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Johannes B. Reitsma

Researcher Next ID · RN-028743

Researcher · Decision Sciences

University Medical Center Utrecht

Utrecht, Netherlands

Not currently recruitingFunding unknown
Works count
583
Citation count
103,357
H-index
124
i10-index
373

Research interests

Decision Sciences
Economics, Econometrics and Finance
Mathematics
Medicine
Meta-analysis and systematic reviews
Reliability and Agreement in Measurement
Health Systems, Economic Evaluations, Quality of Life
Statistical Methods in Clinical Trials
Sepsis Diagnosis and Treatment

Publications

  • PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods

    BMJ · 2025 · https://doi.org/10.1136/bmj-2024-082505

  • TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

    BMJ · 2024 · https://doi.org/10.1136/bmj-2023-078378

  • 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

    BMJ Open · 2021 · https://doi.org/10.1136/bmjopen-2020-048008

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

    BMJ · 2020 · 10.1136/bmj.m441

  • Preferred reporting items for systematic review and meta-analysis of diagnostic test accuracy studies (PRISMA-DTA): explanation, elaboration, and checklist

    BMJ · 2020 · 10.1136/bmj.m2632

  • Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

    BMJ · 2020 · https://doi.org/10.1136/bmj.m1328

  • Sample size for binary logistic prediction models: Beyond events per variable criteria

    Statistical Methods in Medical Research · 2018 · 10.1177/0962280218784726

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

    JAMA · 2018 · https://doi.org/10.1001/jama.2017.19163

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

    Annals of Internal Medicine · 2018 · 10.7326/m18-1376

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

    Annals of Internal Medicine · 2018 · 10.7326/m18-1377

  • A guide to systematic review and meta-analysis of prediction model performance

    BMJ · 2017 · 10.1136/bmj.i6460

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

    BMJ Open · 2016 · 10.1136/bmjopen-2016-012799

  • Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement

    Annals of Internal Medicine · 2015 · 10.7326/m14-0697

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

    Radiology · 2015 · 10.1148/radiol.2015151516

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

    Clinical Chemistry · 2015 · 10.1373/clinchem.2015.246280

  • Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD statement

    British Journal of Cancer · 2015 · 10.1038/bjc.2014.639

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

    BMJ · 2015 · https://doi.org/10.1136/bmj.h5527

  • Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement

    BMC Medicine · 2015 · 10.1186/s12916-014-0241-z

  • Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): the TRIPOD Statement

    British journal of surgery · 2015 · 10.1002/bjs.9736

  • Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD)

    Circulation · 2015 · 10.1161/circulationaha.114.014508

  • Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement

    BMJ · 2015 · https://doi.org/10.1136/bmj.g7594

  • Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration

    Annals of Internal Medicine · 2015 · https://doi.org/10.7326/m14-0698

  • Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist

    PLoS Medicine · 2014 · 10.1371/journal.pmed.1001744

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

    BMC Medical Research Methodology · 2006 · 10.1186/1471-2288-6-9

  • Polyp Miss Rate Determined by Tandem Colonoscopy: A Systematic Review

    The American Journal of Gastroenterology · 2006 · 10.1111/j.1572-0241.2006.00390.x

  • Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews

    Journal of Clinical Epidemiology · 2005 · https://doi.org/10.1016/j.jclinepi.2005.02.022

  • Sources of Variation and Bias in Studies of Diagnostic Accuracy

    Annals of Internal Medicine · 2004 · 10.7326/0003-4819-140-3-200402030-00010

  • Clinical Features and Prognostic Factors in Adults with Bacterial Meningitis

    New England Journal of Medicine · 2004 · 10.1056/nejmoa040845

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

    BMC Medical Research Methodology · 2003 · https://doi.org/10.1186/1471-2288-3-25

  • Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative. Standards for Reporting of Diagnostic Accuracy.

    PubMed · 2003 · 10.1373/49.1.1

Current projects

    No projects listed.