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We also examined the effect of omitting studies with nested case-control design.
If we calculated RR by omitting studies with zero cells, the pooled RR was 0.48 (CI,.43 .54), confirming that whichever one of the 3 effect sizes was utilized, DOT was associated with lower defaulting rates compared to SAT. > -wrap-foot> For microbiologic failure, 10 studies randomized patients to either SAT (n = 3376) or DOT (n = 8625).
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In most of these omitted studies, the BMI range associated with the lowest mortality was around 22.5 25, particularly after accounting for smoking status and reverse causation due to prevalent diseases (Tobias & Hu, 2013).
We omitted studies that included fewer than 10 patients with BD, but did not reject reports for other scientific limitations (for example, convenience sampling or cross-sectional designs).
The highest vs. lowest approach will vary between study in the ratio of exposures considered, while the key value approach, although combining results relating to different exposures in different studies to a lesser extent, necessarily omits results from studies with broader categories while somewhat arbitrarily selecting or discarding RRs from studies with narrow categories.
Summary effect data are presented in Table I, with sensitivity analyses omitting crossover study data unless t-test or exact P-values were available in Table II.
When omitting this study, homogeneity appeared and the pooled estimate became more significant with a narrower confidence interval.
Thus, we conducted the sensitivity analyses again, omitting that study.
Sensitivity analysis was conducted by omitting each study in turn.
In addition, sensitivity analysis was performed by omitting each study.
When omitting this study, the results show a trend towards shorter ICU-LOS (HR: 1.19; 95% CI: 0.93; 1.44) and hospital stay (HR: 1.30; 95% CI: 0.87; 1.74) with PCT-guided therapy.
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