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

Annals of Internal Medicine

Volumn 162, Issue 1, 2015, Pages 55-63

  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; CLINICAL DECISION MAKING; DIAGNOSIS; EUROSCORE; FRAMINGHAM RISK SCORE; HEALTH CARE PERSONNEL; HUMAN; MODEL; NOTTINGHAM PROGNOSTIC INDICATOR; PRACTICE GUIDELINE; PREDICTION; PRIORITY JOURNAL; PROGNOSIS; QUALITY CONTROL; SIMPLIFIED ACUTE PHYSIOLOGY SCORE; CHECKLIST; CONSENSUS DEVELOPMENT; DECISION SUPPORT SYSTEM; MULTIVARIATE ANALYSIS; PUBLISHING; STANDARDS; STATISTICAL MODEL;

CHECKLIST; DECISION SUPPORT TECHNIQUES; DIAGNOSIS; HUMANS; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; PROGNOSIS; PUBLISHING;

EID: 84923923813     PISSN: 00034819     EISSN: 15393704     Source Type: Journal    
DOI: 10.7326/M14-0697     Document Type: Article

References (56)

1. Moons KG, Royston P, Vergouwe Y, Grobbee DE, Altman DG. Prognosis and prognostic research: what, why, and how? BMJ. 2009; 338:b375. [PMID: 19237405]
2. Steyerberg EW. Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating. New York: Springer; 2009.
3. Dorresteijn JA, Visseren FL, Ridker PM, Wassink AM, Paynter NP, Steyerberg EW, et al. Estimating treatment effects for individual patients based on the results of randomised clinical trials. BMJ. 2011; 343:d5888. [PMID: 21968126]
4. Hayward RA, Kent DM, Vijan S, Hofer TP. Multivariable risk prediction can greatly enhance the statistical power of clinical trial subgroup analysis. BMC Med Res Methodol. 2006;6:18. [PMID: 16613605]
5. Riley RD, Hayden JA, Steyerberg EW, Moons KG, Abrams K, Kyzas PA, et al; PROGRESS Group. Prognosis Research Strategy (PROGRESS) 2: prognostic factor research. PLoS Med. 2013;10: e1001380. [PMID: 23393429]
6. Steyerberg EW, Moons KG, van der Windt DA, Hayden JA, Perel P, Schroter S, et al; PROGRESS Group. Prognosis Research Strategy (PROGRESS) 3: prognostic model research. PLoS Med. 2013;10: e1001381. [PMID: 23393430]
7. Anderson KM, Odell PM, Wilson PW, Kannel WB. Cardiovascular disease risk profiles. Am Heart J. 1991;121(1 Pt 2):293-8. [PMID: 1985385]
8. Stiell IG, Greenberg GH, McKnight RD, Nair RC, McDowell I, Worthington JR. A study to develop clinical decision rules for the use of radiography in acute ankle injuries. Ann Emerg Med. 1992;21:384-90. [PMID: 1554175]
9. Nashef SA, Roques F, Michel P, Gauducheau E, Lemeshow S, Salamon R. European system for cardiac operative risk evaluation (Euro-SCORE). Eur J Cardiothorac Surg. 1999;16:9-13. [PMID: 10456395]
10. Haybittle JL, Blamey RW, Elston CW, Johnson J, Doyle PJ, Campbell FC, et al. A prognostic index in primary breast cancer. Br J Cancer. 1982;45:361-6. [PMID: 7073932]
11. Le Gall JR, Loirat P, Alperovitch A, Glaser P, Granthil C, Mathieu D, et al. A simplified acute physiology score for ICU patients. Crit Care Med. 1984;12:975-7. [PMID: 6499483]
12. Royston P, Moons KG, Altman DG, Vergouwe Y. Prognosis and prognostic research: developing a prognostic model. BMJ. 2009; 338:b604. [PMID: 19336487]
13. Moons KG, Kengne AP, Grobbee DE, Royston P, Vergouwe Y, Altman DG, et al. Risk prediction models: II. External validation, model updating, and impact assessment. Heart. 2012;98:691-8. [PMID: 22397946]
14. Altman DG, Vergouwe Y, Royston P, Moons KG. Prognosis and prognostic research: validating a prognostic model. BMJ. 2009;338: b605. [PMID: 19477892]
15. Moons KG, Kengne AP, Woodward M, Royston P, Vergouwe Y, Altman DG, et al. Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker. Heart. 2012;98:683-90. [PMID: 22397945]
