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

Journal of Clinical Epidemiology

Volumn 68, Issue 2, 2015, Pages 112-121

  Collins, Gary S ^a   Reitsma, Johannes B ^b   Altman, Douglas G ^a   Moons, Karel G M ^b  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BOOTSTRAPPING; CHECKLIST; CLINICAL DECISION MAKING; CLINICAL PRACTICE; CONSENSUS; FUNDING; HUMAN; LOGISTIC REGRESSION ANALYSIS; MULTIVARIATE ANALYSIS; PRACTICE GUIDELINE; PREDICTION; PREDICTIVE VALUE; PRIORITY JOURNAL; PROPORTIONAL HAZARDS MODEL; PUBLICATION; QUALITY CONTROL; SECONDARY HEALTH CARE; STUDY DESIGN; SYSTEMATIC REVIEW (TOPIC); TRANSPARENT REPORTING OF A MULTIVARIABLE PREDICTION MODEL FOR INDIVIDUAL PROGNOSIS; VALIDATION STUDY; DECISION SUPPORT SYSTEM; HEALTH CARE DELIVERY; MEDICAL RECORD; PROGNOSIS; PUBLISHING; STANDARDS; STATISTICAL MODEL;

CONSENSUS; DECISION SUPPORT TECHNIQUES; DELIVERY OF HEALTH CARE; HUMANS; MEDICAL RECORDS; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; PRACTICE GUIDELINES AS TOPIC; PROGNOSIS; PUBLISHING;

EID: 84920579212     PISSN: 08954356     EISSN: 18785921     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2014.11.010     Document Type: Article

References (56)

