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- W4328109487 abstract "Many systematic reviews contain meta-analyses. These are statistical combinations of results from multiple studies, commonly presented in a forest plot. The process yields a single numerical answer to our research or clinical question. For this reason, it may be considered by many review investigators as the ultimate aim of the systematic review, the culmination of all the hard work screening through thousands of records, carefully assessing studies, and extracting outcome data. However, meta-analysis should not be simply conducted by default. It should be performed only after a thoughtful consideration of whether such an analysis would provide a meaningful summary. This decision is influenced by heterogeneity, or differences between studies, as well as study quality, or the risk of bias. Broadly, heterogeneity can be separated into clinical heterogeneity and statistical heterogeneity." @default.
- W4328109487 created "2023-03-22" @default.
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- W4328109487 date "2023-06-01" @default.
- W4328109487 modified "2023-09-25" @default.
- W4328109487 title "When to pool data in a meta-analysis (and when not to)?" @default.
- W4328109487 doi "https://doi.org/10.1016/j.fertnstert.2023.03.015" @default.
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