Evidence map›Paper›PMID 38491439›Full record

ArticleBMC complementary medicine and therapies2024

Daoyin therapy in chronic neck pain: study protocol for a randomized controlled trial.

Xiangxu Chen, Mingze Zhu, Wei Li, Daan Wang, Jing Liu

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMC complementary medicine and therapies, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 2 countries.

Xiangxu Chen *Department of Traditional Chinese Sports and Health, College of Martial Arts, Shanghai University of Sport, No. 399 Changhai Street, Shanghai City, China.
Mingze Zhu *Department of Occupational and Environmental Health, Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA.
Wei Li *Department of Athletic Training and Instruction, College of Graduate, Guangzhou Sport University, No. 1268 Guangzhou Avenue Central, Guangzhou City, China.
Daan Wang *Department of Physical Education and Health, Hainan Tropical Ocean University, No.1 Yucai Street, Sanya City, China.
Jing LiuDepartment of Traditional Chinese Sports and Health, College of Martial Arts, Shanghai University of Sport, No. 399 Changhai Street, Shanghai City, China. liujing_j3@163.com.
Shanghai University of Sport · CNGuangzhou Sport University · CNHainan Tropical Ocean University · CNUniversity of Oklahoma Health Sciences Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDaoyin therapy (DT), an ancient therapeutic approach with a history spanning thousands of years, has traditionally been employed to address musculoskeletal pain and psychosomatic disorders. However, the application of DT for chronic neck pain (CNP) has received limited attention in the existing literature, and systematic randomized clinical trials (RCTs) in this context remain scarce. This manuscript outlines an RCT protocol designed to investigate whether DT is more effective at alleviating CNP in adult individuals compared to other interventions.

methodsA 12-week RCT was conducted, with participants undergoing randomization into one of three groups: DT, Meditation + Fitness Exercise (M+FE), or a control group. Participants in the DT and M + FE groups attended their respective training classes three times per week for 12 weeks. Participants in the control group were required to attend health education workshops every 2 weeks. Following the 12-week intervention period, all participants underwent follow-up assessments at the 16th week. Outcome measures encompassed the Simplified Chinese Neck Pain and Disability Scale (SC-NPAD) and Visual Analog Scale (VAS) for pain assessment, Static Neck Posture Assessment (SNPA) to evaluate neck and shoulder posture and function, Short Form-36 (SF-36) to assess quality of life, and blood tests measuring 5-Hydroxytryptamine (5-HT), Norepinephrine/Noradrenaline (NE/NA), γ-aminobutyric acid (GABA), Adreno-Cortico-Tropic-Hormone (ACTH), β-Endorphin (β-EP), and Calcitonin-Gene-Related Peptide (CGRP) levels via high-performance liquid chromatography (HPLC), chemiluminescence immunoassay (CLIA), enzyme-linked immunosorbent assay (ELISA), and radioimmunoassay (RIA). Brain activity changes were monitored through MRI scans. Repeated measures analyses of variance (ANOVAs) will be used to evaluate the outcomes at baseline, at the 12th week, and at the 16th week. Generalized Estimating Equation (GEE) models will be applied to analyze changes in outcomes over time and differences between groups. DISCUSSION: This trial aims to evaluate the efficacy of DT in comparison to other interventions and explore the neuroendocrine mechanisms underlying its effects in adults with CNP. If the intervention and procedures demonstrate feasibility and acceptability, there are plans to conduct a more extensive controlled trial. This could potentially pave the way for the broader application of DT, not only in the context of CNP but also for other chronic diseases.

trial registrationThis trial has been registered with the Chinese Clinical Trial Registry (Registration ID: [ChiCTR2400079571]).

Indexed as

Acupuncture TherapyChronic PainAdultExerciseHumansNeck PainOutcome Assessment, Health CareRandomized Controlled Trials as TopicTreatment OutcomeChronic neck painDaoyin therapyProtocolRandomized controlled trial

Identifiers

PMID38491439
PMCPMC10941558
OpenAlexW4392863978

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.