{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T19:30:03Z","timestamp":1786563003181,"version":"build-2736575974"},"reference-count":23,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2023,12,31]],"date-time":"2023-12-31T00:00:00Z","timestamp":1703980800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2023,12,31]],"date-time":"2023-12-31T00:00:00Z","timestamp":1703980800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100004319","name":"Pfizer","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004319","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int J of Rheum Dis"],"published-print":{"date-parts":[[2024,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>Validity of Algorithms in Large Databases: Infectious Diseases, Rheumatoid Arthritis, and Tumor Evaluation in Japan (VALIDATE\u2010J) study examined algorithms for identifying rheumatoid arthritis (RA) in Japanese claims data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>VALIDATE\u2010J was a multicenter, cross\u2010sectional retrospective study. Disease\u2010identifying algorithms were used to detect RA diagnosed between January 2012 and December 2016 using claims data from two Japanese hospitals. An RA diagnosis was confirmed using one of four gold standard definitions. Positive predictive values (PPVs) were calculated for prevalent (regardless of baseline RA\u2010free period) and incident (preceded by a 12\u2010month RA\u2010free period) cases.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Of patients identified using claims\u2010based algorithms, a random sample of 389 prevalent and 134 incident cases of RA were included. Cases identified by an RA diagnosis, no diagnosis of psoriasis, and treatment with any disease\u2010modifying antirheumatic drugs (DMARDs) resulted in the highest PPVs versus other claims\u2010based treatment categories (29.0%\u201388.3% [prevalent] and 41.0%\u201378.2% [incident]); cases identified by an RA diagnosis, no diagnosis of psoriasis, and glucocorticoid\u2010only treatment had the lowest PPVs. Across claims\u2010based algorithms, PPVs were highest when a physician diagnosis or decision by adjudicators (confirmed and probable cases) was used as the gold standard and were lowest when American College of Rheumatology\/European Alliance of Associations for Rheumatology 2010 criteria were applied. PPVs\u00a0of claims\u2010based algorithms for RA in patients aged \u226566\u2009years were slightly higher versus a USA Medicare population (maximum PPVs of 95.0% and 88.9%, respectively).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>VALIDATE\u2010J demonstrated high PPVs for most claims\u2010based algorithms for diagnosis of prevalent and incident RA using Japanese claims data. These findings will help inform appropriate RA definitions for future claims database research in Japan.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/1756-185x.15001","type":"journal-article","created":{"date-parts":[[2023,12,31]],"date-time":"2023-12-31T12:29:08Z","timestamp":1704025748000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Validation of claims\u2010based algorithms for rheumatoid arthritis in Japan: Results from the\n                    <scp>VALIDATE\u2010J<\/scp>\n                    study"],"prefix":"10.1111","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5008-0665","authenticated-orcid":false,"given":"Naonobu","family":"Sugiyama","sequence":"first","affiliation":[{"name":"Inflammation and Immunology, Medical Affairs Pfizer Japan  Tokyo 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Transfusion Department Dokkyo Medical University Saitama Medical Center  Koshigaya Saitama Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kayoko","family":"Katayama","sequence":"additional","affiliation":[{"name":"Cancer Prevention and Cancer Control Division Kanagawa Cancer Center Research Institute  Yokohama Kanagawa Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haoqian","family":"Chen","sequence":"additional","affiliation":[{"name":"Center for Pharmacoepidemiology and Treatment Science Rutgers Institute for Health, Health Care Policy and Aging Research  New Brunswick New Jersey USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Edward","family":"Nonnenmacher","sequence":"additional","affiliation":[{"name":"Center for Pharmacoepidemiology and Treatment Science Rutgers Institute for Health, Health Care Policy and Aging Research  New Brunswick New Jersey 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