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[<i>Tiaohe Yinyang</i> acupotomy for knee osteoarthritis: a randomized controlled trial].

2022· article· en· W4312115141 on OpenAlexaboutno aff
Danghan Xu, Yuxiang Lin, Wei Jia, Ci-Hui Huang, Minghui Li, Taotao Yao, Xu-Bo Hong, Zesheng Zhang, Liang Zheng

Bibliographic record

VenuePubMed · 2022
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineWOMACOsteoarthritisVisual analogue scaleKnee JointPain scoreRange of motionRandomized controlled trialSurgery

Abstract

fetched live from OpenAlex

OBJECTIVE: ) for knee osteoarthritis (KOA). METHODS: side (1-2 high stress points i.e. stimulation point of infrapatellar ligament and suprapatellar bursa) of knee joint. In the sham-acupotomy group, sham-acupotomy was applied at the same points as the acupotomy group. The treatment was given once a week for 2 weeks in the two groups. Before and after treatment, the Western Ontario and McMaster Universities arthritis index (WOMAC) score, visual analogue scale (VAS) score, thickness of medial and lateral collateral ligaments of knee joint, motion range of knee joint and plantar pressure distribution were observed in the two groups. In the follow-up of 3 months after treatment, the WOMAC and VAS scores were recorded in the acupotomy group. RESULTS: <0.05). CONCLUSION: acupotomy can improve the clinical symptoms of knee joint in patients with KOA by changing the local biological stress.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation 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: Protocol · Consensus signal: none
Teacher disagreement score0.211
Threshold uncertainty score0.789

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
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 head0.021
GPT teacher head0.274
Teacher spread0.253 · 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 designRandomized trial
Domainnot available
GenreProtocol

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

Citations5
Published2022
Admission routes1
Has abstractyes

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