1. K.G. Moons, P. Royston, Y. Vergouwe, D.E. Grobbee, and D.G. Altman Prognosis and prognostic research: what, why, and how? BMJ 338 2009 b375
2. E.W. Steyerberg Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating 2009 Springer New York
3. J.A. Dorresteijn, F.L. Visseren, P.M. Ridker, A.M. Wassink, N.P. Paynter, and E.W. Steyerberg Estimating treatment effects for individual patients based on the results of randomised clinical trials BMJ 343 2011 d5888
4. R.A. Hayward, D.M. Kent, S. Vijan, and T.P. Hofer Multivariable risk prediction can greatly enhance the statistical power of clinical trial subgroup analysis BMC Med Res Methodol 6 2006 18
5. R.D. Riley, J.A. Hayden, E.W. Steyerberg, K.G. Moons, K. Abrams, P.A. Kyzas PROGRESS Group Prognosis Research Strategy (PROGRESS) 2: prognostic factor research PLoS Med 10 2013 e1001380
6. E.W. Steyerberg, K.G. Moons, D.A. van der Windt, J.A. Hayden, P. Perel, S. Schroter PROGRESS Group Prognosis Research Strategy (PROGRESS) 3: prognostic model research PLoS Med 10 2013 e1001381
7. K.M. Anderson, P.M. Odell, P.W. Wilson, and W.B. Kannel Cardiovascular disease risk profiles Am Heart J 121 1 Pt 2 1991 293 298
8. I.G. Stiell, G.H. Greenberg, R.D. McKnight, R.C. Nair, I. McDowell, and J.R. Worthington A study to develop clinical decision rules for the use of radiography in acute ankle injuries Ann Emerg Med 21 1992 384 390
9. S.A. Nashef, F. Roques, P. Michel, E. Gauducheau, S. Lemeshow, and R. Salamon European system for cardiac operative risk evaluation (EuroSCORE) Eur J Cardiothorac Surg 16 1999 9 13
10. J.L. Haybittle, R.W. Blamey, C.W. Elston, J. Johnson, P.J. Doyle, and F.C. Campbell A prognostic index in primary breast cancer Br J Cancer 45 1982 361 366
11. J.R. Le Gall, P. Loirat, A. Alperovitch, P. Glaser, C. Granthil, and D. Mathieu A simplified acute physiology score for ICU patients Crit Care Med 12 1984 975 977
12. P. Royston, K.G. Moons, D.G. Altman, and Y. Vergouwe Prognosis and prognostic research: developing a prognostic model BMJ 338 2009 b604
13. K.G. Moons, A.P. Kengne, D.E. Grobbee, P. Royston, Y. Vergouwe, and D.G. Altman Risk prediction models: II. External validation, model updating, and impact assessment Heart 98 2012 691 698
14. D.G. Altman, Y. Vergouwe, P. Royston, and K.G. Moons Prognosis and prognostic research: validating a prognostic model BMJ 338 2009 b605
15. K.G. Moons, A.P. Kengne, M. Woodward, P. Royston, Y. Vergouwe, and D.G. Altman Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker Heart 98 2012 683 690
16. E.W. Steyerberg, F.E. Harrell, G.J.J.M. Borsboom, M.J.C. Eijkemans, Y. Vergouwe, and J.D.F. Habbema Internal validation of predictive models: efficiency of some procedures for logistic regression analysis J Clin Epidemiol 54 2001 774 781
17. A.C. Justice, K.E. Covinsky, and J.A. Berlin Assessing the generalizability of prognostic information Ann Intern Med 130 1999 515 524
18. E.W. Steyerberg, M.J. Pencina, H.F. Lingsma, M.W. Kattan, A.J. Vickers, and B. Van Calster Assessing the incremental value of diagnostic and prognostic markers: a review and illustration Eur J Clin Invest 42 2012 216 228
19. E.W. Steyerberg, S.E. Bleeker, H.A. Moll, D.E. Grobbee, and K.G. Moons Internal and external validation of predictive models: a simulation study of bias and precision in small samples J Clin Epidemiol 56 2003 441 447
20. E.W. Steyerberg, M.J. Eijkemans, and J.D. Habbema Application of shrinkage techniques in logistic regression analysis: a case study Stat Neerlandica 55 2001 76 88
21. B.M. Reilly, and A.T. Evans Translating clinical research into clinical practice: impact of using prediction rules to make decisions Ann Intern Med 144 2006 201 209
22. E. Wallace, S.M. Smith, R. Perera-Salazar, P. Vaucher, C. McCowan, G. Collins International Diagnostic and Prognosis Prediction (IDAPP) group Framework for the impact analysis and implementation of clinical prediction rules (CPRs) BMC Med Inform Decis Mak 11 2011 62
23. W. Bouwmeester, N.P. Zuithoff, S. Mallett, M.I. Geerlings, Y. Vergouwe, and E.W. Steyerberg Reporting and methods in clinical prediction research: a systematic review PLoS Med 9 2012 1 12
24. G.S. Collins, S. Mallett, O. Omar, and L.M. Yu Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting BMC Med 9 2011 103
25. G.S. Collins, O. Omar, M. Shanyinde, and L.M. Yu A systematic review finds prediction models for chronic kidney were poorly reported and often developed using inappropriate methods J Clin Epidemiol 66 2013 268 277
26. S. Mallett, P. Royston, S. Dutton, R. Waters, and D.G. Altman Reporting methods in studies developing prognostic models in cancer: a review BMC Med 8 2010 20
27. A. Laupacis, N. Sekar, and I.G. Stiell Clinical prediction rules. A review and suggested modifications of methodological standards JAMA 277 1997 488 494
28. G.S. Collins, J.A. de Groot, S. Dutton, O. Omar, M. Shanyinde, and A. Tajar External validation of multivariable prediction models: a systematic review of methodological conduct and reporting BMC Med Res Methodol 14 2014 40
