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Methods and Instruments in Medical Informatics (397) Clinical Information and Decision Making (3537) Scientometrics, Infometrics, and Altmetrics (466) Decision Support for Health Professionals (2119) Information Models (101) Registered Report (1489) Digital Health Meta-Research and Bibliographic Studies (112)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62710, first published .
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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 (10) Tweetations (2) 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;229(1):111 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
  5. Cai H, Li J, Wang H. A decade-long real-world cohort (2016–2025): development of an individualized risk-stratification nomogram and evaluation of clinical utility for recurrent respiratory tract infections in children. Frontiers in Pediatrics 2026;14 View
  6. Wu Y, Chen J, Tian S, Lin Z, Li Y, Wang C, Lu Q, Lu L, Zhao Y. Identification of Prognostic Clinical Features in Grade 4 Immune-Related Adverse Events: A Triangulation Study. ImmunoTargets and Therapy 2026;Volume 15:1 View
  7. Si S, Collins G, Alderman J, Van Calster B, Wynants L, Broome M, Daw P, Denniston A, Ensor J, Perry B. From bedside to bench: towards clinical predictive AI research that achieves real-world impact. BMJ Digital Health & AI 2026;2(1):e000044 View
  8. Perry B, Hammond B, Oliver D, Mushambi A, Andrews C, Peek N, Calster B, Wynants L, Walsh A, Alderman J, Si S, Denniston A, Griffin S, Ensor J. Missing infrastructure for real-world predictive AI impact. BMJ Health & Care Informatics 2026;33(1):e101954 View
  9. Greene L, Brain J, Brown B, Burley C, Burton E, Guan Z, Myers B, Ride K, Sabatini S, Siervo M, Tadesse A, Hing Tang E, Stephan B, Dunne J. Implementation of risk prediction and stratification approaches for ageing populations in Australian healthcare: a systematic review. The Lancet Regional Health - Western Pacific 2026:101910 View
  10. Gibson A, White N, Collins G, Barnett A. Evidence of unreliable data and poor data provenance in clinical prediction model research and clinical practice. BMC Medicine 2026;24(1) View