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Explore the reasons behind substantial statistical heterogeneity by performing subgroup analyses and sensitivity analyses (see step 6).
Bucher's method was implemented using RevMan by performing subgroup analyses, the different subgroups being defined by the different comparisons being made.
Moreover, by performing subgroup analyses, we provided insight into the efficacy of multiple balloon inflations in the absence or presence of cardiovascular risk factors.
While the small number of studies involved in each analysis precluded meaningful meta-regression to explore additional potential confounding factors [ 153], we sought to address potential bias by performing subgroup analyses, including cell type genotyping techniques and ethnicity.
If we had at least 10 studies in any meta-analysis that showed significant statistical heterogeneity, we would have explored the possible sources of heterogeneity by performing subgroup analyses; with subgroups defined by age, gender, socioeconomic status, and risk of bias (low versus high/unclear).
We explored sources of heterogeneity by performing subgroup analyses with respect to study location (developed vs. developing country), study type (CRT vs. observational), blinding status (blinded vs. nonblinded), and distribution system performance during the study period (malfunctioning vs. nonmalfunctioning, based on reported data on network hydraulics and chlorine residual) (Table 2).
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In addition to stratifying by ASB level, we performed subgroup analyses of ASB caused by gram-negative and gram-positive pathogens.
Too few studies stratified results by job title within the cotton industry or by farm type to perform subgroup analyses for these variables.
Where we detected moderate heterogeneity, we performed subgroup analyses by stratifying results by the level of health worker adherence to the RDT result, the level of malaria endemicity, and the age group of the targeted population.
Thirdly, to assess possible effect modification by the underlying condition, we performed subgroup analyses in patients with sepsis only, and stratified by acute physiology and chronic health evaluation IV score.
We also performed sensitivity analyses by removing the studies that did not report tea consumption as cups and performed subgroup analyses by geographic region, especially China and Japan (see Table 2).
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by performing histogram analyses
by performing regression analyses
by running subgroup analyses
by conducting subgroup analyses
by performing correlation analyses
by performing network analyses
by undertaking subgroup analyses
by performing bootstrap analyses
by performing association analyses
by performing laboratory analyses
by performing sensitivity analyses
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