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[Clinical effect of indirect moxibustion with <i>Taiyi</i> moxa stick in treatment of back myofascitis: a randomized controlled trial].

2024· article· en· W4404434636 on OpenAlexaboutno aff
Bihui Peng, Guanqun Wang, Wei-Mei Zeng, Xiaolong Xie, Jing Liu, Ziting Wang, Bing Hong, Jiping Zhao

Bibliographic record

VenuePubMed · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMyofascial pain diagnosis and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMoxibustionMedicineEnvironmental sciencePsychologyAlternative medicineAcupuncture

Abstract

fetched live from OpenAlex

OBJECTIVE: moxa stick on pain severity and the quality of life in the patients with back myofascitis, and evaluate its clinical effect and safety. METHODS: points, three times daily. The treatment was delivered consecutively for 2 weeks in the two groups. The scores of visual analogue scale (VAS) and the short-form McGill pain questionnaire (SF-MPQ) were recorded before treatment, after 1 and 2 weeks of treatment, and after 4 weeks of treatment completion (follow-up visit) in the two groups separately. The difference value between VAS score after 2 weeks of treatment and that before treatment was taken as the primary outcome. The SF-36 score was observed before treatment, after 2 weeks of treatment and during the follow-up visit, and the safety was evaluated in the two groups. RESULTS: <0.05). No adverse event happened in the two groups. CONCLUSION: moxa stick effectively reduces pain severity and improves the quality of life in the patients with back myofascitis. This therapy presents the superior and persistent effect compared with topical application of diclofenac sodium gel.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.012
GPT teacher head0.268
Teacher spread0.256 · 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.

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

Citations1
Published2024
Admission routes1
Has abstractyes

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