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[Effect of fire needling on mild to moderate knee osteoarthritis and related serum inflammatory cytokines].

2021· article· en· W3163503026 on OpenAlexaboutno aff

Bibliographic record

VenuePubMed · 2021
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDry needlingOsteoarthritisMedicineProinflammatory cytokineInternal medicineInflammationAcupuncturePathologyAlternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To compare the clinical effect of fire needling and filiform needling for mild to moderate knee osteoarthritis (KOA) and observe the influence on related serum inflammatory sytokines. METHODS: point. The observation group was treated with fire needling, while the control group was treated with filiform needling. Both groups were treated once every other day, 3 times a week for 2 weeks. The Western Ontario and McMaster University osteoarthritis index (WOAMC) scores of the two groups were compared before treatment, in 1, 2 weeks of treatment and 2, 6 weeks of follow-up. ELISA method was used to detect the levels of serum interleukin 1α (IL-1α), tumor necrosis factor α (TNF-α) and matrix metalloproteinase 3 (MMP-3) before treatment and in 2 weeks of treatment. The clinical effect of the two groups was evaluated in 1, 2 weeks of treatment and 2, 6 weeks of follow-up. RESULTS: <0.05). CONCLUSION: Fire needling can improve the pain, stiffness and joint dysfunction of patients with mild to moderate KOA, and increase serum MMP-3 and IL-1α levels. Its short and long term clinical effects are better than filiform needling.

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)0.001
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 score0.888
Threshold uncertainty score0.570

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.012
GPT teacher head0.252
Teacher spread0.239 · 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

Citations7
Published2021
Admission routes1
Has abstractyes

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