Effectiveness of acupuncture intervention for neck pain caused by cervical spondylosis: study protocol for a randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Neck pain caused by cervical spondylosis has become a common health problem worldwide among >40-year-old adults. Acupuncture intervention is one of the most popular treatment measures for this disorder. However, evidence for its efficacy in relieving neck pain and recovering neck physiological function has not been established in randomized, placebo-controlled trials. The primary aim of this trial is to assess the efficacy and safety of active acupuncture compared with sham acupuncture intervention for neck pain caused by cervical spondylosis. METHODS/DESIGN: We will conduct a randomized, double-blind, parallel-group, placebo-controlled trial comparing active acupuncture with placebo (sham acupuncture). A total of 456 patients with neck pain caused by cervical spondylosis who meet the eligibility criteria from outpatient clinics of the Second People's Hospital of Fujian Province and the Affiliated Rehabilitation Hospital, Fujian University of Traditional Chinese Medicine will be recruited and randomized into an active acupuncture or sham acupuncture group. The participants will undergo treatment sessions with either active or sham acupuncture intervention five times a week for 2 weeks. Evaluation by blinded assessors at baseline and at intervention for 1 and 2 weeks will include demographic characteristics, validated questionnaires (Northwick Park Neck Pain Questionnaire (NPQ) scale, Short-Form 36 (SF-36) scale, and McGill pain scale), examination of neck physiological function, and adverse events. All included patients will be followed up and investigated for relapse of neck pain at 4, 8, and 12 weeks after intervention. DISCUSSION: This paper describes the rationale and design of a randomized double-blind, placebo-controlled trial that aims to determine the efficacy and safety of acupuncture intervention for neck pain caused by cervical spondylosis. The primary outcomes are changes in the NPQ score and neck physiological function. Secondary outcome measures include quality of life, adverse events, and relapse of neck pain. If successful, this project will provide evidence of the efficacy and safety of acupuncture for neck pain caused by cervical spondylosis. TRIAL REGISTRATION: Chinese Clinical Trial Registry: ChiCTR-TRC-12002206. Registration date: 11 May 2012.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.030 | 0.033 |
| Meta-epidemiology (narrow) | 0.008 | 0.003 |
| Meta-epidemiology (broad) | 0.019 | 0.007 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.065 | 0.009 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".