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A systematic review is an article that synthesizes available evidence on a certain topic utilizing a specific research question, pre-specified eligibility criteria for including articles, and a systematic method for its production. Whereas a meta-analysis is a quantitative, epidemiological study design used to assess the results of articles ...
A systematic review collects all possible studies related to a given topic and design, and reviews and analyzes their results [1]. During the systematic review process, the quality of studies is evaluated, and a statistical meta-analysis of the study results is conducted on the basis of their quality. A meta-analysis is a valid, objective, and ...
Systematic reviews combine study data in a number of ways to reach an overall understanding of the evidence. Meta-analysis is a type of statistical synthesis. Narrative synthesis combines the findings of multiple studies using words. All systematic reviews, including those that use meta-analysis, are likely to contain an element of narrative ...
A systematic review is a form of research done collecting, appraising and synthesizing evidence to answer a particular question, in a very transparent and systematic way. Data (or evidence) used in systematic reviews have their origin in scholarly literature – published or unpublished. So, findings are typically very reliable.
Meta-analysis is a statistical tool that provides pooled estimates of effect from the data extracted from individual studies in the systematic review. The graphical output of meta-analysis is a forest plot which provides information on individual studies and the pooled effect. Systematic reviews of literature can be undertaken for all types of ...
Sometimes the results of all of the studies found and included in a systematic review can be summarized and expressed as an overall result. This is known as a meta-analysis. The overall outcome of the studies is often more conclusive than the results of individual studies. But it only makes sense to do a meta-analysis if the results of the ...
A systematic review is guided filtering and synthesis of all available evidence addressing a specific, focused research question, generally about a specific intervention or exposure. The use of standardized, systematic methods and pre-selected eligibility criteria reduce the risk of bias in identifying, selecting and analyzing relevant studies.
Systematic reviews and meta-analyses lie on the top of the evidence hierarchy because they utilize explicit methods for literature search and retrieval of studies relevant to the review question as well as robust methodology for quality assessment of included studies and quantitative synthesis of results.
A systematic review can be combined with a meta-analysis. A meta-analysis is the use of statistical methods to summarize the results of a systematic review. Not every systematic review contains a meta-analysis. A meta-analysis may not be appropriate if the designs of the studies are too different, if there are concerns about the quality of ...
There are 6 modules in this course. We will introduce methods to perform systematic reviews and meta-analysis of clinical trials. We will cover how to formulate an answerable research question, define inclusion and exclusion criteria, search for the evidence, extract data, assess the risk of bias in clinical trials, and perform a meta-analysis.