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. 2020 Jul 28;19:1534735420940394. doi: 10.1177/1534735420940394

Table 4.

GRADE Quality of Evidence Assessment for Acupuncture on Symptom Management of Postoperative Side Effects of Breast Cancer.

Quality assessment
Summary of finding table
Quality Importance
No. of patients
Effect
Outcome/no. of studies Design Risk of bias Inconsistency Indirectness Imprecision Other considerations Acupuncture Control Relative (95% CI) absolute
Hot flashes (n = 6) Randomized trials Seriousa Not seriousb No serious indirectness Seriousc None 299 269 MD = 0.28 (0.45-0.11) Low Important
Fatigue (n = 4) Randomized trials No serious risk of bias Not seriousb No serious indirectness No serious None 92 85 MD = 0.06 (1.03-0.92) Moderate Important
Pain (n = 5) Randomized trials Serious Not serious No serious indirectness Seriousc None 188 131 MD = 0.98 (0.41-213) Low Important
Stiffness (n = 4) Randomized trials No serious risk of bias Not serious No serious indirectness Seriousc None 170 116 MD = 0.62 (0.54-0.76) Low Important
Kupperman index (n = 5) Randomized trials No serious risk of bias Not serious No serious indirectness Seriousd None 83 74 MD = 0.21 (0.83-0.4) Low Imporatant
Physical well-being (n = 7) Randomized trials No serious risk of bias Seriousb No serious indirectness Seriousc None 305 271 MD = 0.07 (0.4-0.24) Low Important
TNF (n = 2) Randomized trials No serious risk of bias Not serious No serious indirectness Seriousc None 33 33 MD = 0.64 (1.83-0.53) Low Important
IL-1 (n = 2) Randomized trials No serious risk of bias No serious No serious indirectness Seriousc None 33 33 MD = 0.15 (1.36-1.65) Low Important

Abbreviations: GRADE, grading of recommendations assessment, development, and evaluation; CI, confidence interval; MD, mean differences; TNF, tumor necrosis factor; IL-1, interleukin-1; RCT, randomized controlled trial..

a

RCTs did not mention or not use the blinding method and randomized grouping.

b

Evidence of significant interstudy heterogeneity.

c

Confidence in estimates of effect is poor; RCTs do not calculate the number for optimal information size, and small sample size.

d

Similarity of point estimates, extent of overlap of CIs is poor.