Methods Inf Med 2004; 43(05): 470-474
DOI: 10.1055/s-0038-1633900
Original Article
Schattauer GmbH

Some Problems with the Investigation of Noninferiority in Meta-analysis

S. Witte
1   University of Heidelberg, Department of Medical Biometry, Heidelberg, Germany
,
N. Victor
1   University of Heidelberg, Department of Medical Biometry, Heidelberg, Germany
› Author Affiliations
Further Information

Publication History

Publication Date:
05 February 2018 (online)

Summary

Objectives: Noninferiority trials have become commonplace in recent years. Like individual clinical trials, meta-analyses can also investigate noninferiority. However, certain important topics have to be considered.

Methods: The proposed methods in this paper have their origin in the framework of noninferiority trials and meta-analyses. This paper can therefore be seen as a combination of both fields. Two issues are highlighted in the paper; difficulties in the choice of delta for a noninferiority meta-analysis leading to different deltas and methods for meta-analyses with different analysis sets, based on the full-analysis set with the intention-to-treat principle or the per-protocol population. Analytical methods, sensitivity analyses, meta-regression, and a bivariate method are introduced. The proposed graphical presentations support the analytical results.

Conclusion: The confidence interval approach using meta-regression or bivariate methods is appropriate using both analysis sets for meta-analyses investigating noninferiority.

 
  • References

  • 1 Carroli G, Villar J, Piaggio G, Khan-Neelofur D, Gulmezoglu M, Mugford M. et al. WHO systematic review of randomised controlled trials of routine antenatal care. Lancet 2001; 357 9268 1565-70.
  • 2 Mismetti P, Laporte S, Darmon JY, Buchmuller A, Decousus H. Meta-analysis of low molecular weight heparin in the prevention of venous thromboembolism in general surgery. Br J Surg 2001; 88 (07) 913-30.
  • 3 Mendling W, Poli A, Magnani P. Clinical effects of nifuratel in vulvovaginal infections. A metaanalysis of metronidazole-controlled trials. Arzneimittelforschung 2002; 52 (10) 725-30.
  • 4 Whitehead A. Meta-Analysis of controlled clinical trials. 1 ed. Chichester: Wiley; 2002
  • 5 Victor N. On clinically relevant differences and shifted null hypotheses. Methods Inf Med 1987; 26 (03) 109-16.
  • 6 Ebbutt AF, Frith L. Practical issues in equivalence trials. Stat Med 1998; 17 15-16 1691-701.
  • 7 CPMP. Points to consider on the choice of non-inferiority margin. EMEA 2004; CPMP/EWP/ 2158/99 (draft): 1-12.
  • 8 Witte S. Meta-analytische Methoden für Äquivalenzfragestellungen [Dissertation]. University of Heidelberg. 2003
  • 9 The Cochrane Collaboration. Cochrane Reviewers Handbook. 4.2.2 ed. Oxford: Update Software; 2004
  • 10 Chalmers TC, Smith H, Blackburn B, Silverman B, Schroeder B, Reitmann D. et al. A method for assessing the quality of a randomized control trial. Controlled Clinical Trials 1981; 2: 31-49.
  • 11 Hadorn DC, Baker D, Hodges JS, Hicks N. Rating the quality of evidence for clinical practice guidelines. J Clin Epidemiol 1996; 49 (07) 749-54.
  • 12 Windeler J, Trampisch HJ. Empfehlungen zur Durchführung von Studien zur therapeutischen Äquivalenz. Inform Biom Epidemiol Med Biol 1995; 4: 350-5.
  • 13 Altman DG. Practical Statistics for Medical Research. 1 ed. London, New York, Tokyo, Melbourne, Madras: Chapman and Hall; 1991
  • 14 Senn S. Intention to treat. Statistical Issues in Drug Development. Chicester, New York, Winheim, Brisbane, Singapore, Toronto: John Wiley and Sons; 1997: 153-60.
  • 15 CPMP. Note for guidance on statistical principles for clinical trials. EMEA 1998; CPMP/ICH/ 363/96.
  • 16 Normand SLT. Tutorial in Biostatistics Meta- Analysis: Formulation, Evaluating, Combining, and Reporting. Statistics in medicine 1999; 18: 321-59.
  • 17 Van Houwelingen HC, Arends LR, Stijnen T. Advanced methods in meta-analysis: multivariate approach and meta- regression. Stat Med 2002; 21 (04) 589-624.