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Record W9134248

[Comparative study on effect of acupuncture and lidocaine block for lumbar myofascial pain syndrome].

2013· article· en· W9134248 on OpenAlexaboutno aff
Gui-Mei Jiang, Mou-De Lin, Luying Wang

Bibliographic record

VenuePubMed · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMyofascial pain diagnosis and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDry needlingAcupunctureLidocaineLumbarMyofascial pain syndromeAnesthesiaOswestry Disability IndexTherapeutic effectRandomized controlled trialMyofascial painPhysical therapySurgeryLow back pain
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To observe the clinical efficacy of acupuncture at Jiaji (EX-B 2) points mainly for lumbar myofascial pain syndrome (MPS). METHODS: Sixty-six cases of MPS were randomized into an acupuncture group and a lidocaine group, 33 cases in each group. The acupuncture group was treated with acupuncture at Jiaji (EX-B 2) points combined with needling local myofascial trigger points (MTrP), and the lidocaine group was treated with local block at trigger points with lidocaine injection. The treatment was given once every 2 days. After three and five times of the treatment, the simplified McGill scale, Oswestry disability index (ODI) and pressure-pain threshold were assessed to compare the therapeutic effects between the two groups. RESULTS: After treatment, the scores of simplified McGill and ODI of two groups were obviously reduced while the score of pressure-pain threshold was obviously increased (all P < 0.01). After three and five times of the treatment, there were no significant differences in above scores between the two groups (all P > 0.05). CONCLUSION: Acupuncture at Jiaji (EX-B 2) points combined with needling MTrP is an effective and safe therapy for lumbar MPS, the therapeutic effect is equal to lidocaine block.

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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.011
GPT teacher head0.243
Teacher spread0.232 · 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 designNon-randomized 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

Citations6
Published2013
Admission routes1
Has abstractyes

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