A protocol for a prospective single-blind parallel four-arm randomized placebo-controlled trial with repeated measures was designed to test the effects of various acupuncture methods compared with sham. Eighty self-selected participants with myofascial pain in the upper trapezius muscle were randomized into four groups. Group 1 received acupuncture to a myofascial trigger point (MTrP) in the upper trapezius. Group 2 received acupuncture to the MTrP in addition to relevant distal points. Group 3 received acupuncture to the relevant distal points only. Group 4 received a sham treatment to both the MTrP and distal points using a deactivated acupuncture laser device. Treatment was applied four times within 2 weeks with outcomes measured throughout the trial and at 2 weeks and 4 weeks posttreatment. Outcome measurements were a 100-mm visual analog pain scale, SF-36, pressure pain threshold, Neck Disability Index, the Upper Extremity Functional Index, lateral flexion in the neck, McGill Pain Questionnaire, Massachusetts General Hospital Acupuncture Sensation Scale, Working Alliance Inventory (short form), and the Credibility Expectance Questionnaire. Two-way analysis of variance (ANOVA) with repeated measures were used to assess the differences between groups.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jams.2016.11.007DOI Listing

Publication Analysis

Top Keywords

group received
16
upper trapezius
12
received acupuncture
12
distal points
12
pain upper
8
trapezius muscle
8
repeated measures
8
relevant distal
8
points group
8
acupuncture
7

Similar Publications

Background: Manual extraction of real-world clinical data for research can be time-consuming and prone to error. We assessed the feasibility of using natural language processing (NLP), an AI technique, to automate data extraction for patients with advanced lung cancer (aLC). We assessed the external validity of our NLP-extracted data by comparing our findings to those reported in the literature.

View Article and Find Full Text PDF

Objectives: The lack of definitive biomarkers presents a significant challenge for chemo-immunotherapy in extensive-stage small-cell lung cancer (ES-SCLC). We aimed to identify key genes associated with chemo-immunotherapy efficacy in ES-SCLC through comprehensive gene expression analysis using machine learning (ML).

Methods: A prospective multicenter cohort of patients with ES-SCLC who received first-line chemo-immunotherapy was analyzed.

View Article and Find Full Text PDF

Objective: The agitation that can occur in patients undergoing vitreoretinal surgery on awakening from general anesthesia is a serious post-operative problem. In our study, we aimed to compare the effects of different anesthesia methods on emergence agitation in patients undergoing vitreoretinal surgery.

Method: Patients undergoing vitreoretinal surgery were divided into two groups: Total intravenous anesthesia (Group T) and inhalation anesthesia (Group D) according to the maintenance of anesthesia applied by consulting the records.

View Article and Find Full Text PDF

Right ventricular injury (RVI) in respiratory failure receiving veno-venous extracorporeal membrane oxygenation (VV ECMO) is associated with significant mortality. A scoping review is necessary to map the current literature and guide future research regarding the definition and management of RVI in patients receiving VV ECMO. We searched for relevant publications on RVI in patients receiving VV ECMO in Medline, EMBASE, and Web of Science.

View Article and Find Full Text PDF

A New Way Forward for Women's Health Research at the National Institutes of Health: A Roadmap From the National Academies of Sciences, Engineering, and Medicine's Consensus Report.

Obstet Gynecol

January 2025

Department of Obstetrics and Gynecology, Spencer Fox Eccles School of Medicine, University of Utah Health, Salt Lake City, Utah; the Department of Obstetrics and Gynecology, Warren Alpert Medical School at Brown University, and Women and Infants Hospital of Rhode Island, Providence, Rhode Island; the National Academies of Sciences, Engineering, and Medicine, and Baker Donelson, Washington, DC; KFF, San Francisco, California; and the Department of Obstetrics and Gynecology, Duke Cancer Institute, Duke School of Medicine, Durham, North Carolina. All authors served on the National Academies Committee as committee members or employees of the National Academies.

Despite efforts to address inequities, research on women's health conditions (defined as those that uniquely or differently affect women and female individuals) remain significantly understudied. As directed by Congress, the National Institutes of Health (NIH) Office of Research on Women's Health requested the National Academies of Sciences, Engineering, and Medicine (National Academies) to conduct an assessment of the state of women's health research at the NIH. The findings of the National Academies committee include: 1) a significant funding inequity, with less than 8% of the total NIH grant budget for fiscal year 2023 allocated to women's health research; 2) a need for improved strategic NIH-wide priority setting, oversight, and adherence to existing policies to support women's health research; 3) a need for a specific institute for research on conditions specific to women's health; and 4) a need for sufficient training and additional funding to grow and retain the women's health research workforce.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!