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[Clinical observation of fast acupuncture for cervical type of cervical spondylosis].

2017· article· en· W2885283235 on OpenAlexaboutno aff
Wenyuan Li, Weihong Cong, Chuanzhu Yan, Runrun Zhang, Yue Gao, Yuxia Ma

Bibliographic record

VenuePubMed · 2017
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCervical spondylosisAcupunctureVisual analogue scaleMcGill Pain QuestionnaireNeck painPain scorePhysical therapyAnesthesiaRandomized controlled trialSurgery

Abstract

fetched live from OpenAlex

OBJECTIVE: To compare the effects between fast acupuncture and retaining acupuncture for the cervical type of cervical spondylosis. METHODS: arrival, while those in the retaining needle group were retained for 30 min, three times a week, once the other day. One week was seen as a course and the treatment was given for 2 courses. The indices were observed before and after treatment, including Northwick Park neck pain questionnaire (NPQ), short-form McGill pain questionnaire (SF-MPQ) [pain rating index (PRI), visual analogue scale (VAS) and present pain intensity (PPI)]. The effects were compared in the two groups. RESULTS: >0.05). CONCLUSION: Fast acupuncture and retaining needle are both effective for the cervical type of cervical spondylosis, which can apparently improve the clinical symptoms. Fast acupuncture is superior to retaining acupuncture.

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)0.000
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0040.000

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 head0.180
GPT teacher head0.408
Teacher spread0.228 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

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