Using network meta-analysis to evaluate the existence of small-study effects in a network of interventions

Research Synthesis Methods

Volumn 3, Issue 2, 2012, Pages 161-176

  Chaimani, Anna ^a   Salanti, Georgia ^a  

^a UNIVERSITY OF IOANNINA   (Greece)

Author keywords

funnel plot; optimism bias; publication bias; selective reporting bias; sponsorship bias

Indexed keywords

EID: 84880287328     PISSN: None     EISSN: 17592887     Source Type: Journal    
DOI: 10.1002/jrsm.57     Document Type: Conference Paper

References (34)

1. Borenstein M, Hedges LV, Higgins JPT, Rothstein HR. 2009. Introduction to Meta-Analysis. Wiley: West Sussex, UK.
2. Bucher HC, Guyatt GH, Griffith EL, Walter SD. 1997. The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials. Journal of Clinical Epidemiology 50(6): 683–691.
3. Carpenter JR, Schwarzer G, Rucker G, Kunstler R. 2009. Empirical evaluation showed that the Copas selection model provided a useful summary in 80% of meta-analyses. Journal of Clinical Epidemiology 62(6): 624–631.
4. Chootrakool H, Shi JQ, Yue R. 2011. Meta-analysis and sensitivity analysis for multi-arm trials with selection bias. Statistics in Medicine 30: 1183–1198.
5. Cipriani A, Furukawa TA, Salanti G, Geddes JR, Higgins JP, Churchill R, Watanabe N, Nakagawa A, Omori IM, McGuire H, Tansella M, Barbui C. 2009. Comparative efficacy and acceptability of 12 new-generation antidepressants: a multiple-treatments meta-analysis. Lancet 373(9665): 746–758.
6. Cooper NJ, Sutton AJ, Morris D, Ades AE, Welton NJ. 2009. Addressing between-study heterogeneity and inconsistency in mixed treatment comparisons: application to stroke prevention treatments in individuals with non-rheumatic atrial fibrillation. Statistics in Medicine 28(14): 1861–1881.
7. Copas J, Shi JQ. 2000. Meta-analysis, funnel plots and sensitivity analysis. Biostatistics 1(3): 247–262.
8. Copas JB, Shi JQ. 2001. A sensitivity analysis for publication bias in systematic reviews. Statistical Methods in Medical Research 10(4): 251–265.
9. Dias S, Welton NJ, Ades AE. 2010a. Study designs to detect sponsorship and other biases in systematic reviews. Journal of Clinical Epidemiology 63(6): 587–588.
10. Dias S, Welton NJ, Marinho VCC, Salanti G, Higgins JPT, Ades AE. 2010b. Estimation and adjustment of bias in randomized evidence by using mixed treatment comparison meta-analysis. Journal of the Royal Statistical Society: Series A 173(Part 3): 613–629.
11. Elliott WJ, Meyer PM. 2007. Incident diabetes in clinical trials of antihypertensive drugs: a network meta-analysis. Lancet 369(9557): 201–207.
12. Harbord RM, Egger M, Sterne JA. 2006. A modified test for small-study effects in meta-analyses of controlled trials with binary endpoints. Statistics in Medicine 25(20): 3443–3457.
13. Higgins JPT, Green S. 2008. Cochrane Handbook for Systematic Reviews of Interventions, 5.0.1. ed. The Cochrane Collaboration, Wiley: West Sussex, UK.
14. Lindholm LH, Persson M, Alaupovic P, Carlberg B, Svensson A, Samuelsson O. 2003. Metabolic outcome during 1 year in newly detected hypertensives: results of the Antihypertensive Treatment and Lipid Profile in a North of Sweden Efficacy Evaluation (ALPINE study). Journal of Hypertension 21(8): 1563–1574.
15. Lunn DJ, Thomas A, Best N, Spiegelhalter DJ. 2000. WinBUGS—a Bayesian modelling framework: concepts, structure, and extensibility. Statistics and Computing 10: 325–337.
16. Moreno SG, Sutton AJ, Ades AE, Stanley TD, Abrams KR, Peters JL, Cooper NJ. 2009. Assessment of regression-based methods to adjust for publication bias through a comprehensive simulation study. BMC Medical Research Methodology 9: 2.
