SynthesisJournal of the American Medical Informatics Association : JAMIA2022
Trends in the conduct and reporting of clinical prediction model development and validation: a systematic review.
Synthesis in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Number of Publications on New Clinical Prediction Models: A Bibliometric Review.JMIR medical informatics · 2025Pooled it
- Pooled it
- AI Quality Standards in Health Care: Rapid Umbrella Review.Journal of medical Internet research · 2024Pooled it
- Use of unstructured text in prognostic clinical prediction models: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2022Pooled it
- "Triggering the palliative intent"?: A qualitative implementation evaluation of a prognostication model for advanced dementia (PRO-MADE) in a geriatric tertiary care setting for the integration of early palliative care.BMC palliative care · 2026Article
- Risk prediction models for adverse drug reactions in pediatrics: a scoping review.International journal of clinical pharmacy · 2026Article
- Prediction models developed using artificial intelligence: similar predictive performances with highly varying predictions for individuals - an illustration in deep vein thrombosis.Diagnostic and prognostic research · 2026Article
- Development and validation of machine learning models for predicting rehabilitation non-response after knee arthroplasty.Frontiers in rehabilitation sciences · 2026Article
- External Validation of a Multivariable Diagnostic Prediction Model for Acute Invasive Fungal Rhinosinusitis in Tertiary Care Settings.International forum of allergy & rhinology · 2026Article
- Urine volatile organic compounds profiling via GC-IMS combined with machine learning: a powerful diagnostic and pathogen differentiation tool for urinary tract infections.Frontiers in cellular and infection microbiology · 2026Article
- Review
- Peripheral blood T-lymphocyte subsets provide prediction of early postoperative recurrence in elderly patients with lung cancer: model development and external validation.Frontiers in oncology · 2026Article
- Risk of bias in machine learning and statistical models to predict height or weight: a systematic review in fetal and paediatric medicine.Diagnostic and prognostic research · 2025Review
- Leveraging AI and transfer learning to enhance out-of-hospital cardiac arrest outcome prediction in diverse setting.NPJ digital medicine · 2025Article
- Implementation and Updating of Clinical Prediction Models: A Systematic Review.Mayo Clinic proceedings. Digital health · 2025Review
- Construction and Evaluation of a Risk Prediction Model for Stress Urinary Incontinence in Late Pregnancy Based on Clinical Factors and Pelvic Floor Ultrasound Parameters.Diagnostics (Basel, Switzerland) · 2025Article
- Postoperative mid-to-long-term adverse event prediction model for patients receiving non-cardiac surgery: An extension of the Simple Postoperative AKI RisK (SPARK) model.Clinical kidney journal · 2025Article
- External validation of machine learning models-registered models and adaptive sample splitting.GigaScience · 2025Article
- Navigating the Multiverse: a Hitchhiker's guide to selecting harmonization methods for multimodal biomedical data.Biology methods & protocols · 2025Review
- Validation of an Electronic Health Record-Based Machine Learning Model Compared With Clinical Risk Scores for Gastrointestinal Bleeding.Gastroenterology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
objectivesThis systematic review aims to provide further insights into the conduct and reporting of clinical prediction model development and validation over time. We focus on assessing the reporting of information necessary to enable external validation by other investigators. MATERIALS AND
methodsWe searched Embase, Medline, Web-of-Science, Cochrane Library, and Google Scholar to identify studies that developed 1 or more multivariable prognostic prediction models using electronic health record (EHR) data published in the period 2009-2019.
resultsWe identified 422 studies that developed a total of 579 clinical prediction models using EHR data. We observed a steep increase over the years in the number of developed models. The percentage of models externally validated in the same paper remained at around 10%. Throughout 2009-2019, for both the target population and the outcome definitions, code lists were provided for less than 20% of the models. For about half of the models that were developed using regression analysis, the final model was not completely presented. DISCUSSION: Overall, we observed limited improvement over time in the conduct and reporting of clinical prediction model development and validation. In particular, the prediction problem definition was often not clearly reported, and the final model was often not completely presented.
conclusionImprovement in the reporting of information necessary to enable external validation by other investigators is still urgently needed to increase clinical adoption of developed models.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.