{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T13:09:45Z","timestamp":1778936985652,"version":"3.51.4"},"reference-count":36,"publisher":"Elsevier BV","issue":"9","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":[[2025,7,15]],"date-time":"2025-07-15T00:00:00Z","timestamp":1752537600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000005","name":"U.S. Department of Defense","doi-asserted-by":"publisher","award":["W81XWH2211018"],"award-info":[{"award-number":["W81XWH2211018"]}],"id":[{"id":"10.13039\/100000005","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000005","name":"U.S. Department of Defense","doi-asserted-by":"publisher","award":["UL1TR001105"],"award-info":[{"award-number":["UL1TR001105"]}],"id":[{"id":"10.13039\/100000005","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007914","name":"University of Texas Southwestern Medical Center","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007914","id-type":"DOI","asserted-by":"publisher"}]},{"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\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","jacc.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["JACC: Advances"],"published-print":{"date-parts":[[2025,9]]},"DOI":"10.1016\/j.jacadv.2025.102060","type":"journal-article","created":{"date-parts":[[2025,8,12]],"date-time":"2025-08-12T22:07:07Z","timestamp":1755036427000},"page":"102060","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"title":["External Validation of the Veterans Affairs Women Cardiovascular Disease Risk Score to Nonveteran Women"],"prefix":"10.1016","volume":"4","author":[{"given":"Haekyung","family":"Jeon-Slaughter","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaofei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erum Z.","family":"Whyne","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shirling","family":"Tsai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Monica R.","family":"Barbosa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bala","family":"Ramanan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sujata","family":"Bhushan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dian","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"5","key":"10.1016\/j.jacadv.2025.102060_bib1","doi-asserted-by":"crossref","DOI":"10.1161\/JAHA.120.019217","article-title":"Developing an internally validated veterans Affairs women cardiovascular disease risk score using veterans Affairs National electronic health records","volume":"10","author":"Jeon-Slaughter","year":"2021","journal-title":"J Am Heart Assoc"},{"issue":"12","key":"10.1016\/j.jacadv.2025.102060_bib2","doi-asserted-by":"crossref","DOI":"10.1161\/JAHA.120.015087","article-title":"Differential impact of aging on cardiovascular risk in women military service members","volume":"9","author":"Chen","year":"2020","journal-title":"J Am Heart Assoc"},{"issue":"10292","key":"10.1016\/j.jacadv.2025.102060_bib3","doi-asserted-by":"crossref","first-page":"2385","DOI":"10.1016\/S0140-6736(21)00684-X","article-title":"The Lancet women and cardiovascular disease commission: reducing the global burden by 2030","volume":"397","author":"Vogel","year":"2021","journal-title":"Lancet"},{"issue":"10","key":"10.1016\/j.jacadv.2025.102060_bib4","doi-asserted-by":"crossref","DOI":"10.1001\/jamanetworkopen.2023.40242","article-title":"Trends in cardiovascular disease mortality in US women veterans vs civilians","volume":"6","author":"Ebrahimi","year":"2023","journal-title":"JAMA Netw Open"},{"issue":"19","key":"10.1016\/j.jacadv.2025.102060_bib5","doi-asserted-by":"crossref","DOI":"10.3390\/ijerph181910005","article-title":"Assessing performance of the veterans Affairs women cardiovascular risk model in predicting a short-term risk of cardiovascular disease incidence using United States veterans Affairs COVID-19 shared data","volume":"18","author":"Jeon-Slaughter","year":"2021","journal-title":"Int J Environ Res Public Health"},{"issue":"1","key":"10.1016\/j.jacadv.2025.102060_bib6","doi-asserted-by":"crossref","first-page":"8497","DOI":"10.1038\/s41598-021-88111-z","article-title":"COVID-19 associated mortality and cardiovascular disease outcomes among US women veterans","volume":"11","author":"Tsai","year":"2021","journal-title":"Scientific Rep"},{"issue":"3","key":"10.1016\/j.jacadv.2025.102060_bib7","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1016\/j.whi.2021.12.003","article-title":"Cardiovascular risk screening among women veterans: identifying provider and patient barriers and facilitators to develop a clinical toolkit","volume":"32","author":"Bean-Mayberry","year":"2022","journal-title":"Womens Health Issues"},{"issue":"14","key":"10.1016\/j.jacadv.2025.102060_bib8","doi-asserted-by":"crossref","first-page":"1377","DOI":"10.1001\/jama.2017.12126","article-title":"Discrimination and calibration of clinical prediction models: users' guides to the medical literature","volume":"318","author":"Alba","year":"2017","journal-title":"JAMA"},{"issue":"28","key":"10.1016\/j.jacadv.2025.102060_bib9","doi-asserted-by":"crossref","first-page":"4529","DOI":"10.1002\/sim.7179","article-title":"A closed testing procedure to select an appropriate method