{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T00:48:51Z","timestamp":1775868531912,"version":"3.50.1"},"reference-count":50,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T00:00:00Z","timestamp":1769558400000},"content-version":"vor","delay-in-days":27,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["U01 AG009740"],"award-info":[{"award-number":["U01 AG009740"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["F32 AG072730"],"award-info":[{"award-number":["F32 AG072730"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["K01AG088464"],"award-info":[{"award-number":["K01AG088464"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["alz-journals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["A&amp;amp;D Transl Res &amp;amp; Clin Interv"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>BACKGROUND<\/jats:title>\n                    <jats:p>This study assessed how medical exclusion criteria of a prevention Alzheimer's disease trial impact potential eligibility and sample characteristics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS<\/jats:title>\n                    <jats:p>\n                      Medical exclusion criteria from the Anti\u2010Amyloid Treatment in Asymptomatic Alzheimer's Disease (A4) trial were applied to\n                      <jats:italic>N<\/jats:italic>\n                      = 3695 participants from the population\u2010based Health Retirement Study (HRS) with linked Medicare data. We determined the proportion of hypothetical eligibility. Multivariate Poisson regression was used to estimate associations between sociodemographic characteristics and eligibility.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>\n                      Of the participants, 74.2% (\n                      <jats:italic>N<\/jats:italic>\n                      = 2742) were deemed ineligible. Accounting for all sociodemographic characteristics, older age, female gender, fewer years of education, lower net worth, and body mass index of 30+ was associated with a higher odds of being deemed ineligible. Ethnocultural identity and living arrangement were not associated with eligibility.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSIONS<\/jats:title>\n                    <jats:p>Our results suggest that certain sociodemographic factors may limit eligibility for a prevention Alzheimer's disease trial due to the presence of exclusionary medical conditions. This highlights the need to make trials more inclusive.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Highlights<\/jats:title>\n                    <jats:p>\n                      <jats:list list-type=\"bullet\">\n                        <jats:list-item>\n                          <jats:p>A total of 2742 participants (74.2%) were deemed ineligible for the Anti\u2010Amyloid Treatment in Asymptomatic Alzheimer's Disease (A4) trial based on the medical exclusion criteria.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>The most common medical exclusion in this sample was for cardiovascular conditions.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Ineligibility was associated with age, education, net worth, and body mass index.<\/jats:p>\n                        <\/jats:list-item>\n                      <\/jats:list>\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/trc2.70191","type":"journal-article","created":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T03:35:58Z","timestamp":1769657758000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Exclusions affect representativeness of Alzheimer's disease trial participants"],"prefix":"10.1002","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4045-6435","authenticated-orcid":false,"given":"Miriam T.","family":"Ashford","sequence":"first","affiliation":[{"name":"VA Advanced Imaging Research Center San Francisco Veteran's Administration Medical Center  San Francisco California USA"},{"name":"Department of Psychiatry and Behavioral Sciences University of California, San Francisco  San Francisco California USA"},{"name":"Department of Veterans Affairs Medical Center \u2010 San 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Sciences University of California, San Francisco  San Francisco California USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael W.","family":"Weiner","sequence":"additional","affiliation":[{"name":"VA Advanced Imaging Research Center San Francisco Veteran's Administration Medical Center  San Francisco California USA"},{"name":"Department of Veterans Affairs Medical Center \u2010 San Francisco Northern California Institute for Research and Education (NCIRE)  San Francisco California USA"},{"name":"Department of Radiology and Biomedical Imaging University of California, San Francisco  San Francisco California USA"},{"name":"Department of Medicine University of California San Francisco  San Francisco California USA"},{"name":"Department of Neurology University of California San Francisco  San Francisco California USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David R.","family":"Weir","sequence":"additional","affiliation":[{"name":"Institute for Social Research University of Michigan  Ann Arbor Michigan USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kenneth M.","family":"Langa","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine University of Michigan  Ann Arbor Michigan USA"},{"name":"Institute for Social Research University of Michigan  Ann Arbor Michigan USA"},{"name":"Institute for Healthcare Policy and Innovation University of Michigan  Ann Arbor Michigan 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