2007
DOI: 10.1080/17453670710014284
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How to interpret a meta-analysis and judge its value as a guide for clinical practice

Abstract: On behalf of the International Evidence-Based Orthopedic Surgery Working Group (2007) How to interpret a meta-analysis and judge its value as a guide for clinical practice,

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Cited by 94 publications
(72 citation statements)
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“…24 The I 2 test was used to quantify statistical heterogeneity of the studies. 25 A value of 25% reflects low heterogeneity, 50% is moderate and 75% represents high heterogeneity. A p value of <0.1 was used to indicate that the heterogeneity was not due to chance alone, and it would be inappropriate to combine the results in a summary.…”
Section: Data Extraction and Analysismentioning
confidence: 99%
“…24 The I 2 test was used to quantify statistical heterogeneity of the studies. 25 A value of 25% reflects low heterogeneity, 50% is moderate and 75% represents high heterogeneity. A p value of <0.1 was used to indicate that the heterogeneity was not due to chance alone, and it would be inappropriate to combine the results in a summary.…”
Section: Data Extraction and Analysismentioning
confidence: 99%
“…Redundant publications alter the assessment of treatment effects in meta-analysis. The transition toward evidence-based orthopaedics research has led to an explosive increase in the number of meta-analyses over the last decade, which is cause for increasing concern [39]. The publication of redundant data is not only unethical but also has a confounding effect on meta-analysis; furthermore, the practice also increases the costs of peer review.…”
Section: Prevention Of the Recycling Culture Of Research Performancementioning
confidence: 99%
“…The outcome in meta-analysis, the effect size, is often reported as weighted mean difference or standard mean difference (Zlowodzki et al, 2007). Zlowodzki et al (2007) summarized that effect sizes are defined, according to Cohen (1988), as a large effect size equal to or greater than 0.8, a medium size is equal to 0.5, and 0.2 is a small effect size. In meta-analysis, a test for homogeneity can be conducted to examine variation among the studies.…”
Section: Introduction Of Meta-analysismentioning
confidence: 99%
“…Meta-analysis is classified as a type of systematic review (Zlowodzki, Poolman, Kerkhoffs, Tornetta III, & Bhandari, 2007), and is defined as a "statistical analysis of a collection of analytic results for the purpose of integrating the findings," and combining findings from a collection of studies "represents an attractive alternative to strengthen the evidence about the treatment efficacy" (DerSimonian & Laird, 1986, p. 177). Borestein et al (2009) stated that in meta-analysis, individual effect size for each study and summary effect are computed to evaluate the level of effectiveness of the treatment and the relationship between two variables.…”
Section: Introduction Of Meta-analysismentioning
confidence: 99%