Evidence map›Paper›PMID 32552731›Full record

ArticleTrials2020

Acupuncture for primary fibromyalgia: Study protocol of a randomized controlled trial.

Man Han, Jiakang Cui, Yuya Xiao, Donghong Xiao, Juan Jiao, Qiuwei Peng, Feng Tian, Xiaopo Tang, Jianyong Zhang, Quan Jiang

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
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 4 institutions in 1 country.

Man HanDepartment of Rheumatology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Jiakang CuiDepartment of Rheumatology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Yuya XiaoDepartment of Rheumatology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.
Donghong XiaoBeijing University of Chinese Medicine, Beijing, China.
Juan JiaoDepartment of Rheumatology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Qiuwei PengDepartment of Rheumatology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Feng TianBeijing CreateMed Medicine Technology Co., LTD, Beijing, China.
Xiaopo TangDepartment of Rheumatology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Jianyong ZhangDepartment of Rheumatology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China. 13823396319@163.com.
Quan JiangDepartment of Rheumatology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China. jiang.quan@hotmail.com.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNGuang’anmen Hospital · CNShenzhen Pingle Orthopedic Hospital · CNBeijing University of Chinese Medicine · CN

Funding

Fundamental Research Funds for the Central Public Welfare Research Institutes ZZ13-YQ033Guang'anmen Hospital, China Academy of Chinese Medical Sciences-National Chinese Medicine Clinical Research Model Basement 2017S381Sanming Project of Medicine in Shenzhen SZSM201612080
6 · The paper itself

Abstract

backgroundAcupuncture is well recognized for its unique therapeutic effect for many diseases as a nonpharmacological therapy in traditional Chinese medicine (TCM). However, whether acupuncture can effectively treat fibromyalgia is currently unclear. Therefore, we aim to design a study protocol of a randomized controlled clinical trial and assess the effectiveness of acupuncture for patients with fibromyalgia, which may lead to alleviation of clinical symptoms and improvement of patients' quality of life.

methodsThe study is designed as a randomized, blinded, placebo-controlled trial of two cohorts conducted at Guang'anmen Hospital of China Academy of Chinese Medical Sciences and Shenzhen Traditional Chinese Medicine Hospital, respectively. A total of 68 patients with primary fibromyalgia, diagnosed with the American College of Rheumatology criteria, are randomly allocated with a 1:1 ratio to acupuncture or sham acupuncture groups. All subjects will receive acupuncture intervention for 8 weeks with follow-up assessments every 4 weeks for 16 weeks. The primary outcome will be evaluated using the visual analogue scale (VAS) and revised fibromyalgia impact questionnaire (FIQR) for pain intensity. The secondary outcome measures will include: Multidimensional Assessment of Fatigue scale (MAF), Short Form-36 (SF-36), Beck Depression Inventory (BDI), Pittsburgh Sleep Quality Index (PSQI), Chinese perceived stress scales (pss-14), changes in the number of 18 tender points, patient satisfaction for the treatment and adverse events. The mentioned outcome measurements will be assessed every 4 weeks for 6 months. DISCUSSION: This clinical trial will use advanced research methods to evaluate the efficacy and safety of acupuncture on fibromyalgia. The results of this trial may provide clinical evidence on the beneficial effects of acupuncture in treating fibromyalgia.

trial registrationChinese Clinical Trial Registry, ChiCTR1800016826: AMCTR-IOR-18000184. Registered 27 June 2018, http://www.acmctr.org/listbycreater.aspx.

Indexed as

Acupuncture TherapyChinaDepressionFibromyalgiaHumansMedicine, Chinese TraditionalMulticenter Studies as TopicPain MeasurementPatient SatisfactionPatient SelectionPsychiatric Status Rating ScalesQuality of LifeRandomized Controlled Trials as TopicTime FactorsTreatment OutcomeAcupunctureFatiguePainPrimary fibromyalgiaRandomized controlled trial

Identifiers

PMID32552731
PMCPMC7301472
OpenAlexW3036300114

What OpenQuestion holds

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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.