Evidence map›Paper›PMID 30310308›Full record

ArticleJournal of pain research2018

Motion style acupuncture therapy for shoulder pain: a randomized controlled trial.

Guang-Xia Shi, Bao-Zhen Liu, Jun Wang, Qing-Nan Fu, San-Feng Sun, Rui-Li Liang, Jing Li, Jian-Feng Tu, Cheng Tan, Cun-Zhi Liu

Open access · goldAbstract read
In one paragraph

Article in Journal of pain research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Data mining-based detection of the clinical effect on motion style acupuncture therapy combined with conventional acupuncture therapy in chronic neck pain.Technology and health care : official journal of the European Society for Engineering and Medicine · 2022
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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

10 authors at 3 institutions in 1 country.

Guang-Xia ShiAcupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing100010, China.
Bao-Zhen LiuAcupuncture and Moxibustion Department, Beijing Huairou District Hospital of Traditional Chinese Medicine, Beijing 101400, China.
Jun WangDepartment of Acupuncture and Moxibustion, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing100010, China.
Qing-Nan FuAcupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing100010, China.
San-Feng SunAcupuncture and Moxibustion Department, Beijing Huairou District Hospital of Traditional Chinese Medicine, Beijing 101400, China.
Rui-Li LiangAcupuncture and Moxibustion Department, Beijing Huairou District Hospital of Traditional Chinese Medicine, Beijing 101400, China.
Jing LiDepartment of Acupuncture and Moxibustion, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing100010, China.
Jian-Feng TuAcupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing100010, China.
Cheng TanDepartment of Acupuncture and Moxibustion, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing100010, China.
Cun-Zhi LiuDepartment of Acupuncture and Moxibustion, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078, China, lcz623780@126.com.
Beijing University of Chinese Medicine · CNBeijing Hospital of Traditional Chinese Medicine · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStrategies for preventing the persistence of pain and disability beyond the acute phase in shoulder pain patients are critically needed. Conventional acupuncture therapy (CAT) or motion style acupuncture therapy (MSAT) alone results in relative improvements in painful conditions in shoulder pain patients; combined interventions may have more global effects. The aim of this study is to evaluate the efficacy and safety of MSAT vs CAT for shoulder pain.

methodsA randomized controlled trial using a factorial design was conducted from January 2014 to December 2015. Patients with a primary complaint of one-sided shoulder pain participated at three study sites. Eligible individuals were randomly assigned to receive MSAT plus minimal CAT (mCAT), CAT plus minimal MSAT (mMSAT), MSAT plus CAT, or mMSAT plus mCAT for 6 weeks in a 1:1:1:1 ratio. The primary outcome was change in shoulder pain intensity (measured using visual analog scale). The secondary outcomes included change in function of the shoulder joint (Constant-Murley score) and the health-related quality of life (Short Form-36 Health Survey). Moreover, perceived credibility of acupuncture was measured using the Treatment Credibility Scale. The outcomes were assessed at baseline and at 6, 10, and 18 weeks after randomization. Analysis of covariance with the baseline score adjustment had been used to determine the primary end point. The between-group differences of MSAT vs mMSAT and CAT vs mCAT were estimated, respectively, after tests of interaction between the two-dimensional interventions. All main analyses followed the intention-to-treat principle.

resultsA total of 164 patients completed the study. MSAT was superior to mMSAT in alleviating pain intensity at 10 weeks (

conclusionAfter 18 weeks of treatment, pain and joint functions are improved more with MSAT than with minimal motion style acupuncture or conventional acupuncture in patients with shoulder pain.

Indexed as

acupuncture therapymotion style acupuncturerandomized controlled trialshoulder pain

Identifiers

PMID30310308
PMCPMC6165767
OpenAlexW2890655805

What OpenQuestion holds

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LicenceCC BY-NC
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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.