Review Article

An Overview of Systematic Reviews of Using Chinese Medicine to Treat Polycystic Ovary Syndrome

Table 5

GRADE quality-of-evidence ratings for ovulation rate.

Included systematic reviewsNumber of studies includedOvulation rate effect (95% CI)GRADE quality of evidenceRelegation factors

Yan Lun et al. 2015 [17]9OR = 2.18, 95% CI (1.63, 2.92)Very low①④⑤
Xiao Chao 2016 [18]8RR = 1.10, 95% CI (0.87, 1.39)Very low①②④⑤
Li Nan et al. 2017 [19]6OR = 2.70, 95% CI (1.32, 5.45)Very low①②④⑤
Huang Wenfang et al. 2018 [23]6OR = 2.18, 95% CI (1.77, 2.68)Low①⑤
Liu Ying et al. 2019 [24]8RR = 1.34, 95% CI (1.23, 1.46)Low①⑤
Yuan BoChao 2019 [25]6RR = 0.97, 95% CI (0.86, 1.09)Very low①②④⑤
Ji Lin 2019 [26]14OR = 1.92, 95% CI (1.40, 2.64)Low①②
Xie Peng Peng et al. 2019 [27]10RR = 1.17, 95% CI (1.02, 1.34)Low①④
Yuan BoChao 2019 [25]5RR = 1.18, 95% CI (1.03, 1.37)Low①④
Li Nan et al. 2020 [30]4OR = 3.91, 95% CI (1.95, 7.84)Very low①④⑤
Du Xiu et al. 2020 [31]6RR = 1.17, 95% CI (1.03, 1.34)Very low①②④
Lin BeiBei 2020 [32]6RR = 1.31, 95% CI (1.16, 1.48)Low①④
Chen JinMing et al. 2020 [33]3RR = 1.21, 95% CI (1.07, 1.37)Very low①④⑤

Note. CI: confidence interval; OR: odds ratio; RR: relative risk; ①: limitation; ②: inconsistency; ③: indirectness; ④: publication bias; ⑤: imprecision.