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. 2020 Nov 20;99(47):e23244.
doi: 10.1097/MD.0000000000023244.

Acupuncture for diabetic neuropathic pain: A protocol for systematic review and meta analysis

Affiliations

Acupuncture for diabetic neuropathic pain: A protocol for systematic review and meta analysis

Liqin Wang et al. Medicine (Baltimore). .

Abstract

Background: Diabetic neuropathic pain (DNP) is a common complication of diabetes mellitus, it severely affects the quality of life of Diabetic patients. Acupuncture is proofed to have favorable effects in treating DNP, however, evidence needs to be gathered and interpreted. We will make a comprehensive review of clinical trials concerning acupuncture in treating DNP and do meta-analysis if possible.

Method: The following databases will be searched from the inception to September 2020: PubMed, Embase, Web of Science, China National Knowledge Infrastructure, Wan-Fang Database, and Chinese Scientific Journal Database. RCTs that evaluated acupuncture for patients with DNP will be included. The primary outcome will be patient-reported pain intensity using validated scales or verbal reporting. The secondary outcomes including the Toronto clinical scoring system, Sensory Nerve Conduction Velocity, Motor Nerve Conduction Velocity, and quality of life. The study selection, data extraction, and study quality evaluation will be performed independently by 2 researchers. A meta-analysis will be performed using RevMan V5.3 statistical software if possible; otherwise, descriptive analysis or subgroup analysis will be conducted. The quality of evidence for outcomes will be assessed with the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach.

Results: This study will evaluate the effect and safety of acupuncture in treating DNP.

Conclusions: The evidence we generated from the present study will provide more options for DNP management in clinical practice.

Systematic review registration: INPLASY202090043.

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Conflict of interest statement

The authors report no conflicts of interest.

Figures

Figure 1
Figure 1
Flow chart of study selection.

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