Table 2.
Evaluation of total effective rate by chi-square and fixed effect model.
Study or subgroup | Experimental | Control | Weight | Risk Difference | ||
---|---|---|---|---|---|---|
Events | Total | Events | Total | M-H, fixed, 95% CI | ||
Gou Li 2020 | 45 | 45 | 43 | 45 | 8.6% | 0.04 [-0.03, 0.12] |
Li Limei 2019 | 29 | 30 | 21 | 30 | 5.8% | 0.27 [0.09, 0.44] |
Li Qiaoxiang 2017 | 58 | 60 | 52 | 60 | 11.5% | 0.10 [0.00, 0.20] |
Sui Aifeng 2015 | 45 | 48 | 37 | 48 | 9.2% | 0.17 [0.03, 0.30] |
Tang Jianwen 2015 | 45 | 48 | 37 | 48 | 9.2% | 0.17 [0.03, 0.30] |
Wang Long 2017 | 22 | 25 | 18 | 25 | 4.8% | 0.16 [-0.06, 0.38] |
Xue Ming 2018 | 41 | 45 | 39 | 45 | 8.6% | 0.04 [-0.09, 0.17] |
Ye Jianlin 2017 | 85 | 90 | 75 | 90 | 17.3% | 0.11 [0.02, 0.20] |
Yu Tong 2017 | 38 | 41 | 30 | 40 | 7.8% | 0.18 [0.02, 0.33] |
Zhang Xiaoyan 2014 | 47 | 50 | 37 | 46 | 9.2% | 0.14 [0.00, 0.27] |
Zhao Qi 2018 | 40 | 42 | 33 | 42 | 8.1% | 0.17 [0.03, 0.31] |
Total (95% CI) | 524 | 519 | 100% | 0.13 [0.09, 0.17] | ||
Total events | 495 | 422 |
Heterogeneity: chi2 = 11.37; df = 10 (P = 0.33); I2 = 12%. Test for overall effect: Z = 6.70 (P < 0.00001).