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Record W2351600233

[Observation on therapeutic effect of fire-needle therapy on lumbar intervertebral disc herniation].

2009· article· en· W2351600233 on OpenAlexaboutno aff
Liyan Yang, Dejian Lu, Yanhui Li

Bibliographic record

VenuePubMed · 2009
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineElectroacupunctureAcupunctureMcGill Pain QuestionnaireVisual analogue scaleTherapeutic effectAnesthesiaLumbarLow back painSurgeryPhysical therapyPathology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To observe the therapeutic effect of fire-needle therapy on lumbar intervertebral disc herniation. METHODS: Sixty cases were randomly divided into a fire-needle group and an electroacupuncture group, 30 cases in each group. The fire-needle group was treated with fire-needle therapy and routine acupuncture, i.e., the fire-needle was given to the points on the lesion segments, and Jiaji (EX-B 2) and Ashi points above and bellow the segments, and routine acupuncture was given at Shenshu (BL 23), Zhibian (BL 54), Huantiao (GB 30), etc.; the electroacupuncture group was treated with electroacupuncture at the points as those in the fire-needle group. The scores of McGill Pain Rating Scale, Visual Analogous Scale (VAS) and present pain intensity (PPI) were compared before and after treatment for 2 weeks in the two groups. RESULTS: After treatment, all of the scores of McGill Pain Rating Scale, VAS and PPI were significantly decreased (all P < 0.01); the scores of emotion in the McGill Pain Rating Scale, VAS and PPI in the fire-needle group were significantly decreased as compared with those of the electroacupuncture group (P < 0.05, P < 0.01). CONCLUSION: Both fire-needle therapy and electroacupuncture can effectively relieve pain in the patients with lumbar intervertebral disc herniation, but the former is better than the latter.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.935
Threshold uncertainty score0.437

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.040
GPT teacher head0.302
Teacher spread0.262 · 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 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

Citations10
Published2009
Admission routes1
Has abstractyes

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