Meta-analysis is analysing the analyses or re-analysing the underlying data.
Analysing the analyses:
Say you find 40 analyses of a demanding kind of kidney disease next to unequivocal results and different methods. Normally it is nearly impossible to interpret such a bunch, but meta-analysis reveals which research is methodologically sound and covers various more details, e.g. which research is about the largest or most relevant group of patients.
Now you can find conclusive evidence where on earth you couldn't before.
Re-analysing the underlying notes:
Research on patients is very costly so researchers repeatedly use small groups, which poses difficulties in reaching dependable conclusions
If a great deal of research is done on small groups from a fairly homogenous population of patients, you could attach up these groups to reach a statistically nouns conclusion even when none of the original research yield clear results because the groups were too small.
pooling separate studies together to create a larger population
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