29. R.G. Ettema, L.M. Peelen, M.J. Schuurmans, A.P. Nierich, C.J. Kalkman, and K.G. Moons Prediction models for prolonged intensive care unit stay after cardiac surgery: systematic review and validation study Circulation 122 2010 682 689
30. D.C. Goff, D.M. Lloyd-Jones, G. Bennett, S. Coady, R.B. D'Agostino, and R. Gibbons 2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines Circulation 129 2014 S49 S73
31. S. Rabar, R. Lau, N. O'Flynn, L. Li, P. Barry Guideline Development Group Risk assessment of fragility fractures: summary of NICE guidance BMJ 345 2012 e3698
32. C. Laine, S.N. Goodman, M.E. Griswold, and H.C. Sox Reproducible research: moving toward research the public can really trust Ann Intern Med 146 2007 450 453
33. G.C. Siontis, I. Tzoulaki, K.C. Siontis, and J.P. Ioannidis Comparisons of established risk prediction models for cardiovascular disease: systematic review BMJ 344 2012 e3318
34. R.T. Seel, E.W. Steyerberg, J.F. Malec, M. Sherer, and S.N. Macciocchi Developing and evaluating prediction models in rehabilitation populations Arch Phys Med Rehabil 93 8 Suppl 2012 S138 S153
35. G.S. Collins, and K.G. Moons Comparing risk prediction models BMJ 344 2012 e3186
36. J.A. Knottnerus Diagnostic prediction rules: principles, requirements and pitfalls Prim Care 22 1995 341 363
37. L.M. McShane, D.G. Altman, W. Sauerbrei, S.E. Taube, M. Gion, and G.M. Clark Statistics Subcommittee of the NCI-EORTC Working Group on Cancer Diagnostics. Reporting recommendations for tumor marker prognostic studies (REMARK) J Natl Cancer Inst 97 2005 1180 1184
38. K.G. Moons, D.G. Altman, Y. Vergouwe, and P. Royston Prognosis and prognostic research: application and impact of prognostic models in clinical practice BMJ 338 2009 b606
39. E. von Elm, D.G. Altman, M. Egger, S.J. Pocock, P.C. Gøtzsche, and J.P. Vandenbroucke STROBE Initiative. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies BMJ 335 2007 806 808
40. P.M. Bossuyt, J.B. Reitsma, D.E. Bruns, C.A. Gatsonis, P.P. Glasziou, L.M. Irwig Standards for Reporting of Diagnostic Accuracy Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD Initiative Radiology 226 2003 24 28
41. A.C. Janssens, J.P. Ioannidis, C.M. van Duijn, J. Little, M.J. Khoury GRIPS Group Strengthening the reporting of genetic risk prediction studies: the GRIPS statement Eur J Clin Invest 41 2011 1004 1009
42. I. Tzoulaki, G. Liberopoulos, and J.P. Ioannidis Use of reclassification for assessment of improved prediction: an empirical evaluation Int J Epidemiol 40 2011 1094 1105
43. K.G. Moons, D.G. Altman, J.B. Reitsma, J.P.A. Ioannidis, P. Macaskill, and E.W. Steyerberg Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration Ann Intern Med 162 2015 W1 W73
44. D. Moher, K.F. Schulz, I. Simera, and D.G. Altman Guidance for developers of health research reporting guidelines PLoS Med 16 2010 e1000217
45. J. Little, J.P. Higgins, J.P. Ioannidis, D. Moher, F. Gagnon, E. von Elm STrengthening the REporting of Genetic Association Studies STrengthening the REporting of Genetic Association Studies (STREGA): an extension of the STROBE statement PLoS Med 6 2009 e22
46. D. Moher, A. Liberati, J. Tetzlaff, D.G. Altman PRISMA Group Preferred reporting items for systematic reviews and meta-Analyses: the PRISMA statement Ann Intern Med 151 2009 264 269
47. A.C. Janssens, J.P. Ioannidis, S. Bedrosian, P. Boffetta, S.M. Dolan, and N. Dowling Strengthening the reporting of genetic risk prediction studies (GRIPS): explanation and elaboration Eur J Clin Invest 41 2011 1010 1035
48. D.G. Altman, L.M. McShane, W. Sauerbrei, and S.E. Taube Reporting recommendations for tumor marker prognostic studies (REMARK): explanation and elaboration BMC Med 10 2012 51
49. J.P. Vandenbroucke, E. von Elm, D.G. Altman, P.C. Gøtzsche, C.D. Mulrow, S.J. Pocock STROBE Initiative Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration Epidemiology 18 2007 805 835
50. G.S. Collins, and K. Michaëlsson Fracture risk assessment: state of the art, methodologically unsound, or poorly reported? Curr Osteoporos Rep 10 2012 199 207
51. T.L. Järvinen, J. Jokihaara, P. Guy, P. Alonso-Coello, G.S. Collins, and K. Michaëlsson Conflicts at the heart of the FRAX tool CMAJ 186 2014 165 167
52. K.G. Moons, J.A. de Groot, W. Bouwmeester, Y. Vergouwe, S. Mallett, and D.G. Altman Critical appraisal and data extraction for the systematic reviews of prediction modelling studies: the CHARMS checklist PLoS Med 11 2014 e1001744
53. R.J. Williams, T. Tse, W.R. Harlan, and D.A. Zarin Registration of observational studies: is it time? CMAJ 182 2010 1638 1642
54. H. Hemingway, R.D. Riley, and D.G. Altman Ten steps towards improving prognosis research BMJ 339 2009 b4184
55. Canadian CT Head and C-Spine (CCC) Study Group Canadian C-Spine Rule study for alert and stable trauma patients: I. Background and rationale CJEM 4 2002 84 90
56. Canadian CT Head and C-Spine (CCC) Study Group Canadian C-Spine Rule study for alert and stable trauma patients: II. Study objectives and methodology CJEM 4 2002 185 193