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Record W2884214055 · doi:10.1159/000488707

Cupping Therapy for Knee Osteoarthritis: A Synthesis of Evidence

2018· review· en· W2884214055 on OpenAlexaboutno aff
Yuling Wang, Chun-Mei An, Shan Song, Feng-Ling Lei, Yin Wang

Bibliographic record

VenueComplementary Medicine Research · 2018
Typereview
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteoarthritisCupping therapyRandomized controlled trialConfidence intervalMeta-analysisRelative riskInternal medicinePhysical therapyMEDLINEClinical trialAcupunctureAlternative medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: This systematic review was aimed to evaluate the efficacy and safety of cupping therapy for treating patients with knee osteoarthritis (KOA). METHODS: The following databases were searched from their inception until June 2017: the Cochrane Central Register of Controlled Trials, PubMed, EMBASE, and 4 Chinese databases (Wan Fang Data, Chinese Biomedical Literature Database (CBM), VeiPu, and China National Knowledge Infrastructure (CNKI)). Randomized controlled trials (RCTs) assessing the effects of cupping therapy on KOA were included in this systematic review. A quantitative synthesis of the RCTs was conducted using RevMan 5.3 software. Study selection and data extraction and validation were performed independently by 2 reviewers. Cochrane criteria for risk of bias were used to assess the methodological quality of the trials. RESULTS: A total of 5 studies met our inclusion criteria. We analyzed the data from these 5 RCTs involving 535 participants. All included studies were judged to be at high risk for bias. Dry cupping therapy plus Western medicine therapy was more effective than Western therapy alone in reducing the pain scores (mean difference (MD) = -1.79, 95% confidence interval (CI) -2.40 to -1.18; p < 0.01). In addition, the study participants in the dry cupping therapy plus Western medicine therapy group showed significantly greater improvements in the pain (MD = -0.73, 95% CI -1.61 to -0.41; p < 0.01), stiffness (MD = -0.94, 95% CI -1.30 to -0.58; p < 0.01), and physical function (MD = -10.07, 95% CI -13.45 to -6.69; p < 0.01) domains of the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) compared to participants in the Western medicine therapy group. Moreover, when compared with Western medicine therapy alone, a meta-analysis of 4 RCTs suggested statistically significant favorable effects of wet cupping therapy plus Western medicine on the Lequesne Algofunctional Index (LAI) (MD = -3.44, 95% CI -4.21 to -2.68; p < 0.01). CONCLUSION: There is weak evidence to support the hypothesis that cupping therapy has beneficial effects on reducing the pain intensity and improving the physical function in patients with KOA.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.031
metaresearch head score (Gemma)0.119
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.031
Threshold uncertainty score0.166

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.119
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0120.013
Bibliometrics0.0140.010
Science and technology studies0.0010.002
Scholarly communication0.0050.004
Open science0.0030.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.713
GPT teacher head0.601
Teacher spread0.111 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations23
Published2018
Admission routes1
Has abstractyes

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