
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis ( TRIPOD ): the TRIPOD Statement
Author(s) -
Collins G. S.,
Reitsma J. B.,
Altman D. G.,
Moons K. G. M.
Publication year - 2015
Publication title -
british journal of surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.202
H-Index - 201
eISSN - 1365-2168
pISSN - 0007-1323
DOI - 10.1002/bjs.9736
Subject(s) - tripod (photography) , medicine , statement (logic) , checklist , psychology , physics , optics , cognitive psychology , political science , law
Prediction models are developed to aid healthcare providers in estimating the probability or risk that a specific disease or condition is present (diagnostic models) or that a specific event will occur in the future (prognostic models), to inform their decision-making. However, the overwhelming evidence shows that the quality of reporting of prediction model studies is poor. Only with full and clear reporting of information on all aspects of a prediction model can risk of bias and potential usefulness of prediction models be adequately assessed. The Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) Initiative developed a set of recommendations for the reporting of studies developing, validating or updating a prediction model, whether for diagnostic or prognostic purposes. This article describes how the TRIPOD Statement was developed.