Transparent reporting of multivariable prediction models for individual prognosis or diagnosis: checklist for systematic reviews and meta-analyses (TRIPOD-SRMA)

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Transparent reporting of multivariable prediction models for individual prognosis or diagnosis: checklist for systematic reviews and meta-analyses (TRIPOD-SRMA)
 
Snell, Kym I.E.; Levis, Brooke; Damen, Johanna A.A.; Dhiman, Paula; Debray, Thomas P.A.; Hooft, Lotty; Reitsma, Johannes B.; Moons, Karel G.M.; Collins, Gary S.; Riley, Richard D.
(2023) BMJ, volume 381
(Article)
Abstract
Most clinical specialties have a plethora of studies that develop or validate one or more prediction models, for example, to inform diagnosis or prognosis. Having many prediction model studies in a particular clinical field motivates the need for systematic reviews and meta-analyses, to evaluate and summarise the overall evidence available ... read more
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Keywords: General Medicine
DOI: https://doi.org/10.1136/bmj-2022-073538
ISSN: 0959-8146
Publisher: BMJ Publishing Group
Note: Funding Information: Funding: KIES, BL, GSC, and RDR were supported by funding from the MRC Better Methods Better Research panel (grant reference MR/V038168/1). RDR and KIES were supported by funding from the NIHR Birmingham Biomedical Research Centre at the University Hospitals Birmingham NHS Foundation Trust and the University of Birmingham. KIES was also funded by the NIHR School for Primary Care Research (NIHR SPCR Launching Fellowship). BL was supported by a Fonds de recherche du Québec–Santé (FRQ-S) Postdoctoral Training Fellowship. GSC and PD were supported by the NIHR Biomedical Research Centre, Oxford, and Cancer Research UK (programme grant C49297/A27294). TPAD was supported by funding from the European Union’s Horizon 2020 research and innovation programme under ReCoDID grant agreement number 825746. JBR was supported by a TOP grant of the Netherlands Organisation for Health Research and Development (ZonMw) (entitled “Promoting tailored healthcare: improving methods to investigate subgroup effects in treatment response when having multiple individual participant datasets”; grant 91215058). The views expressed are those of the authors and not necessarily those of the NIHR, the Department of Health and Social Care, or any other funding body. The funders had no role in considering the study design or in the collection, analysis, interpretation of data, writing of the report, or decision to submit the article for publication.
(Peer reviewed)