{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T07:38:08Z","timestamp":1792741088004,"version":"4.5.0"},"reference-count":52,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T00:00:00Z","timestamp":1792368000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T00:00:00Z","timestamp":1792368000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["P30AG066546"],"award-info":[{"award-number":["P30AG066546"]}],"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":["R61AG069780"],"award-info":[{"award-number":["R61AG069780"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Geriatr Psychiatry Neurol"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Scalable approaches for early detection of cognitive impairment are urgently needed. A two-step screening approach, in which short cognitive assessments are administered only to individuals at risk, offers an efficient alternative to universal screening. This study evaluated combinations of brief self-report risk indicators and short cognitive assessments to identify models that accurately classify cognitive impairment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Participants aged 60+ from dementia specialty settings were classified as cognitively normal (CN; n = 87) or cognitively impaired (CI; n = 66). All completed three risk indicators, a modified self-report Brief Dementia Screening Indicator (BDSI), self-report of personal memory concerns, self-report of memory concerns expressed by others (other concern), and two short cognitive assessments (Quick Mild Cognitive Impairment screen [Qmci] and Speeded Matching [SM]). Logistic regressions using continuous variables and composite binary predictors predicted cognitive status.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Models significantly predicted cognitive status (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; .001; AUCs = 0.84-0.91 for continuous models and 0.59-0.79 for composite models). Among risk indicators, the BDSI was least informative, while other concern was the strongest predictor. Qmci and SM performed comparably as continuous variables. The best-performing composite predictor derived from other concern and Qmci yielded OR = 28.70 (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; .001), sensitivity = 63.6%, specificity = 94.3%.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>A two-step approach using brief self-report risk indicators and short cognitive assessments shows promise for efficient detection of cognitive impairment, providing initial validation in dementia specialty settings to support evaluation in primary care.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/08919887261498437","type":"journal-article","created":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T21:34:03Z","timestamp":1792445643000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Evaluating a Two-Step Approach: Combining Brief Risk Indicators and Short Cognitive Assessments for Improving Early Detection of Cognitive Impairment"],"prefix":"10.1177","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9694-9760","authenticated-orcid":false,"given":"Hanna K.","family":"Hausman","sequence":"first","affiliation":[{"name":"The University of Texas at San Antonio"},{"name":"The University of Texas at San Antonio"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samantha M.","family":"Roop","sequence":"additional","affiliation":[{"name":"The University of Texas at San Antonio"},{"name":"The University of Texas at San Antonio"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeremy J.","family":"Davis","sequence":"additional","affiliation":[{"name":"The University of Texas at San Antonio"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9892-7423","authenticated-orcid":false,"given":"Jeffrey N.","family":"Keller","sequence":"additional","affiliation":[{"name":"Pennington Biomedical Research Center, Louisiana State University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8386-1508","authenticated-orcid":false,"given":"Robin C.","family":"Hilsabeck","sequence":"additional","affiliation":[{"name":"The University of Texas at San Antonio"},{"name":"The University of Texas at San Antonio"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,10,19]]},"reference":[{"issue":"5","key":"e_1_3_7_2_2","first-page":"1","article-title":"2025 Alzheimer\u2019s disease facts and figures: American perspectives on early detection of alzheimer\u2019s disease in the era of treatment","volume":"21","author":"Alzheimer\u2019s Association","year":"2025","unstructured":"Alzheimer\u2019s Association. 2025 Alzheimer\u2019s disease facts and figures: American perspectives on early detection of alzheimer\u2019s disease in the era of treatment. 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