16. Steyerberg EW, Harrell FE, Borsboom GJJM, Eijkemans MJC, Vergouwe Y, Habbema JDF. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol. 2001;54:774-81. [PMID: 11470385]
17. Justice AC, Covinsky KE, Berlin JA. Assessing the generalizability of prognostic information. Ann Intern Med. 1999;130:515-24. [PMID: 10075620]
18. Steyerberg EW, Pencina MJ, Lingsma HF, Kattan MW, Vickers AJ, Van Calster B. Assessing the incremental value of diagnostic and prognostic markers: a review and illustration. Eur J Clin Invest. 2012; 42:216-28. [PMID: 21726217]
19. Steyerberg EW, Bleeker SE, Moll HA, Grobbee DE, Moons KG. Internal and external validation of predictive models: a simulation study of bias and precision in small samples. J Clin Epidemiol. 2003; 56:441-7. [PMID: 12812818]
20. Steyerberg EW, Eijkemans MJ, Habbema JD. Application of shrinkage techniques in logistic regression analysis: a case study. Statistica Neerlandica. 2001;55:76-88.
21. Reilly BM, Evans AT. Translating clinical research into clinical practice: impact of using prediction rules to make decisions. Ann Intern Med. 2006;144:201-9. [PMID: 16461965]
22. Wallace E, Smith SM, Perera-Salazar R, Vaucher P, McCowan C, Collins G, et al; International Diagnostic and Prognosis Prediction (IDAPP) group. Framework for the impact analysis and implementation of clinical prediction rules (CPRs). BMC Med Inform Decis Mak. 2011;11:62. [PMID: 21999201]
23. Bouwmeester W, Zuithoff NP, Mallett S, Geerlings MI, Vergouwe Y, Steyerberg EW, et al. Reporting and methods in clinical prediction research: a systematic review. PLoS Med. 2012;9:1-12. [PMID: 22629234]
24. Collins GS, Mallett S, Omar O, Yu LM. Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting. BMC Med. 2011;9:103. [PMID: 21902820]
25. Collins GS, Omar O, Shanyinde M, Yu LM. A systematic review finds prediction models for chronic kidney were poorly reported and often developed using inappropriate methods. J Clin Epidemiol. 2013;66:268-77. [PMID: 23116690]
26. Mallett S, Royston P, Dutton S, Waters R, Altman DG. Reporting methods in studies developing prognostic models in cancer: a review. BMC Med. 2010;8:20. [PMID: 20353578]
27. Laupacis A, Sekar N, Stiell IG. Clinical prediction rules. A review and suggested modifications of methodological standards. JAMA. 1997;277:488-94. [PMID: 9020274]
28. Collins GS, de Groot JA, Dutton S, Omar O, Shanyinde M, Tajar A, et al. External validation of multivariable prediction models: a systematic review of methodological conduct and reporting. BMC Med Res Methodol. 2014;14:40. [PMID: 24645774]
29. Ettema RG, Peelen LM, Schuurmans MJ, Nierich AP, Kalkman CJ, Moons KG. Prediction models for prolonged intensive care unit stay after cardiac surgery: systematic review and validation study. Circulation. 2010;122:682-9. [PMID: 20679549]
30. Goff DC, Lloyd-Jones DM, Bennett G, Coady S, D'Agostino RB, Gibbons R, et al. 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. 2014;129:S49-73. [PMID: 24222018]
31. Rabar S, Lau R, O'Flynn N, Li L, Barry P; Guideline Development Group. Risk assessment of fragility fractures: summary of NICE guidance. BMJ. 2012;345:e3698. [PMID: 22875946]
32. Laine C, Goodman SN, Griswold ME, Sox HC. Reproducible research: moving toward research the public can really trust. Ann Intern Med. 2007;146:450-3. [PMID: 17339612]
33. Siontis GC, Tzoulaki I, Siontis KC, Ioannidis JP. Comparisons of established risk prediction models for cardiovascular disease: systematic review. BMJ. 2012;344:e3318. [PMID: 22628003]
34. Seel RT, Steyerberg EW, Malec JF, Sherer M, Macciocchi SN. Developing and evaluating prediction models in rehabilitation populations. Arch Phys Med Rehabil. 2012;93(8 Suppl):S138-53. [PMID: 22840880]
