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. 2020 Aug 25;11:917. doi: 10.3389/fneur.2020.00917

Table 4.

GRADE evaluation results.

Reviews Interventions Outcomes Limitations Inconsistency Indirectness Imprecision Publication bias Quality
Liu et al. (39) Scalp AT + madopar vs. Madopar Webster scale score −1 0 0 0 −1 L
UPDRS score −1 −1 0 −1 −1 VL
PDSS score −1 0 0 −1 −1 VL
Liu et al. (40) AT + madopar vs. Madopar Effectiveness −1 0 0 0 −1 VL
Webster scale score −1 −1 0 0 −1 VL
UPDRS score −1 0 0 −1 −1 VL
Ou and Xu (41) AT + madopar vs. Madopar UPDRS score −1 −1 0 −1 −1 VL
Webster scale score −1 0 0 −1 −1 VL
AT vs. Madopar UPDRS score −1 −1 0 −1 −1 VL
Webster scale score −1 0 0 −1 −1 VL
Gui et al. (42) AT + madopar vs. Madopar Effectiveness −1 0 0 0 −1 L
Yin et al. (43) AT + madopar vs. Madopar Effectiveness −1 0 0 0 −1 L
Sun and Zhang (44) AT + madopar vs. Madopar HAMD score −1 0 0 0 −1 L
UPDRS I score −1 −1 0 0 −1 VL
UPDRS II score −1 0 0 0 −1 L
Webster scale score −1 0 0 0 −1 L
Qiang et al. (45) SEA + medication vs. Medication UPDRS score −1 −1 0 −1 −1 VL
Webster scale score −1 0 0 −1 −1 VL
Effectiveness −1 0 0 0 0 M
Liu et al. (46) AT + madopar vs. Madopar Effectiveness −1 0 0 0 0 M
UPDRS score −1 −1 0 0 −1 VL
Adverse events −1 0 0 −1 −1 VL
Noh et al. (47) AT + medication vs. Medication UPDRS score −1 0 0 −1 0 M
EA + medication vs. Medication UPDRS score −1 0 0 −1 0 L
AT vs. placebo AT UPDRS score −1 0 0 −1 0 L
Lee and Lim (48) AT + madopar vs. Madopar UPDRS score −1 0 0 0 −1 L
Webster scale score −1 −1 0 −1 −1 VL
Effectiveness −1 −1 0 −1 −1 VL
AT + madopar vs. Madopar Webster scale score −1 0 0 −1 −1 VL
Effectiveness −1 0 0 −1 −1 VL
AT vs. no treatment Webster scale score −1 0 0 −1 −1 VL
Effectiveness −1 0 0 −1 −1 VL
Yang et al. (49) AT vs. Madopar Effectiveness −1 −1 0 −1 −1 VL

VL, Very low; L, Low; M, Moderate; H, High. AT, acupuncture therapy; EA, electroacupuncture; SEA, scalp electroacupuncture; UPDRS, Unified Parkinson's Disease Rating Scale; PDSS, Parkinson's Disease Sleep Scale; HAMD, Hamilton Depression Rating Scale;

①:

The experimental design had a large bias in random, distributive findings or was blind.

②:

The confidence intervals overlapped less, the P-value for the heterogeneity test was very small, and the I2 was larger.

③:

The confidence interval was not narrow enough.

④:

Fewer studies were included, and there may have been greater publication bias.

⑤:

Funnel graph asymmetry.