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We used sensitivity analyses to assess the relative influence of each study on the pooled estimates by omitting one study at a time.
Sensitivity analysis was performed to detect the influence of a single study on the overall estimate via omitting one study in turn and pooling the remaining ones.
The sensitivity analysis assessed the influence of an individual study on the pooled RR by omitting one study and re-analyzing the results.
Using similar methodology, the influence on meta-regression was determined by omitting one study each time to explore heterogeneity sources.
We also investigated the influence of a single study on the overall pooled estimate by omitting one study in each turn.
We further investigated the influence of a single study on the overall pooled estimate by omitting one study in each step.
In addition, we examined the influence of a single study on the summary risk estimate by omitting one study in each turn.
To assess the influence of individual studies on the pooled result, we conducted sensitivity analyses to investigate the influence of a single study on the overall risk estimate by omitting one study in each turn.
The influence of each individual study on the overall results was analyzed by omitting one study at a time.
Sensitivity analysis was conducted by omitting one single study each time, and leaving out studies specifically on smear-confirmed TB, and restricting the analysis specifically on culture-confirmed TB.
In addition, we conducted sensitivity analyses by omitting one study at a time to see the influence of each trial on the overall effect estimate.
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