The present study will be performed by Review Manager Software (RevMan Version 5.3, The Cochrane Collaboration, Copenhagen, Denmark). Mean differences with a 95% confidence interval are assessed for continuous outcomes. P < .05 is set as the significance level. We examine heterogeneity graphically using forest plots and statistically by calculating the I2 statistic, which describes the percentage of the variability in effect estimates that is due to heterogeneity rather than sampling error (chance). We consider an I2 statistic >50% to be substantially heterogeneous. All outcomes are pooled on random-effect model. The Z test is used to assess the overall effect. A meta-analysis is conducted when ≥4 trials reported an outcome of interest. Subgroup analyses are planned by different follow-up periods. We also conduct the sensitivity analysis to evaluate whether any single study has the weight to skew on the overall estimate and data. Begg funnel plot is used to assess publication bias. If publication bias exists, the Begg funnel plot is asymmetric.

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