Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD)

Letters19 May 2015Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD)Gary S. Collins, PhD, Johannes B. Reitsma, MD, PhD, Douglas G. Altman, DSc, and Karel G.M. Moons, PhDGary S. Collins, PhDFrom University of Oxford, Oxford, United Kingdom, and University Medical Center Utrecht, Utrecht, the Netherlands.Search for more papers by this author, Johannes B. Reitsma, MD, PhDFrom University of Oxford, Oxford, United Kingdom, and University Medical Center Utrecht, Utrecht, the Netherlands.Search for more papers by this author, Douglas G. Altman, DScFrom University of Oxford, Oxford, United Kingdom, and University Medical Center Utrecht, Utrecht, the Netherlands.Search for more papers by this author, and Karel G.M. Moons, PhDFrom University of Oxford, Oxford, United Kingdom, and University Medical Center Utrecht, Utrecht, the Netherlands.Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/L15-5093-2 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail IN RESPONSE:The Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) Statement concerns prediction models that are developed for diagnosis or prognosis. We believe that the additional type of prediction that Dr. Burke refers to as “risk prediction” is subsumed within the prognostic framework. Prognostic models as referred to in TRIPOD predict a certain health condition (such as death, a disease, a complication, a recurrent event, or any other outcome) over a specified period in participants at risk for this condition. Therefore, prognostic models may address ill or healthy persons, such as by predicting the ...References1. Moons KG, Altman DG, Reitsma JB, Ioannidis JP, Macaskill P, Steyerberg EW, et al. Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration. Ann Intern Med. 2015;162:W1-73. [PMID: 25560730] doi:10.7326/M14-0698 LinkGoogle Scholar2. McShane LM, Altman DG, Sauerbrei W, Taube SE, Gion M, Clark GM; Statistics Subcommittee of the NCI-EORTC Working Group on Cancer Diagnostics. Reporting recommendations for tumor marker prognostic studies (REMARK). J Natl Cancer Inst. 2005;97:1180-4. [PMID: 16106022] CrossrefMedlineGoogle Scholar Author, Article, and Disclosure InformationAffiliations: From University of Oxford, Oxford, United Kingdom, and University Medical Center Utrecht, Utrecht, the Netherlands.Disclosures: Authors have disclosed no conflicts of interest. Forms can be viewed at www.acponline.org/authors/icmje/ConflictOfInterest Forms.do?msNum=M14-0697. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoTransparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement Gary S. Collins , Johannes B. Reitsma , Douglas G. Altman , and Karel G.M. Moons Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement Gary S. Collins , Johannes B. Reitsma , Douglas G. Altman , and Karel G.M. Moons Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) Harry B. Burke Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) Harry B. 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