jdc324
Muse
- Joined
- Feb 5, 2007
- Messages
- 581
I'm not sure I agree that "meta analysis is never a good methodology".Meta analysis is never a good methodology, it depends upon the methodology of the studies under it, often they have different controls and protocols. Good meta analysis has large sample groups and demographic controls and rule outs.
Now it is good way of looking at what studies might show.
I do take your point regarding inclusion/exclusion criteria for meta analyses though. I would point to Shang et al for an example of a meta analysis that included large studies with good methodologies: http://www.ncbi.nlm.nih.gov/pubmed/16125589
In both groups, smaller trials and those of lower quality showed more beneficial treatment effects than larger and higher-quality trials. When the analysis was restricted to large trials of higher quality, the odds ratio was 0.88 (95% CI 0.65-1.19) for homoeopathy (eight trials) and 0.58 (0.39-0.85) for conventional medicine (six trials).
Biases are present in placebo-controlled trials of both homoeopathy and conventional medicine. When account was taken for these biases in the analysis, there was weak evidence for a specific effect of homoeopathic remedies, but strong evidence for specific effects of conventional interventions. This finding is compatible with the notion that the clinical effects of homoeopathy are placebo effects.