J
Johannes B. Reitsma
Researcher at Utrecht University
Publications - 380
Citations - 66661
Johannes B. Reitsma is an academic researcher from Utrecht University. The author has contributed to research in topics: Randomized controlled trial & Population. The author has an hindex of 102, co-authored 369 publications receiving 54949 citations. Previous affiliations of Johannes B. Reitsma include Oklahoma State University Center for Health Sciences & University of Groningen.
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Journal ArticleDOI
QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies
Penny Whiting,Anne W S Rutjes,Marie Westwood,Susan Mallett,Jonathan J Deeks,Johannes B. Reitsma,Mariska M.G. Leeflang,Jonathan A C Sterne,Patrick M.M. Bossuyt +8 more
TL;DR: The QUADAS-2 tool will allow for more transparent rating of bias and applicability of primary diagnostic accuracy studies.
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The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews
TL;DR: In this article, an evidence-based quality assessment tool called QUADAS was proposed to assess the quality of primary studies of diagnostic accuracy, based on the results of three previously conducted reviews of the diagnostic literature.
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Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration.
Karel G.M. Moons,Douglas G. Altman,Johannes B. Reitsma,John P. A. Ioannidis,Petra Macaskill,Ewout W. Steyerberg,Andrew J. Vickers,David F. Ransohoff,Gary S. Collins +8 more
TL;DR: In virtually all medical domains, diagnostic and prognostic multivariable prediction models are being developed, validated, updated, and implemented with the aim to assist doctors and individuals in estimating probabilities and potentially influence their decision making.
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Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews.
Johannes B. Reitsma,Afina S. Glas,Anne W S Rutjes,Rob J. P. M. Scholten,Patrick M.M. Bossuyt,Aeilko H. Zwinderman +5 more
TL;DR: The bivariate model can be seen as an improvement and extension of the traditional sROC approach by reanalyzing the data of a published meta-analysis of diagnostic studies reporting pairs of sensitivity and specificity.
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Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative
Patrick M.M. Bossuyt,Johannes B. Reitsma,David E. Bruns,Constantine Gatsonis,Paul Glasziou,Les Irwig,Jeroen G. Lijmer,David Moher,Drummond Rennie,Henrica C.W. de Vet +9 more
TL;DR: If medical journals adopt the STARD checklist and flow diagram, the quality of reporting of studies of diagnostic accuracy should improve to the advantage of clinicians, researchers, reviewers, journals, and the public.