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Record W2917337307 · doi:10.13045/jar.2019.00010

Thread-Embedding Therapy for Knee Osteoarthritis

2019· article· en· W2917337307 on OpenAlexaboutno aff
Jeong Du Roh

Bibliographic record

VenueJournal of Acupuncture Research · 2019
Typearticle
Languageen
FieldMedicine
TopicHealthcare and Venom Research
Canadian institutionsnot available
FundersSemyung University
KeywordsWOMACOsteoarthritisMedicinePhysical therapyAlternative medicinePathology

Abstract

fetched live from OpenAlex

The aim of this study was to investigate the efficacy of thread-embedding therapy for the treatment of knee osteoarthritis. There were 20 patients treated with thread-embedding therapy at various acupoints on the muscles around the knee. Gender, age, location, morbidity period, numeric rating scale (NRS), Western Ontario and McMaster Universities (WOMAC) index, improvement result, side effects, and patient’s satisfaction were investigated. After the treatment, the NRS score (z = -4.07, <i>p</i> < 0.001) and WOMAC (<i>p</i> < 0.001) indices decreased in most patients. The NRS score decreased by more than 2 points in 95% of the patients. The WOMAC index decreased by 6-12 points. There were no serious side effects, although bruising, pain, and edema were observed. Overall, 85% of the patients felt satisfied with the thread-embedding therapy. These findings suggested that threadembedding therapy was effective and may be used widely for 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)0.005
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.863
Threshold uncertainty score0.692

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.135
GPT teacher head0.505
Teacher spread0.370 · 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 designNot applicable
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

Citations2
Published2019
Admission routes1
Has abstractyes

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