Literature DB >> 25560730

Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration.

Karel G M Moons, Douglas G Altman, Johannes B Reitsma, John P A Ioannidis, Petra Macaskill, Ewout W Steyerberg, Andrew J Vickers, David F Ransohoff, Gary 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.

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Year:  2015        PMID: 25560730     DOI: 10.7326/M14-0698

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  977 in total

1.  Development and Validation of Risk Prediction Models for Cardiovascular Events in Black Adults: The Jackson Heart Study Cohort.

Authors:  Ervin R Fox; Tandaw E Samdarshi; Solomon K Musani; Michael J Pencina; Jung Hye Sung; Alain G Bertoni; Vanessa Xanthakis; Pelbreton C Balfour; Satya S Shreenivas; Carolyn Covington; Philip R Liebson; Daniel F Sarpong; Kenneth R Butler; Thomas H Mosley; Wayne D Rosamond; Aaron R Folsom; David M Herrington; Ramachandran S Vasan; Herman A Taylor
Journal:  JAMA Cardiol       Date:  2016-04-01       Impact factor: 14.676

2.  Refining Prognosis in Lung Cancer: A Report on the Quality and Relevance of Clinical Prognostic Tools.

Authors:  Alyson L Mahar; Carolyn Compton; Lisa M McShane; Susan Halabi; Hisao Asamura; Ramon Rami-Porta; Patti A Groome
Journal:  J Thorac Oncol       Date:  2015-11       Impact factor: 15.609

3.  An Official American Thoracic Society Research Statement: A Research Framework for Pulmonary Nodule Evaluation and Management.

Authors:  Christopher G Slatore; Nanda Horeweg; James R Jett; David E Midthun; Charles A Powell; Renda Soylemez Wiener; Juan P Wisnivesky; Michael K Gould
Journal:  Am J Respir Crit Care Med       Date:  2015-08-15       Impact factor: 21.405

4.  Development of a simplified multivariable model to predict neutropenic complications in cancer patients undergoing chemotherapy.

Authors:  Abolfazl Razzaghdoust; Bahram Mofid; Maryam Moghadam
Journal:  Support Care Cancer       Date:  2018-05-07       Impact factor: 3.603

5.  External validation and comparison of multiple prognostic scores in allogeneic hematopoietic stem cell transplantation.

Authors:  Roni Shouval; Joshua A Fein; Aniela Shouval; Ivetta Danylesko; Noga Shem-Tov; Maya Zlotnik; Ronit Yerushalmi; Avichai Shimoni; Arnon Nagler
Journal:  Blood Adv       Date:  2019-06-25

6.  Clinical Risk Factors and Prognostic Model for Primary Graft Dysfunction after Lung Transplantation in Patients with Pulmonary Hypertension.

Authors:  Mary K Porteous; James C Lee; David J Lederer; Scott M Palmer; Edward Cantu; Rupal J Shah; Scarlett L Bellamy; Vibha N Lama; Sangeeta M Bhorade; Maria M Crespo; John F McDyer; Keith M Wille; A Russell Localio; Jonathan B Orens; Pali D Shah; Ann B Weinacker; Selim Arcasoy; David S Wilkes; Lorraine B Ware; Jason D Christie; Steven M Kawut; Joshua M Diamond
Journal:  Ann Am Thorac Soc       Date:  2017-10

7.  Prediction of the postoperative 90-day mortality after acute colorectal cancer surgery: development and temporal validation of the ACORCA model.

Authors:  Thea Helene Degett; Jane Christensen; Susanne Oksbjerg Dalton; Kristine Bossen; Kirsten Frederiksen; Lene Hjerrild Iversen; Ismail Gögenur
Journal:  Int J Colorectal Dis       Date:  2021-05-12       Impact factor: 2.571

8.  Development and validation of a cardiovascular disease risk-prediction model using population health surveys: the Cardiovascular Disease Population Risk Tool (CVDPoRT).

Authors:  Douglas G Manuel; Meltem Tuna; Carol Bennett; Deirdre Hennessy; Laura Rosella; Claudia Sanmartin; Jack V Tu; Richard Perez; Stacey Fisher; Monica Taljaard
Journal:  CMAJ       Date:  2018-07-23       Impact factor: 8.262

9.  Simplified risk prediction indices do not accurately predict 30-day death or readmission after discharge following colorectal surgery.

Authors:  David G Brauer; Sarah A Lyons; Matthew R Keller; Matthew G Mutch; Graham A Colditz; Sean C Glasgow
Journal:  Surgery       Date:  2019-01-29       Impact factor: 3.982

10.  Phenotyping in Pediatric Traumatic Brain Injury.

Authors:  Michael A Carlisle; Tellen D Bennett
Journal:  Pediatr Crit Care Med       Date:  2018-10       Impact factor: 3.624

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