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TRIPOD+AI: an updated reporting guideline for clinical prediction models · Study

WorkTRIPOD+AI: an updated reporting guideline for clinical prediction models

Jérémie F. Cohen2024

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Workgreen2024

TRIPOD+AI: an updated reporting guideline for clinical prediction models

Jérémie F. Cohen · Patrick M. Bossuyt

37 citations·0/0 files stored·BMJ

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Meta-analysis and systematic reviews Statistical Methods in Epidemiology Clinical practice guidelines implementation

Abstract

New update promotes best practice in this important area of clinical research

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References

2021PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews 2010CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials 2024TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods 2015Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement 2020Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension 2006Comparative accuracy: assessing new tests against existing diagnostic pathways 2022Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review

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Details

Year2024

Typeeditorial

Published2024-04-16

VenueBMJ

ISSN-L1756-1833

Languageen

Citations37

Files0 public / 0

ShelfMeta-analysis and systematic reviews

Identifiers

doi10.1136/bmj.q824

openalex_workW4394840979

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