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Record W2357524658

[Clinical study on combination of acupuncture, cupping and medicine for treatment of fibromyalgia syndrome].

2006· article· en· W2357524658 on OpenAlexaboutno aff
Chang-du Li, Xiaoying Fu, Zhen-ya Jiang, Siqin Huang, Qiong-fen Wang, Jia Liu, Yu-An Chen

Bibliographic record

VenuePubMed · 2006
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAcupunctureFibromyalgiaAmitriptylineTherapeutic effectCupping therapyHamdDepression (economics)Physical therapyFibromyalgia syndromeMcGill Pain QuestionnaireAcupuncture therapySignificant differenceVisual analogue scaleAnesthesiaAlternative medicineSurgeryInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To observe the therapeutic effect of acupuncture at five mental points and moving cupping on the Hechelu of the back on fibromyalgia syndrome (FS). METHODS: Sixty-six cases who conformed to the criteria were randomly divided into the treatment group treated with acupuncture at five mental points, moving cupping on the Hechelu of the back and amitriptyline, and the control group treated with amitriptyline. Clinical therapeutic effects were assessed with McGill Pain Questionnaire (MPQ) and HAMD depression scale. RESULTS: The therapeutic effect of the treatment group was better than that of the control group with a significant difference between the two groups (P < 0.01). CONCLUSION: Combination of acupuncture with cupping therapy is an effective therapy for fibromyalgia syndrome.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.082
GPT teacher head0.378
Teacher spread0.296 · 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 designObservational
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

Citations14
Published2006
Admission routes1
Has abstractyes

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