TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
Abstract
The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis) statement was published in 2015 to provide the minimum reporting recommendations for studies developing or evaluating the performance of a prediction model. Methodological advances in the field of prediction have since included the widespread use of artificial intelligence (AI) powered by machine learning methods to develop prediction models. An update to the TRIPOD statement is thus needed. TRIPOD+AI provides harmonised guidance for reporting prediction model studies, irrespective of whether regression modelling or machine learning methods have been used. The new checklist supersedes the TRIPOD 2015 checklist, which should no longer be used. This article describes the development of TRIPOD+AI and presents the expanded 27 item checklist with more detailed explanation of each reporting recommendation, and the TRIPOD+AI for Abstracts checklist. TRIPOD+AI aims to promote the complete, accurate, and transparent reporting of studies that develop a prediction model or evaluate its performance. Complete reporting will facilitate study appraisal, model evaluation, and model implementation.
Cite this
Professor Gary S. Collins, Karel G.M. Moons, Paula Dhiman, Richard D Riley, Andrew L. Beam, Ben VAN CALSTER, … Patrícia Logullo (2024). TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ. https://doi.org/10.1136/bmj-2023-078378
@article{s2024tripodai,
title = {TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods},
author = {Collins, Professor Gary S. and Moons, Karel G.M. and Dhiman, Paula and Riley, Richard D and Beam, Andrew L. and CALSTER, Ben VAN and Ghassemi, Marzyeh and Liu, Xiaoxuan and Reitsma, Johannes B. and Smeden, Maarten van and Boulesteix, Anne‐Laure and Camaradou, Jennifer and Celi, Leo Anthony and Denaxas, Spiros and Denniston, Alastair Keith and Glocker, Ben and Harvey, Hugh and Heinze, Georg and Hoffman, Michael M. and Kengne, André Pascal and Lee, Naomi and Loder, Elizabeth and Maier‐Hein, Lena and Mateen, Bilal Akhter and McCradden, Melissa D. and Oakden‐Rayner, Lauren and Ordish, Johan and Parnell, Richard and Rose, Sherri and Singh, Karandeep and Wynants, Laure and Logullo, Patrícia},
year = {2024},
journal = {BMJ},
doi = {10.1136/bmj-2023-078378}
}Citations in this library
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