35. Collins GS, Moons KG. Comparing risk prediction models. BMJ. 2012;344:e3186. [PMID: 22628131]
36. Knottnerus JA. Diagnostic prediction rules: principles, requirements and pitfalls. Prim Care. 1995;22:341-63. [PMID: 7617791]
37. 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]
38. Moons KG, Altman DG, Vergouwe Y, Royston P. Prognosis and prognostic research: application and impact of prognostic models in clinical practice. BMJ. 2009;338:b606. [PMID: 19502216]
39. von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP; STROBE Initiative. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. BMJ. 2007;335:806-8. [PMID: 17947786]
40. Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig LM, et al; Standards for Reporting of Diagnostic Accuracy. Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD Initiative. Radiology. 2003;226:24-8. [PMID: 12511664]
41. Janssens AC, Ioannidis JP, van Duijn CM, Little J, Khoury MJ; GRIPS Group. Strengthening the reporting of genetic risk prediction studies: the GRIPS statement. Eur J Clin Invest. 2011;41:1004-9. [PMID: 21434891]
42. Tzoulaki I, Liberopoulos G, Ioannidis JP. Use of reclassification for assessment of improved prediction: an empirical evaluation. Int J Epidemiol. 2011;40:1094-105. [PMID: 21325392]
43. Moons KG, Altman DG, Reitsma JB, Ioannidis JP, Macaskill P, Steyerberg EW, et al
44. Moher D, Schulz KF, Simera I, Altman DG. Guidance for developers of health research reporting guidelines. PLoS Med. 2010;16: e1000217. [PMID: 20169112]
45. Little J, Higgins JP, Ioannidis JP, Moher D, Gagnon F, von Elm E, et al; STrengthening the REporting of Genetic Association Studies. STrengthening the REporting of Genetic Association Studies (STREGA): an extension of the STROBE statement. PLoS Med. 2009; 6:e22. [PMID: 19192942]
46. Moher D, Liberati A, Tetzlaff J, Altman DG; PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med. 2009;151:264-9. [PMID: 19622511]
47. Janssens AC, Ioannidis JP, Bedrosian S, Boffetta P, Dolan SM, Dowling N, et al. Strengthening the reporting of genetic risk prediction studies (GRIPS): explanation and elaboration. Eur J Clin Invest. 2011;41:1010-35. [PMID: 21434890]
48. Altman DG, McShane LM, Sauerbrei W, Taube SE. Reporting recommendations for tumor marker prognostic studies (REMARK): explanation and elaboration. BMC Med. 2012;10:51. [PMID: 22642691]
49. Vandenbroucke JP, von Elm E, Altman DG, Gøtzsche PC, Mulrow CD, Pocock SJ, et al; STROBE Initiative. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration. Epidemiology. 2007;18:805-35. [PMID: 18049195]
50. Collins GS, Michaëlsson K. Fracture risk assessment: state of the art, methodologically unsound, or poorly reported? Curr Osteoporos Rep. 2012;10:199-207. [PMID: 22688862]
51. Järvinen TL, Jokihaara J, Guy P, Alonso-Coello P, Collins GS, Michaëlsson K, et al. Conflicts at the heart of the FRAX tool. CMAJ. 2014;186:165-7. [PMID: 24366895]
52. Moons KG, de Groot JA, Bouwmeester W, Vergouwe Y, Mallett S, Altman DG, et al. Critical appraisal and data extraction for the systematic reviews of prediction modelling studies: the CHARMS checklist. PLoS Med. 2014;11:e1001744. [PMID: 25314315]
53. Williams RJ, Tse T, Harlan WR, Zarin DA. Registration of observational studies: is it time? CMAJ. 2010;182:1638-42. [PMID: 20643833]
54. Hemingway H, Riley RD, Altman DG. Ten steps towards improving prognosis research. BMJ. 2009;339:b4184. [PMID: 20042483]
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. 2002;4:84-90. [PMID: 17612425]
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. 2002;4:185-93. [PMID: 17609004]