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Record W3186166137

Clinical effect of warm needle penetration in treating knee osteoarthritis.

2021· article· en· W3186166137 on OpenAlexaboutno aff
Xiaoqi Hou, Yan Yan, Lei Peng, Deng Niu, Jing Wei, Jianbo Wang

Bibliographic record

VenuePubMed · 2021
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoarthritisMedicineVisual analogue scaleKnee JointClinical efficacyPhysical therapyRange of motionPenetration (warfare)Patient satisfactionKnee painSurgeryAlternative medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: Our aim was to explore the clinical effect of warm needle penetration in treating knee osteoarthritis. METHODS: We randomly divided 118 patients with knee osteoarthritis into the observation group (n=59) and the control group (n=59). The observation group was treated with warm needle penetration combined with western medicine therapy, and the control group was only given western medicine therapy. The clinical effective rate, Visual analogue scale pain score, knee joint score, Western Ontario and McMaster Universities osteoarthritis index and subjective satisfaction were observed and compared between the two groups. RESULTS: The clinical effective rate, knee joint score and subjective satisfaction rate were higher (all P<0.05), while the Visual analogue scale pain score and Western Ontario and McMaster Universities osteoarthritis indices score were lower in the observation group than in the control group (both P<0.05). CONCLUSION: Warm needle penetration can ameliorate the efficiency of treatment, reduce pain, and improve the range of knee joint motion and subjective satisfaction of patients with knee osteoarthritis.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.438
Threshold uncertainty score0.308

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.030
GPT teacher head0.335
Teacher spread0.305 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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