Table 6.
P values testing Hardy–Weinberg proportion and test for heterogeneity of studies included in the meta-analysis for BsmI Bb polymorphism, respectively.
Study | Intervention | Controls | Odds ratio | 95% CI | z | P |
---|---|---|---|---|---|---|
Chang 2000 | 16/157 | 16/248 | 1.645 | 0.798–3.393 | ||
Balazs Gyorffy 2002 | 53/107 | 44/103 | 1.316 | 0.764–2.268 | ||
Vaselin Scrabic 2003 | 58/134 | 74/132 | 0.598 | 0.368–0.971 | ||
J J San Pedro 2005 | 40/71 | 44/88 | 1.290 | 0.688–2.418 | ||
Diego Garcia 2007 | 110/216 | 74/203 | 1.809 | 1.224–2.674 | ||
C Panierakis 2009 | 43/100 | 23/96 | 2.394 | 1.296–4.422 | ||
Chung Cheon 2015 | 13/81 | 4/113 | 5.210 | 1.632–16.633 | ||
Total (fixed effects) | 333/866 | 279/983 | 1.430 | 1.160–1.762 | 3.347 | 0.001 |
Total (random effects) | 333/866 | 279/983 | 1.534 | 1.001–2.350 | 1.966 | 0.049 |
Q | 21.6238 | |||||
DF | 6 | |||||
Significance level | P = 0.0014 | |||||
I2 (inconsistency) | 72.25% | |||||
95% CI for I2 | 40.02–87.16 |
Bias indicators: Begg–Mazumdar: Kendall’s Tau = −0.333333 P = 0.3813 (low power); Egger: bias = 2.518064 (95% CI = −4.133965 to 9.170093) P = 0.3752; Harbord–Egger: bias = 2.595692 (92.5% CI = −3.668787 to 8.860172) P = 0.3955.
DF, degree of freedom; Q, heterogeneity in meta analysis.