Effectiveness of ischemic compression on myofascial trigger points in relieving neck pain: A systematic review and meta-analysis.

BACKGROUND: Ischemic compression is widely used to clinically treat neck pain. However, no meta-analysis has been conducted to evaluate the effects of this process on neck pain. OBJECTIVE: This study aimed to evaluate the effects of ischemic compression on the myofascial trigger points for improving neck pain-related symptoms (mainly pain, joint mobility limitation and function limitation) and to compare ischemic compression with other therapies. METHODS: Electronic searches were conducted in PubMed, OVID, Web of Science, EBSCO, SCOUPS, Cochrane Library, PEDro, Wanfang, CNKI and Chinese VIP Database in June 2021. Only randomised controlled trials on the effects of ischemic compression on neck pain were included. The major outcomes were pain intensity, pressure pain threshold, pain-related disability and range of motion. RESULTS: Fifteen studies involving 725 participants were included. Significant differences were observed between ischemic compression and sham/no treatment group in pain intensity, pressure pain threshold and range of motion immediately and in the short term. Significant effect sizes of dry needling were observed over ischemic compression in terms of improving pain intensity (SMD = 0.62; 95% CI: 0.08 to 1.16; P= 0.02), pain-related disability (SMD = 0.68; 95% CI: 0.19 to 1.17; P= 0.007) and range of motion (MD =-2.12; 95% CI: -2.59 to -1.65; P< 0.001) immediately after treatment. Dry needling also showed a significant small effect size for the short-term reduction of pain (SMD = 0.44; 95% CI: 0.04 to 0.85; P= 0.03). CONCLUSION: Ischemic compression can be recommended in the immediate and short-term pain relief and increase in the pressure pain threshold and range of motion. Dry needling is superior to ischemic compression in relieving pain and improving pain-related disability and range of motion immediately after treatment.

Mirror Visual Feedback Prior to Robot-Assisted Training Facilitates Rehabilitation After Stroke: A Randomized Controlled Study.

Purpose: Robot-assisted training has been widely used in neurorehabilitation, but its effect on facilitating recovery after stroke remains controversial. One possible reason might be lacking consideration of the role of embodiment in robotic systems. Mirror visual feedback is an ideal method to approach embodiment. Thus, we hypothesized that mirror visual feedback priming with subsequent robot-assisted training might provide additional treatment benefits in rehabilitation. Method: This is a prospective, assessor-blinded, randomized, controlled study. Forty subacute stroke patients were randomly assigned into an experimental group (N = 20) or a control group (N = 20). They received either mirror visual feedback or sham-mirror visual feedback prior to robot-assisted training for 1.5 h/day, 5 days/week for 4 weeks. Before and after intervention, the Fugl-Meyer Assessment Upper Limb subscale, the Functional Independence Measure, the modified Barthel Index, and grip strength were measured. Scores of four specified games were recorded pre and post one-time mirror visual feedback priming before intervention in the experimental group. Results: All measurements improved significantly in both groups following interventions. Moreover, the Fugl-Meyer Assessment Upper Limb subscale, self-care subscale of the Functional Independence Measure, and the grip strength were improved significantly in the experimental group after a 4-week intervention, compared with the control group. Significantly higher scores of two games were revealed after one-time priming. Conclusions: Mirror visual feedback prior to robot-assisted training could prompt motor recovery, increase ability of self-care, and potentially enhance grip strength in stroke patients, compared to control treatment. Moreover, mirror visual feedback priming might have the capability to improve the patient's performance and engagement during robot-assisted training, which could prompt the design and development of robotic systems. Clinical Trial Registration: www.ClinicalTrials.gov, identifier: ChiCTR1900023356.