Table 2.

Forest plots with the corresponding 95% CIs for the mean difference (MD) of HbA1c.

	Statistics	Forest plot Studies MD [95% CI] Weight (%) MD [95% CI]	Funnel plot
3-month follow-up Heterogeneity
$Ta{u}^2$ ( ${\tau }^2$ )	0.1184
$I^2$	58.33%
$d.f$	6.000
Q-test ( ${\chi }^2$ )	12.547
$P-value$	0.0
Test for overall effect
$Z-test$	3.42
$P-value$	< 0.001
Publication bias assessment
Begg and Mazumdar ( $P-value$ )	0.773
Egger’s regression ( $P-value$ )	0.568
6-month follow-up Heterogeneity
$Ta{u}^2$ ( ${\tau }^2$ )	0.0233
$I^2$	84.84%
$d.f$	9.000
Q-test ( ${\chi }^2$ )	58.590
$P-value$	<.001
Test for overall effect
$Z-test$	3.35
$P-value$	< 0.001
Publication bias assessment
Begg and Mazumdar ( $P-value$ )	0.156
Egger’s regression ( $P-value$ )	0.091
9-month follow-up Heterogeneity
$Ta{u}^2$ ( ${\tau }^2$ )	3.2342
$I^2$	96.73%
$d.f$	2.000
Q-test ( ${\chi }^2$ )	41.073
$P-value$	< 0.001
Test for overall effect
$Z-test$	1.79
$P-value$	0.074
Publication bias assessment
Begg and Mazumdar ( $P-value$ )	0.333
Egger’s regression ( $P-value$ )	0.007
12-month follow-up Heterogeneity
$Ta{u}^2$ ( ${\tau }^2$ )	0.3551
$I^2$	87.33%
$d.f$	4.000
Q-test ( ${\chi }^2$ )	25.908
$P-value$	< 0.001
Test for overall effect
$Z-test$	3.01
$P-value$	0.003
Publication bias assessment
Begg and Mazumdar ( $P-value$ )	0.233
Egger’s regression ( $P-value$ )	0.001