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

Methods and Instruments in Medical Informatics (220) Clinical Information and Decision Making (2105) Scientometrics, Infometrics, and Altmetrics (128) Decision Support for Health Professionals (1659) Information Models (50) Registered Report (857) Digital Health Meta-Research and Bibliographic Studies (76)

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 (4) Tweetations Metrics

Journals

  1. Taylor L, Peek N, Ercole A, Lyratzopoulos G, Usher-Smith J. Enabling digital multifactorial risk assessment in primary care: an umbrella review and recommendations for design and implementation. BMJ Health & Care Informatics 2026;33(1):e101896 View
  2. Ryland H, Fazel S. A clinician’s guide to probabilistic suicide risk prediction tools: cautions and pitfalls: commentary, Ryland & Fazel. The British Journal of Psychiatry 2026:1 View
  3. Li Q, Zeng M, Liang D, Zheng X, Zhang X, Martin-Payo R. Research on machine learning-based clinical prediction models: a bibliometric analysis. Frontiers in Oncology 2026;16 View
  4. Groenwold R, Dekkers O. Pitfalls in prediction modeling research. European Journal of Endocrinology 2026;194(4):E1 View