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The removed study [ 38] found no overall improvement in overall quality of life but in the sub-scales there were significant improvement for the DSME: freedom to eat (difference 1.7; 95% CI: 0.8 to 2.5, P < 0.001); enjoyment of food (difference 1.2; 95% CI: 0.2 to 2.1, P = 0.046); and freedom to drink (difference 1.5; 95% CI: 0.4 to 2.5, P = 0.005).
The baseline difference between the groups in the removed study [ 46] were 0.42 and although this increased to 0.66 at eight months, the difference between this study and the other two became larger (and thereby increasing heterogeneity) due to the difference in baseline value.
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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).
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.
The RED analysis, again, demonstrated the neutralizing effect of removing studies with missing data from the analysis.
Exclusion of this study from the analysis removed the study heterogeneity (I2=29%, P=0.20) while the pooled RR stayed significantly protective (RR=0.74, 95% CI=0.70-0.79).
This delayed resumption of chemotherapy beyond the protocol-stipulated limits, and the patient was removed from study.
The team removed the pipes to study the metal composition and to test the acoustics.
In addition, the sensitivity analysis showed that removing the study with statin users did not affect the outcome.
If any tumor invasion into the peritoneal space was noted, the mouse was removed from the study.
Sensitivity analyses were also performed by removing the study with the largest sample size (table 2).
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