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Acupuncture for neck disorders

2006· reference-entry· en· W4254065984 on OpenAlexaff
Kien Trinh, Nadine Graham, Anita Gross, Charles H. Goldsmith, Ellen Wang, Ian D. Cameron, Theresa Kay

Post-publication record

NatureRetraction
ReasonTemporary Removal;
Date11/17/2016 0:00
Flagged by OpenAlex?Yes

Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2006
Typereference-entry
Languageen
Field
Topic
Canadian institutionsBaycrest HospitalMcMaster University
Fundersnot available
KeywordsJadad scaleAcupunctureMedicineRandomized controlled trialPhysical therapyNeck painMEDLINECINAHLAlternative medicinePsychological interventionSurgeryCochrane LibraryPathologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Neck pain is one of the three most frequently reported complaints of the musculoskeletal system. Treatments for neck pain are varied, as are the perceptions of benefits. Acupuncture has been used as an alternative to more traditional treatments for musculoskeletal pain. This review summarizes the most current scientific evidence on the effectiveness of acupuncture for acute, subacute and chronic neck pain. OBJECTIVES: To determine the effects of acupuncture for individuals with neck pain. SEARCH STRATEGY: We searched CENTRAL (2006, issue 1) and MEDLINE, EMBASE, MANTIS, CINAHL from their beginning to February 2006. We searched reference lists and the acupuncture database TCMLARS in China. SELECTION CRITERIA: Any published trial using randomized (RCT) or quasi-randomized (quasi-RCT) assignment to the intervention groups, either in full text or abstract form, were included. DATA COLLECTION AND ANALYSIS: Two reviewers made independent decisions for each step of the review: article inclusion, data abstraction and assessment of trial methodological quality. Study quality was assessed using the Jadad criteria. Consensus was used to resolve disagreements. When clinical heterogeneity was absent, we combined studies using random-effects meta-analysis models. MAIN RESULTS: We did not find any trials that examined the effects of acupuncture for acute or subacute pain, but we found 10 trials that examined acupuncture treatments for chronic neck pain. Overall, methodological quality had a mean of 2.3/5 on the Jadad Scale. For chronic mechanical neck disorders, there was moderate evidence that acupuncture was more effective for pain relief than some types of sham controls, measured immediately post-treatment. There was moderate evidence that acupuncture was more effective than inactive, sham treatments measured immediately post-treatment and at short-term follow-up (pooled standardized mean difference (SMD) -0.37, 95% confidence interval (CI) -0.61 to -0.12). There was limited evidence that acupuncture was more effective than massage at short-term follow-up. For chronic neck disorders with radicular symptoms, there was moderate evidence that acupuncture was more effective than a wait-list control at short-term follow-up. AUTHORS' CONCLUSIONS: There is moderate evidence that acupuncture relieves pain better than some sham treatments, measured at the end of the treatment. There is moderate evidence that those who received acupuncture reported less pain at short term follow-up than those on a waiting list. There is also moderate evidence that acupuncture is more effective than inactive treatments for relieving pain post-treatment and this is maintained at short-term follow-up.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.999
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.003

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 head0.071
GPT teacher head0.346
Teacher spread0.276 · 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.

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

Citations94
Published2006
Admission routes1
Has abstractyes

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