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Reference: Collins, GS, Reitsma, JB, Altman, DG et al., (2015). Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD) : the TRIPOD statement. British Journal of Cancer, 112 (2), 251-259.Citable link to this page:

 

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD) : the TRIPOD statement

Abstract: Prediction models are developed to aid health-care 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. An extensive list of items based on a review of the literature was created, which was reduced after a Web-based survey and revised during a 3-day meeting in June 2011 with methodologists, health-care professionals, and journal editors. The list was refined during several meetings of the steering group and in e-mail discussions with the wider group of TRIPOD contributors. The resulting TRIPOD Statement is a checklist of 22 items, deemed essential for transparent reporting of a prediction model study. The TRIPOD Statement aims to improve the transparency of the reporting of a prediction model study regardless of the study methods used. The TRIPOD Statement is best used in conjunction with the TRIPOD explanation and elaboration document. To aid the editorial process and readers of prediction model studies, it is recommended that authors include a completed checklist in their submission (also available at www.tripod-statement.org).

Peer Review status:Peer reviewedPublication status:PublishedVersion:Publisher's version Funder: Cancer Research UK   Funder: Netherlands Organization for Scientific Research   Notes:Copyright © 2015 Cancer Research UK. All rights reserved 0007 – 0920/15. Thisworkislicensed under theCreativeCommonsAttribution 4.0 International License. To view acopy of this license, visit http://creativecommons.org/licenses/by/4.0/

Bibliographic Details

Publisher: Nature Publishing Group

Publisher Website: http://www.nature.com/npg/

Journal: British Journal of Cancersee more from them

Publication Website: http://www.nature.com/bjc/

Issue Date: 2015-1-6

pages:251-259Identifiers

Urn: uuid:e3ab5fd7-3999-4310-adad-644ff8b5f7f7

Source identifier: 503428

Eissn: 1532-1827

Doi: https://doi.org/10.1038/bjc.2014.639

Issn: 0007-0920 Item Description

Type: Journal article;

Language: eng

Version: Publisher's versionKeywords: prediction models diagnostic prognostic model development model validation transparent reporting Tiny URL: pubs:503428

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Author: Collins, GS - institutionUniversity of Oxford Oxford, MSD, NDORMS grantNumberG1100513 fundingMedical Research Council - - - Reits

Source: https://ora.ox.ac.uk/objects/uuid:e3ab5fd7-3999-4310-adad-644ff8b5f7f7



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