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Record W2374089896

[Randomized controlled study on picking therapy for treatment of cervical spondylosis].

2005· article· en· W2374089896 on OpenAlexaboutno aff
Wenbin Fu, Hong-lai Zhang, Xiaoping Zhu, Ziping Li, Li Fan, Mi Jian-ping, Weixiong Li, Yuanqi Guo, Changrong Meng

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldMedicine
TopicMedical Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCervical spondylosisAcupunctureRandomized controlled trialAnesthesiaAdverse effectTherapeutic effectAcupuncture therapyCupping therapyManual therapySurgeryPhysical therapyInternal medicineAlternative medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To use randomized controlled clinical research method to assess therapeutic effect of picking therapy on cervical spondylosis. METHODS: One hundred and fifty-eight cases were randomly divided into a picking therapy group (n=56), a routine acupuncture group (n=55) and a local anesthesia group (n=47). They were treated respectively with picking therapy, routine acupuncture and local anesthesia at Jing bailao (EX HN 15), Dazhui (GV 14), Jianjing (GB 21), etc. Brief McGill Pain Questionaire was used for score, which was combined with clinical symptoms and signs to analyze the therapeutic effect. RESULTS: The cured rate was 57.1% in the picking therapy group, better than 23.6% in the acupuncture group and 14.9% in the local anesthesia group (P < 0.01), and adverse reaction was basically not found in the picking therapy group. CONCLUSION: Picking therapy is a highly effective and safe therapy for cervical spondylosis.

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)0.010
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 score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.010
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.365
Teacher spread0.283 · 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

Citations3
Published2005
Admission routes1
Has abstractyes

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