Erratum: How to derive and validate clinical prediction models for use in intensive care medicine (Intensive Care Medicine DOI: 10.1007/s00134-014-3227-6);How to derive and validate clinical prediction models for use in intensive care medicine

Intensive Care Medicine

Volumn 40, Issue 4, 2014, Pages 513-527

  Labarère, José ^a,b   Bertrand, Renaud ^c,d   Fine, Michael J ^e,f  

^a GRENOBLE UNIVERSITY HOSPITAL   (France)

^b LABORATOIRE TIMC IMAG   (France)

^c ASSISTANCE PUBLIQUE HÔPITAUX DE PARIS   (France)

^d UNIVERSITÉ PARIS DESCARTES   (France)

^e VETERANS AFFAIRS MEDICAL CENTER   (United States)

^f UNIVERSITY OF PITTSBURGH MEDICAL CENTER   (United States)

Author keywords

Clinical decision rule; Clinical prediction models; Intensive care; Prognosis; Severity of illness index

Indexed keywords

ARTICLE; BOOTSTRAPPING; CALIBRATION; CHECKLIST; CLINICAL DECISION MAKING; CLINICAL PRACTICE; HEALTH CARE DELIVERY; HUMAN; INTENSIVE CARE; INTENSIVIST; MATHEMATICAL MODEL; MEDICAL PRACTICE; MODEL; PHYSICIAN; PREDICTION; PROGNOSIS; QUANTITATIVE ANALYSIS; RANDOMIZED CONTROLLED TRIAL (TOPIC); SAMPLE SIZE; SEVERITY OF ILLNESS INDEX; STATISTICAL ANALYSIS; VALIDATION STUDY; FORECASTING; PROCEDURES; THEORETICAL MODEL;

CHECKLIST; FORECASTING; HUMANS; INTENSIVE CARE; MODELS, THEORETICAL; SEVERITY OF ILLNESS INDEX;

EID: 84898860060     PISSN: 03424642     EISSN: 14321238     Source Type: Journal    
DOI: 10.1007/s00134-014-3271-2     Document Type: Erratum

References (64)

