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Record W7162910306

Clinical Randomized Controlled Trials of Treatment of Neck-back Myofascial Pain Syndrome by Acupuncture of Ashi-points Combined with Moxibustion of Heat-sensitive Points

2011· article· zh· W7162910306 on OpenAlexaboutno aff
WU Feng, KANG Ming-fei1, Peng Xiong, Xiong Jun

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2011
Typearticle
Languagezh
FieldBiochemistry, Genetics and Molecular Biology
TopicMyofascial pain diagnosis and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMoxibustionAcupunctureMyofascial painMyofascial pain syndromeRandomized controlled trialTherapeutic effectClinical trialAcupuncture needle
DOInot available

Abstract

fetched live from OpenAlex

Objective To observe the therapeutic effect of acupuncture of Ashi points in combination with moxibustion of heat-sensitive points for neck-back myofascial pain syndrome,so as to find a better combined therapy.Methods A total of 62 eligible patients were randomly divided into treatment group(acupuncture of Ashi-points plus moxibustion of heat-sensitive points,n=32) and control group(acupuncture of Ashi-points plus TDP irradiation,n=30) by using single-blind method.Ashi-points were the tenderpoints or subcutaneous induration spots determined by digital pressure in the focus region,and the heat-sensitive points were the acupoints around the subcutaneous induration spots in the neck-back regions determined by patients' feeling(heat from the ignited moxa transmitting toward the deep muscle layer,extending toward the surrounding region of the Ashi-points,etc.and the distal part of the body) during moxibustion.Ashi-points were punctured with filiform needles and stimulated with reducing method by lifting,thrusting and twirling the acupuncture needle repeatedly till "Deqi",followed by retaining the needle for 30 min.Moxibustion was given to the patients for 10-90 min(when the patient began to feel heat penetrating into the deeper muscle layer to the termination of the heat transmission).TDP irradiation was given to the Ashi-points for 30 min in every session of treatment.The treatment was conducted once daily,5 times a week,two weeks altogether.McGill pain questionnaire containing pain rating index(PRI),visual analogue scale(VAS) and present pain intensity(PPI) and "the criteria for assessing the therapeutic effect of back-myofascitis" recorded in "Standards for Diagnosis and Efficacy Evaluation of Clinical Conditions in Chinese Medicine"(published in 1994 in China) were used to evaluate the analgesic effect.Results Before the treatment,no significant differences were found between the treatment and control groups in PRI,VAS and PPI.After the treatment,PRI,VAS and PPI were all signi-ficantly lower in the treatment group than in the control group(P<0.01).Of the 32 and 30 myofascitis patients in the treatment and control groups,11(34.4%) and 3(10.0%) were cured,20(62.5%) and 25(83.3%) experienced improvement in their symptoms,1(3.1%) and 2(6.7%) had no apparent changes.The cure rate of the treatment group was significant bigger than that of the control group(P<0.05).Conclusion Acupuncture combined with moxibustion of Ashi-points can effectively relieve pain reaction in neck-back myofascial pain syndrome patients,which is significantly superior to that of acupuncture plus TDP irradiation therapy.

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)0.008
metaresearch head score (Gemma)0.009
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 score0.012
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.009
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0090.003
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.157
GPT teacher head0.484
Teacher spread0.327 · 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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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