2002
DOI: 10.1093/ije/31.1.140
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Meta-analyses involving cross-over trials: methodological issues

Abstract: Methods do exist for including valuable information from two-period, two-treatment cross-over trials into quantitative reviews. However, poor reporting of cross-over trials will often impede attempts to perform a meta-analysis using the available methods.

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Cited by 2,069 publications
(676 citation statements)
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References 24 publications
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“…We assessed for the presence of publication bias by using funnel plots and formal testing, which revealed weak evidence for an effect, strengthening the inferences from this review. An imputation approach for some comparisons was used to derive SEs for effect sizes; however, we took the most conservative approach by using the lowest correlation estimate among studies with all available data (26). The variability in measurement Figure 3.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…We assessed for the presence of publication bias by using funnel plots and formal testing, which revealed weak evidence for an effect, strengthening the inferences from this review. An imputation approach for some comparisons was used to derive SEs for effect sizes; however, we took the most conservative approach by using the lowest correlation estimate among studies with all available data (26). The variability in measurement Figure 3.…”
Section: Discussionmentioning
confidence: 99%
“…When adequate data were reported, standardized mean differences (SMDs) were calculated as the mean difference in the biomechanical parameter between the insole and no-insole conditions, divided by the pooled SD, with adjustment for small sample sizes (Hedges g: SMD) (25). Where not reported, the SEM difference and correlations between outcomes were estimated from P values using the equivalent T statistic (26). When this was not possible, an imputation approach was taken where the SEM difference was estimated using the lowest correlation estimate from other studies (26).…”
Section: Significance and Innovationsmentioning
confidence: 99%
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“…In crossover studies, it was recommended to extract paired t test data that evaluated the value of “measurement on intervention” minus “measurement on control” separately for each participant21; however, because these data were rarely provided, we resorted to using mean and SD separately for intervention and control. This step provided a conservative estimate of effect and reduced the power of crossover studies to show real effects of intervention 22. If SDs were not reported directly, we calculated them from SEM or 95% CI.…”
Section: Methodsmentioning
confidence: 99%
“…The inverse variance method was used to calculate an overall effect (weighted mean difference) for each comparison of insulin regimens. For crossover studies only first-period data were included where available unless within-person differences with appropriate measures of dispersion were quoted or could be estimated from test statistics [29]. Data from three-arm trials were pooled such that each group only appeared once in any meta-analysis.…”
Section: Search Strategymentioning
confidence: 99%