First Author & Publication Year | Study Design | Follow-up (Months) | Group | N (eye) | Age (Year) Mean + SD | Preoperative BCVA Mean + SD | Preoperative IOP (mmHg) Mean + SD | Preoperative ACD (mm) Mean + SD | |
Zaifang Wang 2019 [18] | RCT | 3 | P + G | 23 | 61.4 ± 2.4 | 0.21 ± 0.13 | 48.4 ± 3.8 | 1.65 ± 0.3 | |
T | 23 | 61.1 ± 2.6 | 0.20 ± 0.14 | 48.3 ± 3.7 | 1.64 ± 0.29 | ||||
Canhua HUANG 2019 [21] | Prospective cohort | N/A | P + G | 42 | 56.4 ± 3.35 | 0.24 ± 0.08 | 35.7 ± 9.85 | 1.61 ± 0.35 | |
T | 42 | 56.8 ± 3.52 | 0.23 ± 0.09 | 35.9 ± 10.01 | 1.60 ± 0.36 | ||||
Jili Chen 2017 [20] | RCT | 6 | P + G | 33 | 61.90 ± 5.19 | 0.21 ± 0.04 | 40.19 ± 3.16 | 1.21 ± 0.15 | |
T | 32 | 61.40 ± 5.66 | 0.22 ± 0.06 | 40.69 ± 3.02 | 1.22 ± 0.14 | ||||
Guoying Liu 2017 [15] | RCT | 1 | P + G | 33 | 59.10 ± 3.1 | 0.41 ± 0.22 | 17.18 ± 2.2 | 1.65 ± 0.23 | |
T | 34 | 61.40 ± 2.9 | 0.39 ± 0.21 | 17.47 ± 2.9 | 1.67 ± 0.13 | ||||
Siyi Zhang 2016 [16] | Prospective cohort | 3 | P + G | 43 | 58.12 ± 8.59 | 0.21 ± 0.13 | 30.36 ± 10.74 | 1.57 ± 0.44 | |
T | 43 | 58.09 ± 8.56 | 0.22 ± 0.18 | 31.17 ± 11.01 | 1.61 ± 0.52 | ||||
Kun Wang 2019 [19] | RCT | N/A | P + G | 20 | 60.4 ± 2.8 | 0.40 ± 0.21 | 40.3 ± 12.9 | N/A | |
T | 20 | 58.7±3.2 | 0.38±0.23 | 37.1±14.4 | N/A | ||||
Ayinuer 2015 [22] | RCT | 3 | P + G | 28 | N/A | N/A | 51.06 ± 13.63 | N/A | |
T | 28 | N/A | N/A | 46.43±21.88 | N/A | ||||
Zhaorong Zeng 2013 [17] | RCT | N/A | P + G | 68 | 52.1 ± 6.1 | 0.22 ± 0.15 | 39.22 ± 2.44 | N/A | |
T | 67 | 54.3 ± 7.6 | 0.23 ± 0.21 | 41.51 ± 3.63 | N/A | ||||
Tang Y 2012 [23] | Retrospective cohort | 6 | P + G | 19 | 72.05 ± 6.67 | N/A | 39.3 ± 10.9 | 2.1 ± 0.64 | |
T | 20 | 68.55 ± 6.42 | N/A | 39.2 ± 9.1 | 2.29 ± 0.26 | ||||
Zhang H 2016 [12] | RCT | >12 | P + G | 69 | 68.5 ± 6.52 | N/A | 46.47 ± 9.2 | 1.55 ± 0.26 | |
T | 76 | 66.58 ± 5.80 | N/A | 48.25 ± 7.52 | 1.61 ± 0.38 | ||||
Yanjun Huang 2011 [24] | RCT | 12 | P + G | 29 | N/A | 0.16 ± 0.1 | 17.36 ± 2.01 | 2.01 ± 0.13 | |
T | 29 | N/A | 0.18 ± 0.12 | 17.42 ± 1.98 | 2.03 ± 0.05 | ||||
Kai Ma 2015 [25] | Prospective cohort | >6 | P + G | 38 | N/A | 0.22 ± 0.14 | 24.2 ± 4.2 | N/A | |
T | 23 | N/A | 0.25 ± 0.2 | 23.0 ± 5.0 | N/A | ||||
Tian Yang 2019 [26] | RCT | 3 | P + G | 35 | 58.74 ± 5.20 | N/A | N/A | N/A | |
T | 35 | 58.81 ± 5.24 | N/A | N/A | N/A | ||||
Lianrong Su 2013 [27] | RCT | 6 | P + G | 20 | N/A | 0.35 ± 0.21 | 47.84 ± 2.03 | 1.62 ± 0.28 | |
T | 20 | N/A | 0.36 ± 0.23 | 46.9 ± 2.64 | 1.74 ± 0.21 | ||||
Ning Ma 2018 [28] | RCT | 2 | P + G | 18 | 62.2 ± 8.3 | 0.39 ± 0.23 | 32.3 ± 13.2 | 1.66 ± 0.45 | |
T | 18 | 61.3 ± 8.9 | 0.37 ± 0.22 | 32.6 ± 11.9 | 1.69 ± 0.42 | ||||
Chaohua Huang 2018 [29] | Prospective cohort | N/A | P + G | 45 | 63.2 ± 1.5 | 0.26 ± 0.14 | 24.15 ± 4.15 | N/A | |
T | 44 | 63.1 ± 1.3 | 0.24 ± 0.13 | 23.99 ± 4.14 | N/A | ||||
Yufei Cai 2021 [30] | RCT | N/A | P + G | 20 | N/A | N/A | 26.56 ± 3.36 | 2.26 ± 0.41 | |
T | 20 | N/A | N/A | 26.48±4.16 | 2.24±0.45 | ||||
Qingzhi Wang 2020 [31] | Prospective cohort | N/A | P + G | 75 | 64.9 ± 5.0 | 0.22 ± 0.04 | 24.1 ± 4.2 | N/A | |
T | 70 | 64.8 ± 5.1 | 0.25 ± 0.1 | 23.1 ± 5.0 | N/A | ||||
Shuifeng Deng 2021 [32] | RCT | 6 | P + G | 29 | 67.66 ± 8.44 | 0.34 ± 0.12 | 16.31 ± 3.7 | N/A | |
T | 30 | 68.87 ± 7.21 | 0.32 ± 0.14 | 15.97 ± 4.08 | N/A | ||||
Yongqiang Liang 2013 [33] | Prospective cohort | 3 | P + G | 59 | N/A | 0.19 ± 0.17 | 48.5 ± 3.9 | 1.62 ± 0.31 | |
T | 43 | N/A | 0.19 ± 0.15 | 46.8 ± 3.6 | 1.66 ± 0.36 |