| Literature DB >> 31855257 |
Yihan He1,2, Xinfeng Guo1, Brian H May2, Anthony Lin Zhang2, Yihong Liu1, Chuanjian Lu1, Jun J Mao3, Charlie Changli Xue1,2, Haibo Zhang1.
Abstract
Importance: Research into acupuncture and acupressure and their application for cancer pain has been growing, but the findings have been inconsistent. Objective: To evaluate the existing randomized clinical trials (RCTs) for evidence of the association of acupuncture and acupressure with reduction in cancer pain. Data Sources: Three English-language databases (PubMed, Embase, and CINAHL) and 4 Chinese-language biomedical databases (Chinese Biomedical Literature Database, VIP Database for Chinese Technical Periodicals, China National Knowledge Infrastructure, and Wanfang) were searched for RCTs published from database inception through March 31, 2019. Study Selection: Randomized clinical trials that compared acupuncture and acupressure with a sham control, analgesic therapy, or usual care for managing cancer pain were included. Data Extraction and Synthesis: Data were screened and extracted independently using predesigned forms. The quality of RCTs was appraised with the Cochrane Collaboration risk of bias tool. Random-effects modeling was used to calculate the effect sizes of included RCTs. The quality of evidence was evaluated with the Grading of Recommendations Assessment, Development and Evaluation approach. Main Outcomes and Measures: The primary outcome was pain intensity measured by the Brief Pain Inventory, Numerical Rating Scale, Visual Analog Scale, or Verbal Rating Scale.Entities:
Year: 2020 PMID: 31855257 PMCID: PMC6990758 DOI: 10.1001/jamaoncol.2019.5233
Source DB: PubMed Journal: JAMA Oncol ISSN: 2374-2437 Impact factor: 31.777
Figure 1. Flow Diagram
Summary of Findings
| Certainty Assessment | No. of Patients | Effect Size | Level of Certainty | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| No. of Studies | Source | Risk of Bias | Inconsistency | Indirectness | Imprecision | Publication Bias | Acupuncture and/or Acupressure Group | Control Group | Mean Difference (95% CI) | |
| Real vs sham acupuncture for reducing pain intensity | ||||||||||
| 7 | Hershman et al,41 2018; Ruela et al,47 2018; Kim and Lee,48 2018; Mao et al,53 2014; Chen et al,56 2013; Crew et al,60 2010; Alimi et al,62 2003 | Not serious | Serious | Not serious | Not serious | Undetected | 226 | 172 | −1.38 points (−2.13 to −0.64) | Moderate |
| Acupuncture and/or acupressure plus analgesics vs analgesics only for reducing pain intensity | ||||||||||
| 6 | Wang et al,49 2017; Shen et al,50 2016; Wang et al,51 2015; Guo et al,52 2015; Zhu et al,54 2013; Jiang,58 2011 | Serious | Serious | Not serious | Not serious | Undetected | 195 | 195 | −1.44 points (−1.98 to −0.89) | Low |
| Acupuncture vs wait-list control for reducing pain intensity | ||||||||||
| 3 | Hershman et al,41 2018; Mao et al,53 2014; Pfister et al,59 2010 | Serious | Not serious | Not serious | Not serious | Undetected | 151 | 104 | −1.63 points (−2.14 to −1.13) | Moderate |
| Acupuncture and/or acupressure plus analgesics vs analgesics only for reducing analgesic dose | ||||||||||
| 2 | Wang et al,49 2017; Zhu et al,54 2013 | Serious | Not serious | Not serious | Not serious | Undetected | 53 | 53 | −30.00 mg of morphine equivalent daily dose (−37.5 to −22.5) | Moderate |
Heterogeneity: I2 = 81%.
High risk of performance and detection bias owing to nonblinding.
Heterogeneity: I2 = 92%.
Figure 2. Forest Plot of the Estimated Association of Acupuncture and Acupressure With Cancer Pain Intensity
The squares show the results of each subgroup analysis, and the diamond indicates the pooled effect size of all subgroups. NA indicates not applicable.
Figure 3. Forest Plot of the Subgroup Analyses of the Association of Acupuncture and Acupressure With Different Cancer Pain Intensity
NA indicates not applicable.