ArticleBMJ open2020
TRIPOD statement: a preliminary pre-post analysis of reporting and methods of prediction models.
Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 9 of them syntheses that pooled it.
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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.
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Who cites it
43 citing papers in PubMed, 9 syntheses or guidelines pooled it.
- Assisted Reproductive Technology as Predictor for Preeclampsia: A Systematic Review of Current Clinical Prediction Models.Reproductive sciences (Thousand Oaks, Calif.) · 2026Pooled it
- Citation and adherence to TRIPOD guidelines by published radiological prognostic models: systematic review.The British journal of radiology · 2025Pooled it
- Understanding the contribution of lifestyle in breast cancer risk prediction: a systematic review of models applicable to Europe.BMC cancer · 2023Pooled it
- Methodological guidance for the evaluation and updating of clinical prediction models: a systematic review.BMC medical research methodology · 2022Pooled it
- Trends in the conduct and reporting of clinical prediction model development and validation: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2022Pooled it
- Applicability of predictive models for 30-day unplanned hospital readmission risk in paediatrics: a systematic review.BMJ open · 2022Pooled it
- Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review.BMC medical research methodology · 2022Pooled it
- Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved.Journal of clinical epidemiology · 2021Pooled it
- Methodological quality of multivariate prognostic models for intracranial haemorrhages in intensive care units: a systematic review.BMJ open · 2021Pooled it
- AI-assisted scoping review of code sharing in clinical prediction model research.Nature medicine · 2026Article
- Predicting the future for neonates with symptomatic congenital heart disease.Journal of perinatology : official journal of the California Perinatal Association · 2026Article
- Body Region Dysmorphology Is Predictive of Genetic Diagnoses in Infants With Congenital Heart Disease.Molecular genetics & genomic medicine · 2026Article
- Missing infrastructure for real-world predictive AI impact.BMJ health & care informatics · 2026Article
- Machine learning based retrospective cohort study to predict mortality risk in Chinese patients undergoing extracorporeal membrane oxygenation.Scientific reports · 2026Article
- SynthCraft: An AI partner for synthetic data generation to support data access and augmentation in healthcare.PLOS digital health · 2026Article
- Development and validation of a routine urinalysis-based risk stratification model for IgA nephropathy in a multicenter real-world hospital population.Frontiers in nephrology · 2026Article
- Glasgow Coma Scale, Revised Trauma Score, quick Sequential Organ Failure Assessment Score and the Modified Early Warning Score to predict the 7-day in-hospital mortality in patients with traumatic brain injury: a retrospective cohort study.BMC emergency medicine · 2025Article
- Artificial Intelligence in bone Metastases: A systematic review in guideline adherence of 92 studies.Journal of bone oncology · 2025Review
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Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
objectivesTo assess the difference in completeness of reporting and methodological conduct of published prediction models before and after publication of the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) statement.
methodsIn the seven general medicine journals with the highest impact factor, we compared the completeness of the reporting and the quality of the methodology of prediction model studies published between 2012 and 2014 (pre-TRIPOD) with studies published between 2016 and 2017 (post-TRIPOD). For articles published in the post-TRIPOD period, we examined whether there was improved reporting for articles (1) citing the TRIPOD statement, and (2) published in journals that published the TRIPOD statement.
resultsA total of 70 articles was included (pre-TRIPOD: 32, post-TRIPOD: 38). No improvement was seen for the overall percentage of reported items after the publication of the TRIPOD statement (pre-TRIPOD 74%, post-TRIPOD 76%, 95% CI of absolute difference: -4% to 7%). For the individual TRIPOD items, an improvement was seen for 16 (44%) items, while 3 (8%) items showed no improvement and 17 (47%) items showed a deterioration. Post-TRIPOD, there was no improved reporting for articles citing the TRIPOD statement, nor for articles published in journals that published the TRIPOD statement. The methodological quality improved in the post-TRIPOD period. More models were externally validated in the same article (absolute difference 8%, post-TRIPOD: 39%), used measures of calibration (21%, post-TRIPOD: 87%) and discrimination (9%, post-TRIPOD: 100%), and used multiple imputation for handling missing data (12%, post-TRIPOD: 50%).
conclusionsSince the publication of the TRIPOD statement, some reporting and methodological aspects have improved. Prediction models are still often poorly developed and validated and many aspects remain poorly reported, hindering optimal clinical application of these models. Long-term effects of the TRIPOD statement publication should be evaluated in future studies.
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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.