T
Thomas P. A. Debray
Researcher at Utrecht University
Publications - 114
Citations - 8205
Thomas P. A. Debray is an academic researcher from Utrecht University. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 33, co-authored 93 publications receiving 5198 citations. Previous affiliations of Thomas P. A. Debray include Oklahoma State University Center for Health Sciences & University of Groningen.
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Journal ArticleDOI
Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Laure Wynants,Laure Wynants,Ben Van Calster,Ben Van Calster,Gary S. Collins,Gary S. Collins,Richard D Riley,Georg Heinze,Ewoud Schuit,Marc J.M. Bonten,Darren Dahly,Johanna A A G Damen,Thomas P. A. Debray,Valentijn M.T. de Jong,Maarten De Vos,Paula Dhiman,Paula Dhiman,Maria C Haller,Michael O. Harhay,Liesbet Henckaerts,Pauline Heus,Michael Kammer,Nina Kreuzberger,Anna Lohmann,Kim Luijken,Jie Ma,Glen P. Martin,David J. McLernon,Constanza L Andaur Navarro,Johannes B. Reitsma,Jamie C. Sergeant,Chunhu Shi,Nicole Skoetz,Luc J.M. Smits,Kym I E Snell,Matthew Sperrin,René Spijker,René Spijker,Ewout W. Steyerberg,Toshihiko Takada,Ioanna Tzoulaki,Ioanna Tzoulaki,Sander M. J. van Kuijk,Bas C T van Bussel,Bas C T van Bussel,Iwan C. C. van der Horst,Florien S. van Royen,Jan Y Verbakel,Jan Y Verbakel,Christine Wallisch,Christine Wallisch,Jack Wilkinson,Robert Wolff,Lotty Hooft,Karel G.M. Moons,Maarten van Smeden +55 more
TL;DR: Proposed models for covid-19 are poorly reported, at high risk of bias, and their reported performance is probably optimistic, according to a review of published and preprint reports.
Journal ArticleDOI
Prediction models for cardiovascular disease risk in the general population: systematic review
Johanna A A G Damen,Lotty Hooft,Ewoud Schuit,Ewoud Schuit,Thomas P. A. Debray,Gary S. Collins,Ioanna Tzoulaki,Camille Lassale,George C.M. Siontis,Virginia Chiocchia,Corran Roberts,Michael Maia Schlüssel,Stephen Gerry,James A. Black,Pauline Heus,Yvonne T. van der Schouw,Linda M. Peelen,Karel G.M. Moons +17 more
TL;DR: There is an excess of models predicting incident CVD in the general population and the usefulness of most of the models remains unclear owing to methodological shortcomings, incomplete presentation, and lack of external validation and model impact studies.
Journal ArticleDOI
A new framework to enhance the interpretation of external validation studies of clinical prediction models
Thomas P. A. Debray,Yvonne Vergouwe,Hendrik Koffijberg,Daan Nieboer,Ewout W. Steyerberg,Karel G.M. Moons +5 more
TL;DR: A framework of methodological steps and statistical methods for analyzing and enhancing the interpretation of results from external validation studies of prediction models is developed to quantify the degree of relatedness between development and validation samples by evaluating their corresponding case-mix differences.
Journal ArticleDOI
A guide to systematic review and meta-analysis of prognostic factor studies.
Richard D Riley,Karel G.M. Moons,Kym I E Snell,Joie Ensor,Lotty Hooft,Douglas G. Altman,Jill A. Hayden,Gary S. Collins,Thomas P. A. Debray +8 more
TL;DR: Systematic reviews and meta-analyses are needed that summarise the evidence about the prognostic value of particular factors and the key steps involved in this review process are described.
Journal ArticleDOI
External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges
Richard D Riley,Joie Ensor,Kym I E Snell,Thomas P. A. Debray,Doug G Altman,Karel G.M. Moons,Gary S. Collins +6 more
TL;DR: Novel opportunities for external validation in big, combined datasets in e-health records and individual participant data meta-analysis are illustrated, drawing attention to methodological challenges and reporting issues.