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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/29585
Title: Predictors for remission in rheumatoid arthritis patients: A systematic review
Authors: Wanruchada Katchamart
Sindhu Johnson
Hsing Ju Lucy Lin
Veerapong Phumethum
Carine Salliot
Claire Bombardier
University of Toronto
Mahidol University
University Health Network University of Toronto
Prapokklao Hospital
Universite Paris Descartes
Keywords: Medicine
Issue Date: 1-Aug-2010
Citation: Arthritis Care and Research. Vol.62, No.8 (2010), 1128-1143
Abstract: Objective. To summarize the potential predictors of remission in patients with rheumatoid arthritis (RA). Methods. We performed a systematic review of prognostic studies that identified the predictors of remission in RA patients. Studies were identified in Medline, EMBase, and the Cochrane Registry, and by hand search. We included only studies performing multivariate analysis. Results. A total of 18 studies from 2,062 citations were included. The following variables were found to be the independent predictors of RA remission: male sex; young age; late-onset RA; short disease duration; nonsmoker; low baseline disease activity; mild functional impairment; low baseline radiographic damage; absence of rheumatoid factor and anti - citrullinated peptide; low serum level of acute-phase reactant, interleukin-2, and RANKL at baseline; MTHFR 677T alleles and 1298C alleles in the methotrexate (MTX) - treated patients; magnetization transfer ratio 2756A allele ± either the SLC 19A180A allele or the TYMS 3R-del6 haplotype in the MTX plus sulfasalazine combination - treated patients; early treatment with nonbiologic disease-modifying antirheumatic drug (DMARD) combinations; the use of anti - tumor necrosis factor (anti-TNF); the concurrent use of DMARDs in anti-TNF - treated patients; and moderate or good response to treatments at the first 6 months. The magnitude of the association in the individual predictor was diverse among the studies depending on the patient characteristics, the study characteristics, and the variables used to adjust for in the models. Conclusion. A number of independent predictors of remission, i.e., baseline clinical and laboratory characteristics and genetic markers, were summarized. The predictive value of prognostic factors recently identified needs to be confirmed. © 2010, American College of Rheumatology.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77955293575&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/29585
ISSN: 15290131
21514658
Appears in Collections:Scopus 2006-2010

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