Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): Explanation and elaboration. Translation in to Russian Review


Authors: Moons, K. G. M.; Altman, D. G.; Reitsma, J. B.; Loannidis, J. P. A.; Macaskill, P.; Steyerberg, E. W.; Vickers, A. J.; Ransohoff, D. F.; Collins, G. S.
Review Title: Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): Explanation and elaboration. Translation in to Russian
Abstract: The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis) Statement includes a 22-item checklist, which aims to improve the reporting of studies developing, validating, or updating a prediction model, whether for diagnostic or prognostic purposes. The TRIPOD Statement aims to improve the transparency of the reporting of a prediction model study regardless of the study methods used. This explanation and elaboration document describes the rationale; clarifies the meaning of each item; and discusses why transparent reporting is important, with a view to assessing risk of bias and clinical usefulness of the prediction model. Each checklist item of the TRIPOD Statement is explained in detail and accompanied by published examples of good reporting. The document also provides a valuable reference of issues to consider when designing, conducting, and analyzing prediction model studies. To aid the editorial process and help peer reviewers and, ultimately, readers and systematic reviewers of prediction model studies, it is recommended that authors include a completed checklist in their submission. The TRIPOD checklist can also be downloaded from www.tripod-statement.org. © 2022, Eco-Vector LLC. All rights reserved.
Journal Title: Digital Diagnostics
Volume: 3
Issue: 3
ISSN: 2712-8490
Publisher: Eco-Vector  
Date Published: 2022-01-01
Start Page: 232
End Page: 322
Language: Russian
DOI: 10.17816/dd110794
PROVIDER: scopus
DOI/URL:
Notes: The English version of this article can be accessed at DOI: 10.7326/m14-0698 -- Source: Scopus
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  1. Andrew J Vickers
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