{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T20:13:19Z","timestamp":1769026399483,"version":"3.49.0"},"reference-count":18,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2020,3,5]],"date-time":"2020-03-05T00:00:00Z","timestamp":1583366400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"Rheumatology Research Foundation Resident Research Preceptorship"},{"name":"National Institute for Arthritis and Musculoskeletal Skin Diseases","award":["K23 AR069688"],"award-info":[{"award-number":["K23 AR069688"]}]},{"name":"National Institute for Arthritis and Musculoskeletal Skin Diseases","award":["L30 AR066953"],"award-info":[{"award-number":["L30 AR066953"]}]},{"name":"National Institute for Arthritis and Musculoskeletal Skin Diseases","award":["R03 AR075886"],"award-info":[{"award-number":["R03 AR075886"]}]},{"name":"National Institute for Arthritis and Musculoskeletal Skin Diseases","award":["P30 AR070253"],"award-info":[{"award-number":["P30 AR070253"]}]},{"name":"National Institute for Arthritis and Musculoskeletal Skin Diseases","award":["P30 AR072577"],"award-info":[{"award-number":["P30 AR072577"]}]},{"DOI":"10.13039\/100006260","name":"Rheumatology Research Foundation","doi-asserted-by":"publisher","award":["R01 AR046849"],"award-info":[{"award-number":["R01 AR046849"]}],"id":[{"id":"10.13039\/100006260","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006260","name":"Rheumatology Research Foundation","doi-asserted-by":"publisher","award":["R01 AG034676"],"award-info":[{"award-number":["R01 AG034676"]}],"id":[{"id":"10.13039\/100006260","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,4,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>The study sought to determine the dependence of the Electronic Medical Records and Genomics (eMERGE) rheumatoid arthritis (RA) algorithm on both RA and electronic health record (EHR) duration.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Materials and Methods<\/jats:title>\n                  <jats:p>Using a population-based cohort from the Mayo Clinic Biobank, we identified 497 patients with at least 1 RA diagnosis code. RA case status was manually determined using validated criteria for RA. RA duration was defined as time from first RA code to the index date of biobank enrollment. To simulate EHR duration, various years of EHR lookback were applied, starting at the index date and going backward. Model performance was determined by sensitivity, specificity, positive predictive value, negative predictive value, and area under the curve (AUC).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>The eMERGE algorithm performed well in this cohort, with overall sensitivity 53%, specificity 99%, positive predictive value 97%, negative predictive value 74%, and AUC 76%. Among patients with RA duration &amp;lt;2 years, sensitivity and AUC were only 9% and 54%, respectively, but increased to 71% and 85% among patients with RA duration &amp;gt;10 years. Longer EHR lookback also improved model performance up to a threshold of 10 years, in which sensitivity reached 52% and AUC 75%. However, optimal EHR lookback varied by RA duration; an EHR lookback of 3 years was best able to identify recently diagnosed RA cases.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>eMERGE algorithm performance improves with longer RA duration as well as EHR duration up to 10 years, though shorter EHR lookback can improve identification of recently diagnosed RA cases.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jamia\/ocaa014","type":"journal-article","created":{"date-parts":[[2020,1,24]],"date-time":"2020-01-24T04:49:06Z","timestamp":1579841346000},"page":"601-605","source":"Crossref","is-referenced-by-count":9,"title":["Investigating the impact of disease and health record duration on the eMERGE algorithm for rheumatoid arthritis"],"prefix":"10.1093","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7489-3134","authenticated-orcid":false,"given":"Vanessa L","family":"Kronzer","sequence":"first","affiliation":[{"name":"Division of Rheumatology, Mayo Clinic, Rochester, Minnesota, USA"}]},{"given":"Liwei","family":"Wang","sequence":"additional","affiliation":[{"name":"Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA"}]},{"given":"Hongfang","family":"Liu","sequence":"additional","affiliation":[{"name":"Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA"}]},{"suffix":"III","given":"John M","family":"Davis","sequence":"additional","affiliation":[{"name":"Division of Rheumatology, Mayo Clinic, Rochester, Minnesota, USA"}]},{"given":"Jeffrey A","family":"Sparks","sequence":"additional","affiliation":[{"name":"Division of Rheumatology, Inflammation, and Immunity, Brigham and Women\u2019s Hospital, Harvard Medical School, Boston, Massachusetts, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5847-7475","authenticated-orcid":false,"given":"Cynthia S","family":"Crowson","sequence":"additional","affiliation":[{"name":"Division of Rheumatology, Mayo Clinic, Rochester, Minnesota, USA"},{"name":"Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA"}]}],"member":"286","published-online":{"date-parts":[[2020,3,5]]},"reference":[{"issue":"5","key":"2021012411203462300_ocaa014-B1","doi-asserted-by":"crossref","first-page":"1007","DOI":"10.1093\/jamia\/ocv180","article-title":"Extracting information from the text of electronic medical records to improve case detection: a systematic review","volume":"23","author":"Ford","year":"2016","journal-title":"J Am Med Inform Assoc"},{"issue":"1","key":"2021012411203462300_ocaa014-B2","doi-asserted-by":"crossref","first-page":"E5","DOI":"10.3390\/jpm6010005","article-title":"An eMERGE Clinical Center at Partners 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