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Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration

Annals of Internal Medicine · 2015 · Vol. 162(1) · pp. W1–W73
Karel G.M. MoonsDouglas G. AltmanJohannes B. ReitsmaJohn P. A. IoannidisPetra MacaskillEwout W. SteyerbergAndrew J. VickersDavid F. RansohoffGary S. Collins

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.

Meta-analysis and systematic reviewsHealthcare cost, quality, practicesHealth Systems, Economic Evaluations, Quality of LifeTripod (photography)ChecklistStatement (logic)MedicineElaborationMultivariable calculusPsychologyCognitive psychology

MeSH terms

Decision Support TechniquesDiagnosisHumansPrognosisPublishingReproducibility of ResultsModels, StatisticalMultivariate AnalysisGuidelines as TopicChecklist

Funding

  • Cancer Research UK
  • National Institute for Health and Care Research
  • ZonMw
  • Medical Research Council
Citations
5,044
FWCI
151.00
field-weighted impact
References
534
Percentile
100%
vs. same field & year
Citations per year
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