17. Moreno SG, Sutton AJ, Ades AE, Cooper NJ, Abrams KR. 2011. Adjusting for publication biases across similar interventions performed well when compared with gold standard data. Journal of Clinical Epidemiology 64(11): 1230–1241
18. Peters JL, Sutton AJ, Jones DR, Abrams KR, Rushton L. 2006. Comparison of two methods to detect publication bias in meta-analysis. Journal of the American Medical Association 295(6): 676–680.
19. Peters JL, Sutton AJ, Jones DR, Abrams KR, Rushton L. 2008. Contour-enhanced meta-analysis funnel plots help distinguish publication bias from other causes of asymmetry. Journal of Clinical Epidemiology 61(10): 991–996.
20. Peters JL, Sutton AJ, Jones DR, Abrams KR. 2010. Assessing publication bias in meta-analyses in the presence of between-study heterogeneity. Journal of the Royal Statistical Society: Series A 173(Part 3) 575–591.
21. Psaty BM, Lumley T, Furberg CD, Schellenbaum G, Pahor M, Alderman MH, et al. 2003. Health outcomes associated with various antihypertensive therapies used as first-line agents: a network meta-analysis. Journal of the American Medical Association 289(19): 2534–44.
22. Rucker G, Schwarzer G, Carpenter J. 2008. Arcsine test for publication bias in meta-analyses with binary outcomes. Statistics in Medicine 27(5): 746–763.
23. Rucker G, Carpenter JR, Schwarzer G. 2011. Detecting and adjusting for small-study effects in meta-analysis. Biometrical Journal 53(2): 351–368.
24. Salanti G, Marihno V, Higgins JPT. 2009. A case study of multiple-treatment meta-analysis demostrates that covariates should be considered. Journal of Clinical Epidemiology 62(8): 857–64.
25. Salanti G, Dias S, Welton NJ, Ades AE, Golfinopoulos V, Kyrgiou M, Mauri D, Ioannidis JP. 2010. Evaluating novel agent effects in multiple-treatments meta-regression. Statistics in Medicine 29(23): 2369–2383.
26. Schwarzer G, Carpenter J, Rucker G. 2010. Empirical evaluation suggests Copas selection model preferable to trim-and-fill method for selection bias in meta-analysis. Journal of Clinical Epidemiology 63(3): 282–288.
27. Sharp SJ, Thompson SG. 2000. Analysing the relationship between treatment effect and underlying risk in meta-analysis: comparison and development of approaches. Statistics in Medicine 19(23): 3251–3274.
28. Song F, Harvey I, Lilford R. 2008. Adjusted indirect comparison may be less biased than direct comparison for evaluating new pharmaceutical interventions. Journal of Clinical Epidemiology 61(5): 455–463.
29. Spiegelhalter DJ, Best NG, Carlin BP, Van der Linde A. 2002. Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society: Series B 64(Part 4): 583–639.
30. Sterne JA, Gavaghan D, Egger M. 2000. Publication and related bias in meta-analysis: power of statistical tests and prevalence in the literature. Journal of Clinical Epidemiology 53(11): 1119–1129.
31. Sutton AJ, Song F, Gilbody SM, Abrams KR. 2000. Modelling publication bias in meta-analysis: a review. Statistical Methods in Medical Research 9(5): 421–445.
32. Terrin N, Schmid CH, Lau J, Olkin I. 2003. Adjusting for publication bias in the presence of heterogeneity. Statistics in Medicine 22(13): 2113–2126.
33. Thompson SG, Sharp SJ. 1999. Explaining heterogeneity in meta-analysis: a comparison of methods. Statistics in Medicine 18(20): 2693–2708.
34. Thompson SG, Smith TC, Sharp SJ. 1997. Investigating underlying risk as a source of heterogeneity in meta-analysis. Statistics in Medicine 16(23): 2741–2758.