. 2015 Mar 15;8(3):3935–3945.

Table 2.

Meta-analysis results of the associations between Cox-2 polymorphisms and the risk of bladder cancer

Cox-2 polymorphisms	Study group	Sample size (case/control)	Allele contrast		Ht vs. WT Ho^*		VR Ho vs. WT Ho^*		Dominant model		Recessive model

			OR [95% CI]	P_h	OR [95% CI]	P_h	OR [95% CI]	P_h	OR [95% CI]	P_h	OR [95% CI]	P_h
rs689466	overall	951/972	0.81 [0.61, 1.06]	0.02	0.87 [0.61, 1.24]	0.07	0.86 [0.63, 1.18]	0.21	0.82 [0.57, 1.18]	0.04	0.82 [0.64, 1.06]	0.32
	Chinese	555/555	0.97 [0.82, 1.14]	0.27	1.14 [0.84, 1.55]	0.92	0.97 [0.70, 1.35]	0.36	1.08 [0.81, 1.43]	0.64	0.87 [0.67, 1.13]	0.23
	Indian	396/417	0.66 [0.41, 1.05]	0.09	0.68 [0.50, 0.95]	0.15	0.39 [0.15, 0.97]	0.61	0.64 [0.38, 1.07]	0.1	0.44 [0.18, 1.10]	0.7
rs20417	overall	1564/1596	0.96 [0.65, 1.41]	<0.01	1.26 [0.84, 1.89]	<0.01	0.79 [0.46, 1.37]	0.63	1.23 [0.85, 1.77]	0.002	0.76 [0.44, 1.30]	0.49
	Chinese	549/552	1.46 [1.08, 1.98]	0.49	1.49 [1.08, 2.06]	0.3	3.10 [0.13, 76.61]	NA	1.51 [1.10, 2.08]	0.37	3.07 [0.12, 75.86]	NA
	Indian	396/417	0.77 [0.34, 1.76]	0.002	1.63 [1.18, 2.23]	0.39	0.69 [0.33, 1.44]	0.34	1.46 [1.08, 1.97]	0.5	0.60 [0.29, 1.26]	0.27
	American	619/627	0.81 [0.65, 1.00]	NA	0.76 [0.59, 0.97]	NA	0.85 [0.36, 2.02]	NA	0.76 [0.59, 0.97]	NA	0.92 [0.39, 2.18]	NA
rs5275	overall	1623/1701	0.84 [0.70, 1.00]	0.05	0.81 [0.63, 1.05]	0.05	0.76 [0.58, 0.99]	0.45	0.81 [0.63, 1.04]	0.04	0.82 [0.65, 1.04]	0.29
	Chinese	604/651	0.71 [0.42, 1.20]	0.006	0.72 [0.36, 1.45]	0.02	0.38 [0.13, 1.13]	0.13	0.68 [0.33, 1.43]	0.01	0.48 [0.26, 0.87]	0.37
	Indian	396/417	0.93 [0.76, 1.14]	0.78	0.91 [0.67, 1.23]	0.25	0.86 [0.55, 1.33]	0.9	0.90 [0.67, 1.20]	0.37	0.92 [0.62, 1.38]	0.51
	American	623/633	0.83 [0.70, 0.97]	NA	0.73 [0.57, 0.92]	NA	0.76 [0.53, 1.08]	NA	0.73 [0.57, 0.92]	NA	0.90 [0.64, 1.25]	NA

VR, variant; WT, wild-type; Ht, heterozygote; VR Ho, variant homozygote; WT Ho, wide-type homozygote.

The results were in bold, if the 95% CI excluded 1 or P<0.05; P_h, P value of Q-test for heterogeneity test, and Random effects model was used when P value for heterogeneity test <0.1; otherwise, fixed effects model was used in the analysis.