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ArtikelTransparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis ( TRIPOD ): the TRIPOD Statement  
Oleh: Collins, G.S. ; Reitsma, J.B. ; Altman, D. G. ; Moons, K. G. M.
Jenis: Article from Article - diterbitkan di jurnal ilmiah internasional
Dalam koleksi: BJS: British Journal of Surgery vol. 102 no. 03 (Feb. 2015), page 148-158.
Topik: TRIPOD; prediction model; diagnostic model; prognostic model
Fulltext: bjs9736.pdf (243.88KB)
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    • Nomor Panggil: B15.K
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Isi artikelBackground 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. Methods 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, healthcare 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. Results The resulting TRIPOD Statement is a checklist of 22 items, deemed essential for transparent reporting of a prediction model study. Conclusion The TRIPOD Statement aims to improve the transparency of the reporting of a prediction model study regardless of the study methods used.
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