Mean and Mean difference are the two key statistical measures used in the statistical analysis. Both are essential for meta-analysis as well. Mean and Mean difference are used for the interpretation of a large set of values into a single number which explains the heterogeneity and variation among the individual values. However, one of a common challenge in meta-analysis is the unavailability of this data (mean and standard deviation).
Q & A Forum
Systematic Review & Meta Analysis
Q: Why is a comprehensive literature search essential in systematic reviews and meta-analyses?
A comprehensive literature search assures that all existing evidence is collected, which is crucial for the credibility and validity of a Systematic Review or Meta-analysis. The quality of the search methods affects the specificity and sensitivity of the studies, where sensitivity refers inclusion of the relevant studies and specificity refers exclusion of the studies.
Q: What components make up a systematic search strategy?
A: A methodical search strategy consists of:
- Formalized keywords, similar as Medical Subject headlines (MeSH) terms,
- Free- text research terms, and
- Boolean drivers (e.g., AND, OR, NOT) to upgrade search results.
Since different databases use unique indexing systems, search strategies frequently need to be adapted consequently.
Q: Which databases should be included in a systeamtic literature search?
A: Studies suggest that a comprehensive search should include at least:
- MEDLINE,
- Embase,
- Web of Science, and
- Google Scholar (reviewing at least the first 200 results).
Q: How complex is it to develop a search strategy, and should experts be involved?
A: Casting a search strategy with high perceptivity and particularity across multiple databases is complex and requires skills. To ensure delicacy and absoluteness, experimenters are advised to consult an information specialist or indeed include one as a co-author.
Q: Where can experimenters find guidance on methodical literature quests?
A: Detailed guidance on designing effective hunt strategies is available through established coffers and methodological literature.
Q: What criteria should be defined for choosing articles?
A: The addition and rejection criteria should be pre-specified in the study protocol and may include
- Study population (who is included),
- Outcome measures (what is being studied),
- Study design (RCTs, experimental studies, etc.),
- Publication timeframe, and
- Language (though translation tools, similar as Google Translate, may reduce the need for language restrictions).
Q: How do clear selection criteria ameliorate the review process?
A: Well- defined selection criteria enhance inter-rater trustability, making the webbing process more effective and ensuring consistency among pundits when opting applicable studies.
https://www.sciencedirect.com/science/article/pii/S2772594422001169