2. Be able to produce high-quality meta-analysis;
3. Be able to evaluate meta-analysis;
1, meta-analysis: meta-analysis is a statistical analysis method for single research results, which tests the sources of differences between research results and quantitatively synthesizes the results with sufficient similarity.
The process of quantitative comprehensive analysis of multiple studies on the same research topic includes: asking questions, searching relevant research literature, formulating inclusion and exclusion criteria, describing basic information, and quantitative statistical analysis.
2. Systematic evaluation: Systematic evaluation is a rigorous evaluation and synthesis of all relevant research on a specific issue by using the strategy of limiting bias. Meta-analysis may be, but it is not necessarily a necessary part of this process.
Aiming at a clinical problem, we systematically collect all published or unpublished clinical studies in the world, strictly evaluate the studies by using the principles and methods of epidemiological analysis, screen out the studies that meet the inclusion criteria, and conduct qualitative or quantitative comprehensive analysis (meta-analysis) to obtain reliable results.
System evaluation includes 1 and Cochrane system analysis.
? 2. Non-Cochrane system analysis
3. The relationship between meta-analysis and systematic evaluation: the analysis includes three levels (1976 British educator meta V.Class) 1 original analysis: the typical feature of the original meta-analysis in research is the use of statistical methods. Secondary analysis: Answer an original research question and reanalyze the original data in a better way. 3Meta-analysis: In order to integrate the research results, a large number of independent research results were collected for statistical analysis.
3. 1 Systematic review does not necessarily require statistical integration (i.e. meta-analysis) of the included studies.
3.2 Meta-analysis is mainly based on whether the included studies are similar enough.
3.3meta-analysis is not necessarily a systematic evaluation, because its essence is a statistical method.
3.4 A systematic review including meta-analysis of multiple homogeneous studies is called quantitative systematic review.
3.5 If it is impossible to conduct meta-analysis due to insufficient homogeneity, a systematic review that only conducts descriptive analysis is called quantitative systematic review, that is, meta-analysis is not adopted.
3.6 Simple meta-analysis belongs to the third level, and system evaluation without meta-analysis should belong to the second level.
The purpose of literature review is to provide a lot of new knowledge and information for a certain field and specialty, so that readers can understand the generalization and development methods of a special research in a short time and get a solution to a clinical problem.
Literature review classification 1, traditional literature review (narrative literature review) 2, systematic review (systematic review), published as works.
* * * Similarity: There may be systematic bias and random error in retrospective and observational research and evaluation.
Advantages of system analysis and meta-analysis.
Systematic evaluation should be based on the comprehensive collection of all relevant studies, strictly evaluate all the included studies one by one, comprehensively analyze and evaluate all the research results, and make meta-analysis when necessary, so as to draw as objective and prudent conclusions as possible, and provide scientific basis for health decision-making with minimum deviation and close to the truth.
Personal thinking: Meta-analysis similarity is a method in statistical analysis. When writing a summary paper, you can do qualitative analysis, that is, systematic analysis of similarity, or quantitative analysis, that is, meta-analysis. The review paper is a reanalysis based on a large number of existing documents without experiments. The experimental design and sample size of an experimental paper are limited, even individual cases, and meta-analysis is to draw a conclusion by integrating a large number of experimental papers of the same type, which makes the conclusion more valuable for popularization and application.