Evidence map›Paper›PMID 20423209›Full record

SynthesisJournal of alternative and complementary medicine (New York, N.Y.)2010

Traditional Chinese Medicine for treatment of fibromyalgia: a systematic review of randomized controlled trials.

Huijuan Cao, Jianping Liu, George T Lewith

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of alternative and complementary medicine (New York, N.Y.), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01869712 (Using Partially Randomized Patient Preference Research Model for Evaluation the Therapeutic Effect of Non-pharmaceutical Therapies), which is not on this map. Cited by 36 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 9 pooled it
6.0field-weighted citation impact, top 3% 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.

NCT01869712 nacompletednot on this mapstarted 2013, after this paper: background citation

Using Partially Randomized Patient Preference Research Model for Evaluation the Therapeutic Effect of Non-pharmaceutical Therapies: Protocol for a Feasibility Study

TypeinterventionalSponsorBeijing University of Chinese MedicineRan2013 to 2017Enrolled126ConditionsFibromyalgiaArmsCupping therapy, Acupuncture
3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 9 syntheses or guidelines pooled it, 105 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Acupuncture for treating fibromyalgia.The Cochrane database of systematic reviews · 2013
    Pooled it
  6. Pooled it
  7. Guideline
  8. Pooled it
  9. Guideline
  10. Trial
  11. Article
  12. Article
  13. Review
  14. Cupping (Hijama) in Rheumatic Diseases: The Evidence.Mediterranean journal of rheumatology · 2021
    Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

3 authors at 2 institutions in 3 countries.

Huijuan CaoCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Jianping Liu
George T Lewith
Beijing University of Chinese Medicine · CNUniversity of Southampton · GB

Funding

Cochrane Complementary Medicine Field: Resource for ResearchR24AT001293 · NCCIH · UNIVERSITY OF MARYLAND BALTIMORE · PI BERMAN, BRIAN M, WIELAND, LISA SUSAN · 2003 to 2022
$9.4M
NCCIH NIH HHS R24 AT001293
6 · The paper itself

Abstract

backgroundTraditional Chinese Medicine (TCM) is popular for treatment of fibromyalgia (FM) although there is a lack of comprehensive evaluation of current clinical evidence for TCM's therapeutic effect and safety.

objectiveTo review systematically the beneficial and harmful effects of TCM therapies for FM.

methodsWe searched six English and Chinese electronic databases for randomized clinical trials (RCTs) on TCM for treatment of FM. Two authors extracted data and assessed the trial quality independently. RevMan 5 software was used for data analyses with an effect estimate presented as mean difference (MD) with a 95% confidence interval (CI).

resultsTwenty-five RCTs were identified with 1516 participants for this review. Seven trials (28%) were evaluated as having a low risk of bias and the remaining trials were identified as being as unclear or having a high risk of bias. Overall, ten trials were eligible for the meta-analysis, and data from remaining 15 trials were synthesized qualitatively. Acupuncture reduced the number of tender points (MD, -3.21; 95% CI -4.23 to -2.11; p < 0.00001, I(2) = 0%), and pain scores compared with conventional medications (MD, -1.78; 95% CI, -2.24 to -1.32; p < 0.00001; I(2) = 0%). Acupuncture showed no significant effect, with a random-effect model, compared with sham acupuncture (MD, -0.55; 95% CI, -1.35-0.24; p = 0.17; I(2) = 69%), on pain reduction. A combination of acupuncture and cupping therapy was better than conventional medications for reducing pain (MD, -1.66; 95% CI, -2.14 to -1.19; p < 0.00001; I(2) = 0%), and for improving depression scores with related to FM (MD, -4.92; 95% CI, -6.49 to -3.34; p < 0.00001; I(2) = 32%). Other individual trials demonstrated positive effects of Chinese herbal medicine on pain reduction compared with conventional medications. There were no serious adverse effects reported that were related to TCM therapies in these trials.

conclusionsTCM therapies appear to be effective for treating FM. However, further large, rigorously designed trials are warranted because of insufficient methodological rigor in the included trials.

Indexed as

Acupuncture TherapyMedicine, Chinese TraditionalPain ManagementPhytotherapyDepressionDrugs, Chinese HerbalFibromyalgiaHumansMassagePainRandomized Controlled Trials as TopicDrugs, Chinese Herbal

Identifiers

PMID20423209
PMCPMC3110829
OpenAlexW1989404242

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.