Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/56008
Full metadata record
DC FieldValueLanguage
dc.contributor.authorNicola Dalbethen_US
dc.contributor.authorH. Ralph Schumacheren_US
dc.contributor.authorJaap Fransenen_US
dc.contributor.authorTuhina Neogien_US
dc.contributor.authorTim L. Jansenen_US
dc.contributor.authorMelanie Brownen_US
dc.contributor.authorWorawit Louthrenooen_US
dc.contributor.authorJanitzia Vazquez-Melladoen_US
dc.contributor.authorMaxim Eliseeven_US
dc.contributor.authorGeraldine McCarthyen_US
dc.contributor.authorLisa K. Stampen_US
dc.contributor.authorFernando Perez-Ruizen_US
dc.contributor.authorFrancisca Siveraen_US
dc.contributor.authorHang Korng Eaen_US
dc.contributor.authorMartijn Gerritsenen_US
dc.contributor.authorCarlo A. Scireen_US
dc.contributor.authorLorenzo Cavagnaen_US
dc.contributor.authorChingtsai Linen_US
dc.contributor.authorYin Yi Chouen_US
dc.contributor.authorAnne Kathrin Tauscheen_US
dc.contributor.authorGeraldo da Rocha Castelar-Pinheiroen_US
dc.contributor.authorMatthijs Janssenen_US
dc.contributor.authorJiunn Horng Chenen_US
dc.contributor.authorMarco A. Cimminoen_US
dc.contributor.authorTill Uhligen_US
dc.contributor.authorWilliam J. Tayloren_US
dc.date.accessioned2018-09-05T03:07:41Z-
dc.date.available2018-09-05T03:07:41Z-
dc.date.issued2016-12-01en_US
dc.identifier.issn21514658en_US
dc.identifier.issn2151464Xen_US
dc.identifier.other2-s2.0-84997078109en_US
dc.identifier.other10.1002/acr.22896en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84997078109&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/56008-
dc.description.abstract© 2016, American College of Rheumatology Objective: To identify the best-performing survey definition of gout from items commonly available in epidemiologic studies. Methods: Survey definitions of gout were identified from 34 epidemiologic studies contributing to the Global Urate Genetics Consortium (GUGC) genome-wide association study. Data from the Study for Updated Gout Classification Criteria (SUGAR) were randomly divided into development and test data sets. A data-driven case definition was formed using logistic regression in the development data set. This definition, along with definitions used in GUGC studies and the 2015 American College of Rheumatology (ACR)/European League Against Rheumatism (EULAR) gout classification criteria were applied to the test data set, using monosodium urate crystal identification as the gold standard. Results: For all tested GUGC definitions, the simple definition of “self-report of gout or urate-lowering therapy use” had the best test performance characteristics (sensitivity 82%, specificity 72%). The simple definition had similar performance to a SUGAR data-driven case definition with 5 weighted items: self-report, self-report of doctor diagnosis, colchicine use, urate-lowering therapy use, and hyperuricemia (sensitivity 87%, specificity 70%). Both of these definitions performed better than the 1977 American Rheumatism Association survey criteria (sensitivity 82%, specificity 67%). Of all tested definitions, the 2015 ACR/EULAR criteria had the best performance (sensitivity 92%, specificity 89%). Conclusion: A simple definition of “self-report of gout or urate-lowering therapy use” has the best test performance characteristics of existing definitions that use routinely available data. A more complex combination of features is more sensitive, but still lacks good specificity. If a more accurate case definition is required for a particular study, the 2015 ACR/EULAR gout classification criteria should be considered.en_US
dc.subjectMedicineen_US
dc.titleSurvey Definitions of Gout for Epidemiologic Studies: Comparison With Crystal Identification as the Gold Standarden_US
dc.typeJournalen_US
article.title.sourcetitleArthritis Care and Researchen_US
article.volume68en_US
article.stream.affiliationsUniversity of Aucklanden_US
article.stream.affiliationsUniversity of Pennsylvaniaen_US
article.stream.affiliationsRadboud University Nijmegen Medical Centreen_US
article.stream.affiliationsBoston University School of Medicineen_US
article.stream.affiliationsVieCuri Medisch Centrum voor Noord-Limburgen_US
article.stream.affiliationsUniversity of Otagoen_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsHospital General de Mexicoen_US
article.stream.affiliationsV.A. Nasonova Research Institute of Rheumatologyen_US
article.stream.affiliationsUniversity College Dublin, School of Medicineen_US
article.stream.affiliationsHospital Universitario Cruces and BioCruces Health Research Instituteen_US
article.stream.affiliationsHospital General Universitario de Alicanteen_US
article.stream.affiliationsUniversite Paris 7- Denis Dideroten_US
article.stream.affiliationsWestfriesgasthuisen_US
article.stream.affiliationsItalian Society for Rheumatologyen_US
article.stream.affiliationsFondazione IRCCS Policlinico San Matteoen_US
article.stream.affiliationsVeterans General Hospital-Taichung Taiwanen_US
article.stream.affiliationsDresden University Faculty of Medicine and University Hospital Carl Gustav Carusen_US
article.stream.affiliationsUniversidade de Estado do Rio de Janeiroen_US
article.stream.affiliationsRijnstate Hospitalen_US
article.stream.affiliationsChina Medical University Taichungen_US
article.stream.affiliationsUniversita degli Studi di Genovaen_US
article.stream.affiliationsDiakonhjemmet Sykehusen_US
Appears in Collections:CMUL: Journal Articles

Files in This Item:
There are no files associated with this item.


Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.