Statistical Analysis
The statistical analysis was performed using Review Manager Version 5.4 Cochrane Collaboration. Random effects model was utilised to calculate the weighted mean difference (WMD) and its associated 95% confidence intervals (CIs) in order to pool continuous outcomes of interest. Using a random effects model, odds ratio and accompanying 95% confidence intervals (CIs). were integrated for the dichotomous outcome. For adverse events, data was used to calculate risk ratios (RRs) and 95% confidence intervals, which were then meta analysed using a random effects model. For each outcome, the results were displayed as forest plots. Sensitivity analysis was used to examine the impact of each study on the pooled estimate for outcomes where studies showed a high level of heterogeneity. Following the Cochrane Guidelines, no funnel plots were built to test for publication bias because the number of papers pooled for all outcomes was fewer than 10. The aggregated studies’ heterogeneity was quantified using Higgins I2 statistics. [13] A value of I2 = 25–50% was deemed mild, 50–75% as moderate, and >75% as severe heterogeneity. Every time, a p-value of 0.05 or less was deemed significant.