Problems of meta-analysis
Studies are often not similar in design, population
characteristics, etc.
If they are not similar in design, then they should
not be meta-analyzed.
If they are similar in design, they may have biases
in common.
Pooling the results of many small biased studies
gives you a biased result that is statistically
significant.
Impressive but bad science.