for updating prediction models","volume":"36","author":"Vergouwe","year":"2017","journal-title":"Stat Med"},{"issue":"12","key":"10.1016\/j.jacadv.2025.102060_bib10","doi-asserted-by":"crossref","first-page":"1473","DOI":"10.1016\/j.amjcard.2004.02.058","article-title":"The Dallas heart study: a population-based probability sample for the multidisciplinary study of ethnic differences in cardiovascular health","volume":"93","author":"Victor","year":"2004","journal-title":"Am J Cardiol"},{"issue":"7","key":"10.1016\/j.jacadv.2025.102060_bib11","doi-asserted-by":"crossref","first-page":"1203","DOI":"10.1377\/hlthaff.2014.0054","article-title":"Insights from advanced analytics at the veterans health administration","volume":"33","author":"Fihn","year":"2014","journal-title":"Health Affairs"},{"issue":"1","key":"10.1016\/j.jacadv.2025.102060_bib12","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1186\/s12916-019-1466-7","article-title":"Calibration: the Achilles heel of predictive analytics","volume":"17","author":"Van Calster","year":"2019","journal-title":"BMC Medicine"},{"key":"10.1016\/j.jacadv.2025.102060_bib13","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.jbi.2017.10.008","article-title":"Beyond discrimination: a comparison of calibration methods and clinical usefulness of predictive models of readmission risk","volume":"76","author":"Walsh","year":"2017","journal-title":"J Biomed Inform"},{"issue":"1","key":"10.1016\/j.jacadv.2025.102060_bib14","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1097\/EDE.0b013e3181c30fb2","article-title":"Assessing the performance of prediction models: a framework for traditional and novel measures","volume":"21","author":"Steyerberg","year":"2010","journal-title":"Epidemiology"},{"key":"10.1016\/j.jacadv.2025.102060_bib15","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/j.jclinepi.2015.12.005","article-title":"A calibration hierarchy for risk models was defined: from utopia to empirical data","volume":"74","author":"Van Calster","year":"2016","journal-title":"J Clin Epidemiol"},{"issue":"3","key":"10.1016\/j.jacadv.2025.102060_bib16","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1002\/sim.5941","article-title":"Graphical assessment of internal and external calibration of logistic regression models by using loess smoothers","volume":"33","author":"Austin","year":"2014","journal-title":"Stat Med"},{"key":"10.1016\/j.jacadv.2025.102060_bib17","volume":"608","author":"Harrell","year":"2001"},{"issue":"477","key":"10.1016\/j.jacadv.2025.102060_bib18","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1198\/016214506000001437","article-title":"Strictly proper scoring rules, prediction, and estimation","volume":"102","author":"Gneiting","year":"2007","journal-title":"J Am Stat Assoc"},{"key":"10.1016\/j.jacadv.2025.102060_bib19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1175\/1520-0493(1950)078<0001:VOFEIT>2.0.CO;2","article-title":"Verification of forecasts expressed in terms of probability","volume":"78","author":"Brier","year":"1950","journal-title":"Monthly Weather Rev"},{"issue":"28","key":"10.1016\/j.jacadv.2025.102060_bib20","doi-asserted-by":"crossref","first-page":"4455","DOI":"10.1002\/sim.7041","article-title":"RB. Net reclassification index at event rate: properties and relationships","volume":"36","author":"Pencina","year":"2017","journal-title":"Stat Med"},{"issue":"8","key":"10.1016\/j.jacadv.2025.102060_bib21","doi-asserted-by":"crossref","DOI":"10.1161\/CIRCOUTCOMES.121.007858","article-title":"External validations of cardiovascular clinical prediction models: a large-scale Review of the literature","volume":"14","author":"Wessler","year":"2021","journal-title":"Circ Cardiovasc Qual Outcomes"},{"issue":"22","key":"10.1016\/j.jacadv.2025.102060_bib22","doi-asserted-by":"crossref","first-page":"1690","DOI":"10.1136\/heartjnl-2022-321231","article-title":"Independent external validation of the QRISK3 cardiovascular disease risk prediction model using UK Biobank","volume":"109","author":"Parsons","year":"2023","journal-title":"Heart"},{"issue":"1","key":"10.1016\/j.jacadv.2025.102060_bib23","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1186\/s13104-019-4293-1","article-title":"External validation of pooled cohort equations using systolic blood pressure intervention trial data","volume":"12","author":"Kuragaichi","year":"2019","journal-title":"BMC Res Notes"},{"issue":"1","key":"10.1016\/j.jacadv.2025.102060_bib24","doi-asserted-by":"crossref","first-page":"1471","DOI":"10.1186\/s12889-020-09579-4","article-title":"External validation of three atherosclerotic cardiovascular disease risk equations in rural areas of Xinjiang, China","volume":"20","author":"Jiang","year":"2020","journal-title":"BMC Public Health"},{"issue":"25","key":"10.1016\/j.jacadv.2025.102060_bib25","doi-asserted-by":"crossref","first-page":"e1162","DOI":"10.1161\/CIR.0000000000000638","article-title":"Use of risk assessment tools to guide decision-making in the primary prevention of atherosclerotic cardiovascular disease: a special report from the American heart association and American college of