1, medical element

It refers to the analysis and summary of collected research data by statistical methods to provide a quantitative average effect to answer the medical questions studied. Meta-analysis is a systematic and quantitative comprehensive analysis of the results of several independent studies on the same topic.

Meta-analysis is a quantitative review of the literature, taking the results of several independent studies on the same subject as the research object, and on the basis of strict design, using appropriate statistical methods, making a systematic, objective and quantitative comprehensive analysis of the results of several studies.

2. Advantages of medical meta-analysis.

(1) can evaluate the consistency of multiple research results in the same discipline.

(2) Systematically evaluate and summarize many research results of the same subject.

(3) Put forward some new research questions to point out the direction for further research.

(4) Meta-analysis is a choice when it is limited by certain conditions, such as time or research object.

(5) From the perspective of methodology, evaluate the research design of a topic at this stage.

Content of meta-analysis:

1. Heterogeneity analysis and statistical consistency test of multiple independent studies

Heterogeneity test is an important part of meta-analysis. Q test is often used to determine whether the heterogeneity of multiple independent studies is statistically significant. It is generally believed that when P> is 0. 1, the results of independent research are consistent.

2. Calculation of comprehensive effect value

The choice of effect value is usually determined according to the nature of clinical research and the type of data. There are two statistical models commonly used in meta-analysis of combined effect values: fixed effect model and random effect model.

When multiple studies are homogeneous, the fixed effect model is adopted; When multiple studies are heterogeneous, analyze and deal with the causes of heterogeneity, such as subgroup analysis. If the heterogeneity cannot be solved after analysis and treatment, the comprehensive effect value can be calculated by using random effect model.

3. Inspection of the value of merger effect

Hypothetical test is carried out on the merger effect value to test whether the merger effect value of several similar studies is statistically significant.