1. Laupacis A, Sekar N, Stiell IG (1997) Clinical prediction rules. A review and suggested modifications of methodological standards. JAMA 277:488-494
2. Moons KG, Royston P, Vergouwe Y, Grobbee DE, Altman DG (2009) Prognosis and prognostic research: what, why, and how? BMJ 338:375
3. Steyerberg EW, Moons KG, van der Windt DA et al (2013) Prognosis Research Strategy (PROGRESS) 3: prognostic model research. PLoS Med 10:e1001381
4. Vincent JL, Moreno R (2010) Clinical review: scoring systems in the critically ill. Crit Care 14:207
5. Reilly BM, Evans AT (2006) Translating clinical research into clinical practice: impact of using prediction rules to make decisions. Ann Intern Med 144:201-209
6. Moons KG, Altman DG, Vergouwe Y, Royston P (2009) Prognosis and prognostic research: application and impact of prognostic models in clinical practice. BMJ 338:b606
7. Steyerberg EW (2009) Clinical prediction models: a practical approach to development, validation, and updating. Springer, New York
8. McGinn TG, Guyatt GH, Wyer PC et al (2000) Users' guides to the medical literature: XXII: how to use articles about clinical decision rules. Evidence-Based Medicine Working Group. JAMA 284:79-84
9. Royston P, Moons KG, Altman DG, Vergouwe Y (2009) Prognosis and prognostic research: developing a prognostic model. BMJ 338:b604
10. Altman DG, Vergouwe Y, Royston P, Moons KG (2009) Prognosis and prognostic research: validating a prognostic model. BMJ 338:b605
11. Wasson JH, Sox HC, Neff RK, Goldman L (1985) Clinical prediction rules. Applications and methodological standards. N Engl J Med 313:793-799
12. Moons KG, Kengne AP, Grobbee DE et al (2012) Risk prediction models: II. External validation, model updating, and impact assessment. Heart 98:691-698
13. Moons KG, Kengne AP, Woodward M et al (2012) Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker. Heart 98:683-690
14. Stiell IG, Wells GA (1999) Methodologic standards for the development of clinical decision rules in emergency medicine. Ann Emerg Med 33:437-447
15. Labarere J, Schuetz P, Renaud B et al (2012) Validation of a clinical prediction model for early admission to the intensive care unit of patients with pneumonia. Acad Emerg Med 19:993-1003
16. Renaud B, Labarere J, Coma E et al (2009) Risk stratification of early admission to the intensive care unit of patients with no major criteria of severe community-acquired pneumonia: development of an international prediction rule. Crit Care 13:R54
17. Guyatt GH (2006) Determining prognosis and creating clinical decision rules. In: Haynes RB, Sackett DL, Guyatt GH, Tugwell P (eds) Clinical epidemiology: how to do clinical practice research. Lippincott Williams & Wilkins, New York
18. Altman DG (2009) Prognostic models: a methodological framework and review of models for breast cancer. Cancer Invest 27:235-243
19. Randolph AG, Guyatt GH, Calvin JE, Doig G, Richardson WS (1998) Understanding articles describing clinical prediction tools. Evidence Based Medicine in Critical Care Group. Crit Care Med 26:1603-1612
20. Altman DG (1991) Practical statistics for medical research. Chapman & Hall/CRC, London
21. Aujesky D, Obrosky DS, Stone RA et al (2005) Derivation and validation of a prognostic model for pulmonary embolism. Am J Respir Crit Care Med 172:1041-1046
22. Fine MJ, Auble TE, Yealy DM et al (1997) A prediction rule to identify low-risk patients with community-acquired pneumonia. N Engl J Med 336:243-250
23. Royston P, Altman DG, Sauerbrei W (2006) Dichotomizing continuous predictors in multiple regression: a bad idea. Stat Med 25:127-141
24. Altman DG, Lausen B, Sauerbrei W, Schumacher M (1994) Dangers of using "optimal" cutpoints in the evaluation of prognostic factors. J Natl Cancer Inst 86:829-835
25. Steyerberg EW, Schemper M, Harrell FE (2011) Logistic regression modeling and the number of events per variable: selection bias dominates. J Clin Epidemiol 64:1464-1465 (author reply 1463-1464.)
26. Sauerbrei W, Royston P, Binder H (2007) Selection of important variables and determination of functional form for continuous predictors in multivariable model building. Stat Med 26:5512-5528
27. Harrell FE Jr (2001) Regression modelling strategies with applications to linear models, logistic regression, and survival analysis. Springer, New York
28. Vergouwe Y, Royston P, Moons KG, Altman DG (2010) Development and validation of a prediction model with missing predictor data: a practical approach. J Clin Epidemiol 63:205-214
29. Altman DG, Bland JM (2007) Missing data. BMJ 334:424
30. Groenwold RH, White IR, Donders AR et al (2012) Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis. CMAJ 184:1265-1269
31. Groenwold RH, Donders AR, Roes KC, Harrell FE Jr, Moons KG (2012) Dealing with missing outcome data in randomized trials and observational studies. Am J Epidemiol 175:210-217
