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in vivo 38: (2024)INSTRUCTIONS FOR AUTHORS General PolicyIN VIVO (IV) is a multidisciplinary journal designed to bring together original high quality works and reviews on experimental and clinical
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How to fill out systematic review and meta-analyses

How to fill out systematic review and meta-analyses
01
Define research question and study objectives
02
Develop search strategy to find relevant studies
03
Screen titles and abstracts for inclusion/exclusion criteria
04
Retrieve full-text articles for selected studies
05
Extract data from studies using standardized forms
06
Assess study quality and risk of bias
07
Conduct meta-analysis if applicable
08
Interpret results and draw conclusions
Who needs systematic review and meta-analyses?
01
Researchers conducting literature reviews
02
Policy makers looking for evidence-based recommendations
03
Healthcare professionals seeking best practices
04
Academic institutions conducting research
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What is systematic review and meta-analyses?
Systematic reviews involve a comprehensive and detailed analysis of multiple studies on a specific topic, while meta-analyses combine the results of these studies to generate a quantitative summary.
Who is required to file systematic review and meta-analyses?
Researchers, scientists, or professionals conducting literature reviews or analyzing data are typically required to file systematic review and meta-analyses.
How to fill out systematic review and meta-analyses?
Systematic reviews and meta-analyses are typically filled out by following specific guidelines and protocols set by the relevant research institutions or publication standards.
What is the purpose of systematic review and meta-analyses?
The purpose of systematic review and meta-analyses is to provide a thorough and unbiased summary of existing research on a particular topic, allowing for evidence-based decision-making and further study.
What information must be reported on systematic review and meta-analyses?
Systematic reviews and meta-analyses must report details of the research question, search strategy, inclusion/exclusion criteria, data extraction methods, statistical analyses, and conclusions drawn from the results.
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