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Johannes B. Reitsma

Johannes B. Reitsma

D-Index & Metrics

Medicine

D-Index
125
Citations
122675
World Ranking
3001
National Ranking
114

Overview

Johannes B. Reitsma is affiliated with Utrecht University in the Netherlands and has contributed extensively to research in the field of medicine. Their body of work spans multiple areas including statistics, probability, uncertainty, artificial intelligence, and pulmonary and respiratory medicine.

The scientist's research focuses significantly on meta-analysis and systematic reviews, health systems, economic evaluations, quality of life, and the application of artificial intelligence and machine learning in healthcare. Additional areas of expertise include reliability and agreement in measurement, statistical methods used in clinical trials, and Bayesian inference.

Reitsma has published in various prominent journals. Frequent publication venues include:

  • BMJ
  • Journal of Clinical Epidemiology
  • BMJ Open
  • Radiotherapy and Oncology
  • Diagnostic and Prognostic Research

Co-authorship collaborations are an important feature of their work. Reitsma has frequently worked with the following researchers:

  • Karel G.M. Moons
  • Ewoud Schuit
  • Gary S. Collins
  • Richard D. Riley
  • Maarten van Smeden

Some recent publications illustrate the research themes and timelines:

  • Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal (2020, BMJ)
  • Calculating the sample size required for developing a clinical prediction model (2020, BMJ)
  • TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods (2024, BMJ)
  • Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence (2021, BMJ Open)
  • Preferred reporting items for systematic review and meta-analysis of diagnostic test accuracy studies (PRISMA-DTA): explanation, elaboration, and checklist (2020, BMJ)

Best Publications

  • Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative

    P M Bossuyt;J B Reitsma;D E Bruns;C A Gatsonis

  • QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies

    Penny F. Whiting;Anne W.S. Rutjes;Marie E. Westwood;Susan Mallett

  • STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies

    Patrick M Bossuyt;Johannes B Reitsma;David E Bruns;Constantine A Gatsonis

  • Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative

    Patrick M Bossuyt;Johannes B Reitsma;David E Bruns;Constantine A Gatsonis

  • The STARD Statement for Reporting Studies of Diagnostic Accuracy: Explanation and Elaboration

    Patrick M. Bossuyt;Johannes B. Reitsma;David E. Bruns;Constantine A. Gatsonis

  • The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews

    Penny Whiting;Anne W S Rutjes;Johannes B Reitsma;Patrick M M Bossuyt

  • 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

  • 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

  • STARD 2015: An Updated List of Essential Items for Reporting Diagnostic Accuracy Studies.

    Patrick M. Bossuyt;Johannes B. Reitsma;David E. Bruns;Constantine A. Gatsonis

  • Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies The PRISMA-DTA Statement

    Matthew D.F. McInnes;David Moher;Brett D. Thombs;Brett D. Thombs;Trevor A. McGrath

  • Clinical Features and Prognostic Factors in Adults with Bacterial Meningitis

    Diederik van de Beek;Jan de Gans;Lodewijk Spanjaard;Martijn Weisfelt

  • STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration

    Jérémie F Cohen;Jérémie F Cohen;Daniël A Korevaar;Douglas G Altman;David E Bruns

  • Polyp miss rate determined by tandem colonoscopy: a systematic review.

    Jeroen C van Rijn;Johannes B Reitsma;Jaap Stoker;Patrick M Bossuyt

  • PROBAST: A tool to assess the risk of bias and applicability of prediction model studies

    Robert F. Wolff;Karel G.M. Moons;Richard D. Riley;Penny F. Whiting

  • Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist.

    Karel G. M. Moons;Joris A. H. de Groot;Walter Bouwmeester;Yvonne Vergouwe

  • Calculating the sample size required for developing a clinical prediction model.

    Richard D Riley;Joie Ensor;Kym I E Snell;Frank E Harrell

  • Sources of Variation and Bias in Studies of Diagnostic Accuracy: a Systematic Review

    Penny F Whiting;Anne W S Rutjes;Johannes B Reitsma;Afina S Glas

  • PROBAST : A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration

    Karel G.M. Moons;Robert F. Wolff;Richard D. Riley;Penny F. Whiting

  • Evaluation of QUADAS, a tool for the quality assessment of diagnostic accuracy studies

    Penny F Whiting;Marie E Weswood;Anne W S Rutjes;Johannes B Reitsma

  • The STARD statement for reporting studies of diagnostic accuracy: Explanation and elaboration

    Patrick M. Bossuyt;J. B. Reitsma;D. E. Bruns;Constantine A. Gatsonis

Frequent Co-Authors

Patrick M.M. Bossuyt
Patrick M.M. Bossuyt University of Amsterdam
Karel G.M. Moons
Karel G.M. Moons Utrecht University
Constantine Gatsonis
Constantine Gatsonis Brown University
Gary S. Collins
Gary S. Collins University of Oxford
Paul Glasziou
Paul Glasziou Bond University
Douglas G. Altman
Douglas G. Altman University of Oxford
Les Irwig
Les Irwig University of Sydney
David Moher
David Moher Ottawa Hospital
Henrica C.W. de Vet
Henrica C.W. de Vet University of Amsterdam
Arno W. Hoes
Arno W. Hoes Utrecht University

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