32. Liublinska V, Rubin DB (2012) Re: "dealing with missing outcome data in randomized trials and observational studies". Am J Epidemiol 176:357-358
33. Janssen KJ, Donders AR, Harrell FE Jr et al (2010) Missing covariate data in medical research: to impute is better than to ignore. J Clin Epidemiol 63:721-727
34. Concato J, Feinstein AR, Holford TR (1993) The risk of determining risk with multivariable models. Ann Intern Med 118:201-210
35. Harrell FE Jr, Lee KL, Mark DB (1996) Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 15:361-387
36. Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR (1996) A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol 49:1373-1379
37. Courvoisier DS, Combescure C, Agoritsas T, Gayet-Ageron A, Perneger TV (2011) Performance of logistic regression modeling: beyond the number of events per variable, the role of data structure. J Clin Epidemiol 64:993-1000
38. Breiman L, Friedman JH, Olshen RA, Stone CJ (1984) Classification and regression trees. Chapman & Hall/CRC, New York
39. Marshall RJ (2001) The use of classification and regression trees in clinical epidemiology. J Clin Epidemiol 54:603-609
40. Sun GW, Shook TL, Kay GL (1996) Inappropriate use of bivariable analysis to screen risk factors for use in multivariable analysis. J Clin Epidemiol 49:907-916
41. Hosmer DW, Lemeshow S (2000) Applied logistic regression, 2nd edn. Wiley, New York
42. Sullivan LM, Massaro JM, D'Agostino RB Sr (2004) Presentation of multivariate data for clinical use: the Framingham Study risk score functions. Stat Med 23:1631-1660
43. Steyerberg EW, Vickers AJ, Cook NR et al (2010) Assessing the performance of prediction models: a framework for traditional and novel measures. Epidemiology 21:128-138
44. Rufibach K (2010) Use of Brier score to assess binary predictions. J Clin Epidemiol 63:938-939
45. Vergouwe Y, Steyerberg EW, Eijkemans MJ, Habbema JD (2005) Substantial effective sample sizes were required for external validation studies of predictive logistic regression models. J Clin Epidemiol 58:475-483
46. Justice AC, Covinsky KE, Berlin JA (1999) Assessing the generalizability of prognostic information. Ann Intern Med 130:515-524
47. Altman DG, Royston P (2000) What do we mean by validating a prognostic model? Stat Med 19:453-473
48. Steyerberg EW, Harrell FE Jr, Borsboom GJ et al (2001) Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol 54:774-781
49. Efron B, Tibshirani RJ (1993) An introduction to the bootstrap. Chapman & Hall/CRC, New York
50. Bleeker SE, Moll HA, Steyerberg EW et al (2003) External validation is necessary in prediction research: a clinical example. J Clin Epidemiol 56:826-832
51. Toll DB, Janssen KJ, Vergouwe Y, Moons KG (2008) Validation, updating and impact of clinical prediction rules: a review. J Clin Epidemiol 61:1085-1094
52. Peek N, Arts DG, Bosman RJ, van der Voort PH, de Keizer NF (2007) External validation of prognostic models for critically ill patients required substantial sample sizes. J Clin Epidemiol 60:491-501
53. Janssen KJ, Moons KG, Kalkman CJ, Grobbee DE, Vergouwe Y (2008) Updating methods improved the performance of a clinical prediction model in new patients. J Clin Epidemiol 61:76-86
54. Collins GS, Moons KG (2012) Comparing risk prediction models. BMJ 344:e3186
55. Campbell MK, Piaggio G, Elbourne DR, Altman DG (2012) Consort 2010 statement: extension to cluster randomised trials. BMJ 345:e5661
56. Donner A, Klar N (2000) Design and analysis of cluster randomized trials in health research. Arnold, London
57. Hussey MA, Hughes JP (2007) Design and analysis of stepped wedge cluster randomized trials. Contemp Clin Trials 28:182-191
58. Ramsay CR, Matowe L, Grilli R, Grimshaw JM, Thomas RE (2003) Interrupted time series designs in health technology assessment: lessons from two systematic reviews of behavior change strategies. Int J Technol Assess Health Care 19:613-623
59. von Elm E, Altman DG, Egger M et al (2007) The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Ann Intern Med 147:573-577
60. Renaud B, Santin A, Coma E et al (2009) Association between timing of intensive care unit admission and outcomes for emergency department patients with community-acquired pneumonia. Crit Care Med 37:2867-2874
61. Chalmers JD, Mandal P, Singanayagam A et al (2011) Severity assessment tools to guide ICU admission in community-acquired pneumonia: systematic review and meta-analysis. Intensive Care Med 37:1409-1420
62. Marti C, Garin N, Grosgurin O et al (2012) Prediction of severe community-acquired pneumonia: a systematic review and meta-analysis. Crit Care 16:R141
63. Ewig S, Woodhead M, Torres A (2011) Towards a sensible comprehension of severe community-acquired pneumonia. Intensive Care Med 37:214-223
64. Yealy DM, Auble TE, Stone RA et al (2005) Effect of increasing the intensity of implementing pneumonia guidelines: a randomized, controlled trial. Ann Intern Med 143:881-894