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Record W2767698408 · doi:10.1136/acupmed-2016-011306

Updated Systematic Review and Meta-Analysis of Acupuncture for Chronic Knee Pain

2017· review· en· W2767698408 on OpenAlex
Qinhong Zhang, Jinhuan Yue, Brenda Golianu, Zhongren Sun, Ying Lü

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAcupuncture in Medicine · 2017
Typereview
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAcupuncturePhysical therapyWOMACMeta-analysisRandomized controlled trialOsteoarthritisConfidence intervalMEDLINEAdverse effectCochrane LibraryRelative riskChecklistClinical trialStrictly standardized mean differenceInternal medicineAlternative medicine

Abstract

fetched live from OpenAlex

Objective To assess the effectiveness and safety of acupuncture for the treatment of chronic knee pain (CKP). Methods We searched the MEDLINE, EMBASE, Cochrane CENTERAL, CINAHL and four Chinese medical databases from their inception to June 2017. We included randomised controlled trials of acupuncture as the sole treatment or as an adjunctive treatment for CKP. The primary outcome was pain intensity measured by visual analogue scale (VAS), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain subscale and 11-point numeric rating scale. Secondary outcome measurements included the 36-Item Short Form Health Survey and adverse events. The quality of all included studies was evaluated using the Cochrane risk-of-bias criteria and the STRICTA (Standards for Reporting Interventions in Controlled Trials of Acupuncture) checklist. Results Nineteen trials were included in this systematic review. Of these, data from 17 studies were available for analysis. Regarding the effectiveness of acupuncture alone or combined with other treatment, the results of the meta-analysis showed that acupuncture was associated with significantly reduced CKP at 12 weeks on WOMAC pain subscale (mean difference (MD) −1.12, 95% confidence interval (CI) −1.98 to −0.26, I 2 =62%, 3 trials, 608 participants) and VAS (MD −10.56, 95% CI −17.69 to −3.44, I 2 =0%, 2 trials, 145 patients). As for safety, no difference was found between the acupuncture and control groups (risk ratio 1.08, 95% CI 0.54 to 2.17, I 2 =29%). Conclusion From this systematic review, we conclude that acupuncture may be effective at relieving CKP 12 weeks after acupuncture administration, based on the current evidence and our protocol. However, given the heterogeneity and methodological limitations of the included trials, we are currently unable to draw any strong conclusions regarding the effectiveness of acupuncture for chronic knee pain. In addition, we found that acupuncture appears to have a satisfactory safety profile, although further studies with larger numbers of participants are needed to confirm the safety of this technique. Strengths Systematic review without language restrictions. Limitations Only a few high-quality and consistent trials could be included in this review.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.558
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.013
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0660.008
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.230
GPT teacher head0.490
Teacher spread0.260 · 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