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Record W2167421309 · doi:10.1186/1745-6215-14-360

Electroacupuncture at Jing-jiaji points for neck pain caused by cervical spondylosis: a study protocol for a randomized controlled pilot trial

2013· article· en· W2167421309 on OpenAlexaboutno aff
Zhongren Sun, Jinhuan Yue, Qinhong Zhang

Bibliographic record

VenueTrials · 2013
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
FundersHeilongjiang University
KeywordsMedicineCervical spondylosisAcupunctureNeck painElectroacupunctureRandomized controlled trialMcGill Pain QuestionnairePhysical therapyRandomizationClinical trialVisual analogue scaleSurgeryAlternative medicineInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Neck pain caused by cervical spondylosis (CS) has become one of the most common health problems around the world. Electroacupuncture (EA) has been employed to relieve CS neck pain, but there is limited clinical evidence for its effectiveness. METHODS/DESIGN: This study consists of a randomized controlled trial (RCT) with two parallel arms: an acupuncture group and an EA group. Both groups will receive acupuncture at Jing-jiaji points for 30 minutes each time, for five sessions per week for a total of 20 sessions during this four-week period. In addition, the EA group will be connected with EA apparatus. The following outcome measurements will be used in examination of subjects: the Northwick Park Neck Pain Questionnaire (NPQ), McGill Pain Questionnaire (MPQ), and Short-Form 36 (SF-36) scale. All these outcomes will be examined at the start of the study, at the end of the second week, at four weeks after randomization, and one and three months after treatment cessation respectively. DISCUSSION: This study aims to assess the efficacy of EA, compared with acupuncture intervention at Jing-jiaji points for the CS neck pain. TRIAL REGISTRATION: Chinese Clinical Trials Register: ChiCTR-TRC-13003422.

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 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)0.022
metaresearch head score (Gemma)0.064
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.159
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0220.064
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0100.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.102
GPT teacher head0.437
Teacher spread0.335 · 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 teacher head, not a consensus.

Study designRandomized trial
Domainnot available
GenreProtocol

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

Citations30
Published2013
Admission routes1
Has abstractyes

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