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Very few recommendations either proposed removing study components or contradicted other recommendations.
The most likely explanation of this substantial heterogeneity was the variability of size of summary estimate across the studies (Removing study by Bhandari et al. 2001 did not affect the heterogeneity).
Removing study subjects with a CNS cancer diagnosis within the first year after ART, did not alter the risk of CNS cancer (HR 1.57, 95% CI 1.08 2.28) (Table IV).
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The RED analysis, again, demonstrated the neutralizing effect of removing studies with missing data from the analysis.
By removing studies with quality scores less than four, the results remained stable to sensitivity analysis.
Influence of removing studies one by one on adjusted effect estimates of patients requiring supplementary analgesia.
Sensitivity analysis was performed by removing studies on chemotherapy and removing each study in turn to test the reliability of the overall pooled results.
Finally, we also examined the impact of removing studies with extreme ORs or the highest weight in analysis, as well as removing individual studies in a sequential manner.
We explored whether heterogeneity could be reduced by removing studies 1 at a time from the meta-analysis.
Decisions for removing studies during sensitivity analyses were based on their potential source of variability - duration of outcome measurement.
Sensitivity and influence analyses were conducted by evaluating the impact of adding or removing studies based on important study characteristics and outlier status.
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