PMID- 20837637 OWN - NLM STAT- MEDLINE DCOM- 20110908 LR - 20220316 IS - 1464-3685 (Electronic) IS - 0300-5771 (Linking) VI - 39 IP - 6 DP - 2010 Dec TI - Efficacy of experimental treatments compared with standard treatments in non-inferiority trials: a meta-analysis of randomized controlled trials. PG - 1567-81 LID - 10.1093/ije/dyq136 [doi] AB - BACKGROUND: There is concern that non-inferiority trials might be deliberately designed to conceal that a new treatment is less effective than a standard treatment. In order to test this hypothesis we performed a meta-analysis of non-inferiority trials to assess the average effect of experimental treatments compared with standard treatments. METHODS: One hundred and seventy non-inferiority treatment trials published in 121 core clinical journals were included. The trials were identified through a search of PubMed (1991 to 20 February 2009). Combined relative risk (RR) from meta-analysis comparing experimental with standard treatments was the main outcome measure. RESULTS: The 170 trials contributed a total of 175 independent comparisons of experimental with standard treatments. The combined RR for all 175 comparisons was 0.994 [95% confidence interval (CI) 0.978-1.010] using a random-effects model and 1.002 (95% CI 0.996-1.008) using a fixed-effects model. Of the 175 comparisons, experimental treatment was considered to be non-inferior in 130 (74%). The combined RR for these 130 comparisons was 0.995 (95% CI 0.983-1.006) and the point estimate favoured the experimental treatment in 58% (n = 76) and standard treatment in 42% (n = 54). The median non-inferiority margin (RR) pre-specified by trialists was 1.31 [inter-quartile range (IQR) 1.18-1.59]. CONCLUSION: In this meta-analysis of non-inferiority trials the average RR comparing experimental with standard treatments was close to 1. The experimental treatments that gain a verdict of non-inferiority in published trials do not appear to be systematically less effective than the standard treatments. Importantly, publication bias and bias in the design and reporting of the studies cannot be ruled out and may have skewed the study results in favour of the experimental treatments. Further studies are required to examine the importance of such bias. FAU - Soonawala, Darius AU - Soonawala D AD - Department of Clinical Epidemiology, Leiden University Medical Centre, RC Leiden, The Netherlands. d.soonawala@lumc.nl FAU - Middelburg, Rutger A AU - Middelburg RA FAU - Egger, Matthias AU - Egger M FAU - Vandenbroucke, Jan P AU - Vandenbroucke JP FAU - Dekkers, Olaf M AU - Dekkers OM LA - eng PT - Journal Article PT - Meta-Analysis DEP - 20100913 PL - England TA - Int J Epidemiol JT - International journal of epidemiology JID - 7802871 SB - IM CIN - Int J Epidemiol. 2010 Dec;39(6):1582-3. PMID: 21113051 MH - *Data Interpretation, Statistical MH - Drug Evaluation/*methods/*standards MH - Humans MH - Randomized Controlled Trials as Topic/*methods/standards MH - Regression Analysis MH - Research Design MH - Therapeutic Equivalency EDAT- 2010/09/15 06:00 MHDA- 2011/09/09 06:00 CRDT- 2010/09/15 06:00 PHST- 2010/09/15 06:00 [entrez] PHST- 2010/09/15 06:00 [pubmed] PHST- 2011/09/09 06:00 [medline] AID - dyq136 [pii] AID - 10.1093/ije/dyq136 [doi] PST - ppublish SO - Int J Epidemiol. 2010 Dec;39(6):1567-81. doi: 10.1093/ije/dyq136. Epub 2010 Sep 13.