This paper is in the following e-collection/theme issue:

Methods and Instruments in Medical Informatics (182) Registered Report (753) Clinical Information and Decision Making (1828) Digital Health Meta-Research and Bibliographic Studies (54) Information Models (42) Decision Support for Health Professionals (1485) Scientometrics, Infometrics, and Altmetrics (116)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62710, first published .
Number of Publications on New Clinical Prediction Models: A Bibliometric Review

Number of Publications on New Clinical Prediction Models: A Bibliometric Review

Number of Publications on New Clinical Prediction Models: A Bibliometric Review

Authors of this article:

Banafsheh Arshi1, 2 Author Orcid Image ;   Laure Wynants1, 3, 4 Author Orcid Image ;   Eline Rijnhart1 Author Orcid Image ;   Kelly Reeve5 Author Orcid Image ;   Laura Elizabeth Cowley6 Author Orcid Image ;   Luc J Smits1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Banafsheh Arshi   1, 2 , PhD ;   Laure Wynants   1, 3, 4 , PhD ;   Eline Rijnhart   1 , MD, MSc ;   Kelly Reeve   5 , PhD ;   Laura Elizabeth Cowley   6 , PhD ;   Luc J Smits   1 , PhD

1 Department of Epidemiology, CAPHRI Care and Public Health Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands

2 Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands

3 Department of Development and Regeneration, KU Leuven, Leuven, Belgium

4 Leuven Unit for Health Technology Assessment Research (LUHTAR), KU Leuven, Leuven, Belgium

5 Epidemiology, Biostatistics and Prevention Institute, University of Zürich, Zurich, Switzerland

6 Population Data Science, Swansea University Medical School, Wales, United Kingdom

Corresponding Author:

  • Luc J Smits, PhD
  • Department of Epidemiology, CAPHRI Care and Public Health Research Institute
  • Faculty of Health, Medicine and Life Sciences, Maastricht University
  • Peter Debyeplein 1, P.O. Box 616
  • Maastricht 6200 MD
  • The Netherlands
  • Phone: 31 433882821
  • Email: luc.smits@maastrichtuniversity.nl