Unknown

Dataset Information

0

Acupuncture for Chronic Pain-Related Insomnia: A Systematic Review and Meta-Analysis.


ABSTRACT: Objectives. Acupuncture has been widely used to relieve chronic pain-related insomnia (CPRI). However, the efficacy of acupuncture for CPRI is uncertain. The purpose of this study was to evaluate the efficacy of acupuncture for CPRI. Methods. Seven electronic databases were searched from inception to December 2018. Randomized controlled trials (RCTs) were included if acupuncture was compared to sham acupuncture or conventional drug therapies for treating CPRI. Two reviewers screened each study and extracted data independently. Statistical analyses were conducted by RevMan 5.3 software. Results. A total of nine studies involving 944 patients were enrolled. The pooled analysis indicated that acupuncture treatment was significantly better than control group in improving effective rate (OR = 8.09, 95%CI = [4.75, 13.79], P < 0.00001) and cure rate (OR = 3.17, 95%CI = [2.35, 4.29], P < 0.00001), but subgroup analysis showed that there was no statistically significant difference between acupuncture and sham acupuncture in improving cure rate (OR =10.36, 95% CI [0.53, 201.45], P=0.12) based on one included study. In addition, meta-analysis demonstrated that acupuncture group was superior to control group in debasing PSQI score (MD = -2.65, 95%CI = [-4.00, -1.30], P = 0.0001) and VAS score (MD = -1.44, 95%CI = [-1.58, -1.29], P < 0.00001). And there was no significant difference in adverse events (OR =1.73, 95%CI = [0.92, 3.25], P =0.09) between the two groups. Conclusions. Acupuncture therapy is an effective and safe treatment for CPRI, and this treatment can be recommended for the management of patients with CPRI. Due to the low quality and small sample size of the included studies, more rigorously designed RCTs with high quality and large sample size are recommended in future.

SUBMITTER: Liu F 

PROVIDER: S-EPMC6612974 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC7925064 | biostudies-literature
| S-EPMC7542929 | biostudies-literature
| S-EPMC8453671 | biostudies-literature
| S-EPMC10896907 | biostudies-literature
| S-EPMC9979218 | biostudies-literature
| S-EPMC9732484 | biostudies-literature
| S-EPMC4158087 | biostudies-other
| S-EPMC8304652 | biostudies-literature
| S-EPMC5829818 | biostudies-other
| S-EPMC9799057 | biostudies-literature