A bit OT, but there's a new article on problems/controversies with meta-analyses here. Includes tiny bits from Coyne and Tovey on COIs:
http://www.sciencemag.org/news/2018...scientific-debates-often-they-only-cause-more
I think that broader perspective is very useful.
Basically, meta-analyses were never very powerful. They are now probably completely misused and useless.
If you think about it, if individual studies are good enough there should be no need for any meta-analysis. And in the great majority of situations that is the case. In rheumatology I am not aware that a policy decision was ever affected by a meta-analysis, except possibly for preventive measures in osteoporosis, where the evidence is very marginal.
And that is the bottom line - meta-analyses are only relevant when the evidence is marginal. And the chances that the meta-analysis allows you to be sure what the answer really is is almost certainly close to zero.
For CBT and GET all you need to do is look at the published studies and see that none are good enough even to take notice of, in terms of positive evidence of efficacy. They may provide some quite useful negative evidence but there isn't enough there to think the treatments work so they should be dropped.
All these complicated procedures for trawling literature and comparing data are a complete waste of time and money. In the old days nobody even thought this was worth doing. The only reason these meta-analysis organisations exist is that decision makers want to get someone else to make the decisions for them.
So while it may be true that if there is a very difficult decision to make about whether a breast screening is cost effective Cochrane might have the wherewithal to gather all the evidence for one to analyse oneself (rather as Rothstein suggests) for most things there was never any need to bother - we all know the evidence is not good enough, or the trials are cut and dried. For drugs to be licensed the trials have to be pretty cut and dried so in most cases a portfolio of adequate evidence is already readily available.
What one should not do is, like Fiona Watt, use a Cochrane decision as surrogate evidence for quality.