cardiology","volume":"139","author":"Lloyd-Jones","year":"2019","journal-title":"Circulation"},{"issue":"25_Part_B","key":"10.1016\/j.jacadv.2025.102060_bib26","doi-asserted-by":"crossref","first-page":"2935","DOI":"10.1016\/j.jacc.2013.11.005","article-title":"2013 ACC\/AHA guideline on the assessment of cardiovascular risk: a report of the American college of cardiology\/American heart association task force on practice guidelines","volume":"63","author":"Goff","year":"2014","journal-title":"J Am Coll Cardiol"},{"issue":"24","key":"10.1016\/j.jacadv.2025.102060_bib27","doi-asserted-by":"crossref","first-page":"1982","DOI":"10.1161\/CIR.0000000000001191","article-title":"Novel prediction equations for absolute risk assessment of total cardiovascular disease incorporating cardiovascular-kidney-metabolic health: a scientific statement from the American heart association","volume":"148","author":"Khan","year":"2023","journal-title":"Circulation"},{"issue":"4","key":"10.1016\/j.jacadv.2025.102060_bib28","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1001\/jama.2023.25115","article-title":"What to know about PREVENT, the AHA\u2019s new cardiovascular disease risk calculator","volume":"331","author":"Larkin","year":"2024","journal-title":"JAMA"},{"issue":"8","key":"10.1016\/j.jacadv.2025.102060_bib29","doi-asserted-by":"crossref","first-page":"963","DOI":"10.1001\/jamainternmed.2024.1302","article-title":"Atherosclerotic cardiovascular disease risk estimates using the predicting risk of cardiovascular disease events equations","volume":"184","author":"Anderson","year":"2024","journal-title":"JAMA Internal Med"},{"issue":"10","key":"10.1016\/j.jacadv.2025.102060_bib30","doi-asserted-by":"crossref","first-page":"2115","DOI":"10.1002\/hec.4577","article-title":"Healing the past, reimagining the present, investing in the future: what should be the role of race as a proxy covariate in health economics informed health care policy?","volume":"31","author":"Briggs","year":"2022","journal-title":"Health Economics"},{"issue":"9","key":"10.1016\/j.jacadv.2025.102060_bib31","doi-asserted-by":"crossref","first-page":"e2336207","DOI":"10.1001\/jamanetworkopen.2023.36207","article-title":"Neighborhood factors, individual stressors, and cardiovascular health among black and white adults in the US: the reasons for geographic and racial differences in stroke (REGARDS) study","volume":"6","author":"Hines","year":"2023","journal-title":"JAMA Network Open"},{"issue":"5","key":"10.1016\/j.jacadv.2025.102060_bib32","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1056\/NEJMms2029562","article-title":"Race and genetic ancestry in medicine \u2014 a time for reckoning with racism","volume":"384","author":"Borrell","year":"2021","journal-title":"N Engl J Med"},{"issue":"29","key":"10.1016\/j.jacadv.2025.102060_bib33","doi-asserted-by":"crossref","first-page":"1925","DOI":"10.1093\/eurheartj\/ehu207","article-title":"Towards better clinical prediction models: seven steps for development and an ABCD for validation","volume":"35","author":"Steyerberg","year":"2014","journal-title":"Eur Heart J"},{"key":"10.1016\/j.jacadv.2025.102060_bib34","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.jclinepi.2015.04.005","article-title":"Prediction models need appropriate internal, internal-external, and external validation","volume":"69","author":"Steyerberg","year":"2016","journal-title":"J Clin Epidemiol"},{"issue":"1","key":"10.1016\/j.jacadv.2025.102060_bib35","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1038\/s44294-024-00007-1","article-title":"Ten-year atherosclerotic cardiovascular disease risk trajectories among women veteran cancer patients","volume":"2","author":"Whyne","year":"2024","journal-title":"NPJ Women's Health"},{"issue":"6","key":"10.1016\/j.jacadv.2025.102060_bib36","doi-asserted-by":"crossref","first-page":"710","DOI":"10.1093\/aje\/kwk052","article-title":"Relaxing the rule of ten events per variable in logistic and Cox regression","volume":"165","author":"Vittinghoff","year":"2007","journal-title":"Am J Epidemiol"}],"container-title":["JACC: Advances"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2772963X25004855?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2772963X25004855?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T12:33:31Z","timestamp":1778934811000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2772963X25004855"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":36,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2025,9]]}},"alternative-id":["S2772963X25004855"],"URL":"https:\/\/doi.org\/10.1016\/j.jacadv.2025.102060","relation":{},"ISSN":["2772-963X"],"issn-type":[{"value":"2772-963X","type":"print"}],"subject":[],"published":{"date-parts":[[2025,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"External Validation of the Veterans Affairs Women Cardiovascular Disease Risk Score to Nonveteran Women","name":"articletitle","label":"Article Title"},{"value":"JACC: Advances","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jacadv.2025.102060","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"Published by Elsevier on behalf of the American College of Cardiology Foundation.","name":"copyright","label":"Copyright"}],"article-number":"102060"}}