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[Acupuncture combined with <i>tuina</i> therapy for stiff neck with levator scapula injury type: a randomized controlled trial].

2024· article· en· W4399656494 on OpenAlexaboutno aff
Bo Li, Mailing Huang, Xiyu Shang, Yumeng Dong, Yuqing Cao, Bowen Liang, Liping Zhao, Jingyue Luo, Guangkun Chen, Yan Ma

Bibliographic record

VenuePubMed · 2024
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAcupunctureMedicinePsychologyTraditional medicinePhysical medicine and rehabilitationAlternative medicinePathology

Abstract

fetched live from OpenAlex

OBJECTIVE: therapy for stiff neck with levator scapula injury type. METHODS: therapy, followed immediately by acupuncture treatment at the Houxi (SI 3). Treatments were administered every other day for a total of three sessions. Before treatment and on 1, 3, and 7 days after treatment, the simple McGill pain questionnaire (SF-MPQ) scores [including the pain rating index (PRI), visual analogue scale (VAS), and present pain intensity (PPI) scores] of the head, neck and shoulder, cervical spine mobility scores were observed, and the clinical efficacy and safety of each group were evaluated. RESULTS: <0.01). During the treatment period, no serious adverse reactions occurred in any group. CONCLUSION: and acupuncture therapy alone.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.167
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.283
Teacher spread0.266 · 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.

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

Citations3
Published2024
Admission routes1
Has abstractyes

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