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Define the research question or objective of the meta-analysis.
02
Conduct a systematic literature search to identify relevant studies.
03
Screen the retrieved studies based on predefined inclusion and exclusion criteria.
04
Extract data from the included studies using a standardized data extraction form.
05
Analyze the data using statistical methods to calculate effect sizes and conduct subgroup analyses if necessary.
06
Evaluate the quality of the included studies using tools such as the Cochrane Risk of Bias assessment.
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Interpret the results of the meta-analysis and draw conclusions based on the findings.

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01
Researchers and scientists looking to synthesize the results of multiple randomized controlled trials on a specific topic.
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Policy makers and healthcare professionals seeking evidence-based recommendations for clinical practice.
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Students and academics conducting research in a particular field and looking to understand the overall body of evidence.
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Meta-analysis of randomized controlled trials is a statistical technique used to combine data from multiple clinical trials in order to generate more reliable results.
Researchers, scientists, or institutions conducting meta-analyses of randomized controlled trials are required to file them.
Meta-analysis of randomized controlled trials is filled out by aggregating data from various clinical trials and analyzing them statistically.
The purpose of meta-analysis of randomized controlled trials is to provide a more comprehensive and reliable assessment of the effectiveness of a particular intervention or treatment.
Information such as study design, sample size, outcomes, and statistical methods must be reported on meta-analysis of randomized controlled trials.
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