Identification of the optimal points for the acupuncture treatment of neck pain in China: protocol for a multicenter, matched, case-control study.

INTRODUCTION: Neck pain (NP) is a common condition that can be effectively treated by acupuncture. However, several treatment point prescriptions (ie, local acupoints, distal acupoints, and sensitised acupoints) may be used. The present study aims to identify the types of sensitisation and the distribution of sensitised points in patients with NP, to analyse the cut-off values and sensitisation rate for acupoint sensitisation, and to summarise the dominant forms of optimally sensitised points. This information will be helpful when choosing the optimal points to treat NP. METHODS AND ANALYSIS: This multicentre, matched, case-control study will enrol 224 patients with NP, and 224 age-matched and sex-matched healthy participants as controls. Body surface temperature, mechanical pain threshold, pressure pain threshold and skin resistance will be assessed at the 15 acupoints most frequently used to treat NP, and at the five body regions in which pain occurs most frequently. Hypothesis testing will be used to compare the differences in variables between cases and controls. In addition, receiver operating characteristic curve analysis will be used to explore the cut-off values of the sensitive states of heat, pain and electrical resistance, which indicate sensitisation of the acupoint. The optimal points will be comprehensively determined by the acupoint sensitisation rate and OR. ETHICS AND DISSEMINATION: Ethical approval of this study has been granted by the Research Ethical Committee of the Teaching Hospital of Chengdu University of Traditional Chinese Medicine (ID: 2018 KL-016). The outcomes of the study will be disseminated through peer-reviewed publications. TRIAL REGISTRATION: ChiCTR1800016220.

Acupuncture for chronic neck pain with sensitive points: study protocol for a multicentre randomised controlled trial.

INTRODUCTION: Chronic neck pain is a challenging condition to treat in clinical practice and has a considerable impact on quality of life and disability. According to the theory of traditional Chinese medicine, acupoints and tender points may become sensitised when the body is in a diseased state. Stimulation of such sensitive points may lead to disease improvement and improved clinical efficacy. This study aims to evaluate the efficacy and safety of needling at sensitive acupoints in providing pain relief, improvement of cervical vertebral function and quality of life in patients with chronic neck pain. METHODS AND ANALYSIS: This multicentre, randomised controlled, explanatory and parallel clinical trial will include 716 patients with chronic neck pain. Study participants will be randomly assigned in a 1:1:1:1 ratio to four treatment groups: the highly sensitive acupoints group, low/non-sensitive acupoints group, sham acupuncture group and waiting-list control group. The primary outcome will be the change in the visual analogue scale score for neck pain from baseline to 4 weeks. Secondary outcomes will be the Northwick Park Neck Pain Questionnaire and McGill pain questionnaire, 12-item Short-Form health survey, Neck Disability Index, changes in the pressure pain threshold, range of cervical motion, Self-Rating Anxiety Scale, Self-Rating Depression Scale and adverse events before treatment, post-treatment, and at 4, 8, 12, 16 and 20 weeks post-treatment. The intention-to-treat approach will be used in the statistical analysis. Group comparisons will be undertaken using χ2 tests for categorical characteristics, and analysis of variance for continuous variables to analyse whether acupuncture in the highly sensitive acupoints group achieves better treatment outcomes than in each of the other three groups. ETHICS AND DISSEMINATION: Ethical approval of this study has been granted by the local Institutional Review Board (ID: 2017 KL-038). The outcomes of the trial will be disseminated through peer-reviewed publications. TRIAL REGISTRATION NUMBER: ChiCTR1800016371; Pre-results.