Sensitivity analyses allowed more appropriate and reliable meta-analysis conclusions for multiple outcomes when missing data was present

Journal of Clinical Epidemiology

Volumn 57, Issue 9, 2004, Pages 911-924

  Riley, Richard D ^a   Sutton, Alex J ^a   Abrams, Keith R ^a   Lambert, Paul C ^a  

^a UNIVERSITY OF LEICESTER   (United Kingdom)

Author keywords

Meta analysis; Multiple outcomes; Prognosis; Publication bias; Sensitivity analysis

Indexed keywords

CANCER RISK; CANCER SURVIVAL; CLINICAL TRIAL; CORRELATION ANALYSIS; DATA ANALYSIS; DISEASE MARKER; FEASIBILITY STUDY; HUMAN; INFORMATION PROCESSING; MEDICAL LITERATURE; META ANALYSIS; NEUROBLASTOMA; ONCOGENE MYC; OUTCOMES RESEARCH; PREDICTION; PRIORITY JOURNAL; PUBLISHING; RANDOMIZATION; RELIABILITY; REVIEW; RISK ASSESSMENT; SCREENING TEST; SENSITIVITY ANALYSIS; SYSTEMATIC REVIEW;

EID: 7044250891     PISSN: 08954356     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2004.01.018     Document Type: Article

References (29)

1. M. Egger Smith G. Davey D.G. Altman Systematic reviews in health care: meta-analysis in context 2001 BMJ Publishing Group London
2. J.L. Fleiss, and A.J. Gross Meta-analysis in epidemiology, with special reference to studies of the association between exposure to environmental tobacco smoke and lung cancer: a critique J Clin Epidemiol 44 1991 127 139
3. R.D. Riley, S.A. Burchill, K.R. Abrams, D. Heney, P.C. Lambert, D.R. Jones, A.J. Sutton, B. Young, A.J. Wailoo, and I.J. Lewis Systematic review and evaluation of the use of tumour markers in paediatric oncology: Ewing's sarcoma and neuroblastoma NHS Health Technol Assess 7 2003 1 162
4. A.J. Sutton, K.R. Abrams, and D.R. Jones Generalized synthesis of evidence and the threat of dissemination bias: the example of electronic fetal heart rate monitoring (EFM) J Clin Epidemiol 55 2002 1013 1024
5. M. Egger, K. Dickersin, and Smith G. Davey Problems and limitations in conducting systematic reviews M. Egger Smith G. Davey D.G. Altman Systematic reviews in health care: meta-analysis in context 2001 BMJ Publishing Group London 43 68
6. F. Song, A. Easterwood, S. Gilbody, L. Duley, and A.J. Sutton Publication and related biases Health Technol Assess 4 2000
7. S. Duval, and R. Tweedie Trim and Fill: a simple funnel plot based method of testing and adjusting for publication bias in meta-analysis Biometrics 56 2000 276 284
8. M. Egger, G.D. Smith, M. Schneider, and C. Minder Bias in meta-analysis detected by a simple, graphical test BMJ 315 1997 629 634
9. R.D. Riley, K.R. Abrams, A.J. Sutton, P.C. Lambert, D.R. Jones, D. Heney, and S.A. Burchill Reporting of prognostic markers: current problems and development of guidelines for evidence-based practice in the future Br J Cancer 88 2003 1191 1198
10. I.F. Tannock False-positive results in clinical trials: multiple significance tests and the problem of unreported comparisons J Natl Cancer Inst 88 1996 206 207
11. D. Moher, K.F. Schulz, and D.G. Altman The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomised trials Lancet 14 2001 357 1191-4
12. J. Copas What works? Selectivity models and meta-analysis JR Stat Soc A 162 1999 95 109
13. M.K.B. Parmar, V. Torri, and L. Stewart Extracting summary statistics to perform meta-analyses of the published literature for survival endpoints Stat Med 17 1998 2815 2834
14. D.G. Altman, and G.H. Lyman Methodological challenges in the evaluation of prognostic factors in breast cancer Breast Cancer Res Treat 52 1998 289 303
15. J.A.C. Sterne, M. Egger, and Smith G. Davey Systematic reviews in health care: Investigating and dealing with publication and other biases in meta-analysis BMJ 323 2001 101 105
16. P.C. Lambert, A.J. Sutton, K.R. Abrams, and D.R. Jones A comparison of summary patient-level covariates in meta-regression with individual patient data meta-analysis J Clin Epidemiol 55 2002 86 94
17. T.D. Pigott Methods for handling missing data in research synthesis H. Cooper L.V. Hedges The handbook of research synthesis.V Vol 4, no 10 2000 Russell Sage Foundation New York
18. H. Caron, P. van Sluis, J. de Kraker, J. Bokkerink, M. Egeler, G. Laureys, R. Slater, A. Westerveld, P.A. Voute, and R. Versteeg Allelic loss of chromosome 1p as a predictor of unfavorable outcome in patients with neuroblastoma N Engl J Med 334 1996 225 230
19. F. Berthold, K. Sahin, B. Hero, H. Christiansen, M. Gehring, D. Harms, S. Horz, F. Lampert, M. Schwab, and J. Terpe The current contribution of molecular factors to risk estimation in neuroblastoma patients Eur J Cancer 33 1997 2092 2097
20. M.L. Schmidt, J.N. Lukens, R.C. Seeger, G.M. Brodeur, H. Shimada, R.B. Gerbing, D.O. Stram, C. Perez, G.M. Haase, and K.K. Matthay Biologic factors determine prognosis in infants with stage IV neuroblastoma: a prospective Children's Cancer Group study J Clin Oncol 18 2000 1260 1268
21. L. Irwig, P. Macaskill, G. Berry, and P. Glasziou Graphical test is itself biased BMJ 316 1998 470 471
22. N. Terrin, C.H. Schmid, J. Lau, and I. Oikin Adjusting for publication bias in the presence of heterogeneity Stat Med 22 2003 2113 2126
23. D.G. Altman, B.L. De Stavola, S.B. Love, and K.A. Stepniewska Review of survival analyses published in cancer journals Br J Cancer 72 1995 511 518
24. H.C. Van Houwelingen, L.R. Arends, and T. Stijnen Advanced methods in meta-analysis: multivariate approach and meta-regression Stat Med 21 2002 589 624
25. S. Hahn, P.R. Williamson, J.L. Hutton, P. Garner, and E.V. Flynn Assessing the potential for bias in meta-analysis due to selective reporting of subgroup analyses within studies Stat Med 19 2000 3325 3336
26. J.L. Hutton, and P.R. Williamson Bias in meta-analysis due to outcome variable selection within studies Appl Stat 49 2000 359 370
27. K.R. Abrams, P.C. Lambert, B. Sanso, and C. Shaw Meta-analysis of heterogeneously reported study results: a Bayesian approach D.K. Stangl D.A. Berry Meta-analysis in medicine and health policy 2000 Marcel Dekker New York 29 64
28. D.G. Altman Systematic reviews of evaluations of prognostic variables BMJ 323 2001 224 228
29. L.A. Stewart, and M.J. Clarke Practical methodology of meta-analyses (overviews) using individual patient data. Cochrane Working Group Stat Med 14 1995 2057 2079