The difference between systematic review and meta-analysis

The difference between systematic review and meta-analysis

What is a systematic review?

A systematic review is to comprehensively collect all relevant studies around the world, strictly evaluate all included studies one by one, combine all research results for comprehensive analysis and evaluation, and conduct Meta-analysis (a quantitative synthesis) when necessary. statistical methods), draw comprehensive conclusions (valid, invalid, should be further studied), and provide scientific evidence that minimizes bias and is close to reality.

What is meta analysis?

Meta-analysis is a statistical method first proposed by the psychologist Glass in 1976, and was first applied to the comprehensive quantification of multiple research results in the field of education research. Later, this Research methods are applied in the medical field and are increasingly valued. In the 1980s, 50 international magazines published various papers introducing or applying Meta analysis methods. Since the 1990s, thousands of papers on meta-analysis have been published, covering various fields of medical research, including etiology research, diagnostic tests, prevention and treatment evaluation, prognosis research, etc. The basis of meta-analysis is based on a comprehensive and systematic evaluation of the quality of literature research. Therefore, the academic community also calls a comprehensive and systematic evaluation of medical literature "system analysis". When specific statistical methods are used to quantitatively conduct System analysis is called Meta analysis.

Difference

Meta analysis is a statistical method that combines multiple similar studies with different results in a systematic review into one quantitative indicator.

Meta analysis is a kind of systematic review, and a systematic review can be a Meta analysis or not a Meta analysis.

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