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Record W2159052784 · doi:10.1136/aim.24.suppl.7

Acupuncture for Knee Osteoarthritis – a Randomised Trial Using a Novel Sham

2006· article· en· W2159052784 on OpenAlexfundaboutno aff
Eric Manheimer, Byungmook Lim, Lixing Lao, Brian Berman

Bibliographic record

VenueAcupuncture in Medicine · 2006
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
FundersNational Center for Complementary and Integrative HealthNational Center for Complementary and Alternative MedicineMcMaster University
KeywordsMedicineWOMACAcupunctureOsteoarthritisPhysical therapyRandomized controlled trialClinical trialRheumatologyInternal medicineAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Evidence on the efficacy of acupuncture for reducing the pain and dysfunction of osteoarthritis is equivocal. OBJECTIVE: To determine whether acupuncture provides greater pain relief and improved function compared with sham acupuncture or education in patients with osteoarthritis of the knee. DESIGN: Randomised, controlled trial. SETTING: Two outpatient clinics (an integrative medicine facility and a rheumatology facility) located in academic teaching hospitals and one clinical trials facility. PATIENTS: 570 patients with osteoarthritis of the knee (mean age [+/-SD], 65.5 +/- 8.4 years). INTERVENTION: 23 true acupuncture sessions over 26 weeks. Controls received 6 two-hour sessions over 12 weeks or 23 sham acupuncture sessions over 26 weeks. MEASUREMENTS: Primary outcomes were changes in the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain and function scores at 8 and 26 weeks. Secondary outcomes were patient global assessment, 6-minute walk distance, and physical health scores of the 36-Item Short-Form Health Survey (SF-36). RESULTS: Participants in the true acupuncture group experienced greater improvement in WOMAC function scores than the sham acupuncture group at 8 weeks (mean difference, -2.9 [95% CI, -5.0 to -0.8]; P=0.01) but not in WOMAC pain score (mean difference, -0.5 [CI, -1.2 to 0.2]; P=0.18) or the patient global assessment (mean difference, 0.16 [CI, -0.02 to 0.34]; P> 0.2). At 26 weeks, the true acupuncture group experienced significantly greater improvement than the sham group in the WOMAC function score (mean difference, -2.5 [CI, -4.7 to -0.4]; P=0.01), WOMAC pain score (mean difference, -0.87 [CI, -1.58 to -0.16]; P=0.003), and patient global assessment (mean difference, 0.26 [CI, 0.07 to 0.45]; P=0.02). LIMITATIONS: At 26 weeks, 43% of the participants in the education group and 25% in each of the true and sham acupuncture groups were not available for analysis. CONCLUSIONS: Acupuncture seems to provide improvement in function and pain relief as an adjunctive therapy for osteoarthritis of the knee when compared with credible sham acupuncture and education control groups.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.025
GPT teacher head0.293
Teacher spread0.268 · 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 designRandomized trial
Domainnot available
GenreEmpirical

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

Citations25
Published2006
Admission routes2
Has abstractyes

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