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The source of heterogeneity was investigated by subgroup analysis and sensitivity analysis.
If the p value <0.1 and I is >50%, we will explore sources of heterogeneity by subgroup analysis and meta-regression.
Our pooled effects were also statistically significant, but we failed to find the source of heterogeneity by subgroup analysis and metaregression analysis.
Instead, prevalence rates were reviewed narratively and possible sources of heterogeneity between studies were investigated both by subgroup analysis and narratively.
By subgroup analysis and multivariate Cox model, we found that bevacizumab remained an independent prognostic factor of good outcome only in the group of patients with primary tumor resected (data not shown).
The greatest benefit for this combination therapy appears to be in patients who have low HDL-C and elevated triglyceride levels, as shown by subgroup analysis and post hoc analyses of the FIELD study [ 24].
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By subgroup analysis, CRP and NT-proBNP were also significantly associated with all secondary endpoints, whereas RCRI was not associated with AMI or primary cardiovascular death.
We investigated heterogeneity by examining the forest plots and statistically by including co-variates in the HSROC or bivariate model, by conducting subgroup analysis, and by performing sensitivity analysis.
Conventional approaches for meta-analysis will be used, and heterogeneity will be investigated by using subgroup analysis and meta-regression if appropriate.
Fifth, between-study heterogeneity was found in some analysis in this meta-analysis, but the between-study heterogeneity was not successfully explained by the subgroup analysis and meta-regression.
Means and frequencies were determined in aggregate and by subgroup analysis of the different glucose tolerance categories.
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