmr.4909","article-title":"The added value of high-resolution peripheral quantitative computed tomography in fracture risk prediction","volume":"38","author":"Lorentzon","year":"2023","journal-title":"J Bone Miner Res"},{"issue":"10","key":"2026081703265855900_ref37","doi-asserted-by":"crossref","first-page":"1236","DOI":"10.1093\/gerona\/glt092","article-title":"Epidemiology of fracture risk with advancing age","volume":"68","author":"Ensrud","year":"2013","journal-title":"J Gerontol Ser A: Biomed Sci Med Sci"}],"container-title":["Journal of Bone and Mineral Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/jbmr\/advance-article-pdf\/doi\/10.1093\/jbmr\/zjaf187\/66174769\/zjaf187.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/jbmr\/article-pdf\/41\/6\/629\/66174769\/zjaf187.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/jbmr\/article-pdf\/41\/6\/629\/66174769\/zjaf187.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T07:27:08Z","timestamp":1786951628000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/jbmr\/article\/41\/6\/629\/8407682"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,31]]},"references-count":37,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2025,12,31]]},"published-print":{"date-parts":[[2026,5,29]]}},"URL":"https:\/\/doi.org\/10.1093\/jbmr\/zjaf187","relation":{},"ISSN":["0884-0431","1523-4681"],"issn-type":[{"value":"0884-0431","type":"print"},{"value":"1523-4681","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2026,6]]},"published":{"date-parts":[[2025,12,31]]}}}