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Record W2937158560

퇴행성 반월상 연골판 파열 환자의 한의학적 치료 효과와 Kellgren-Lawrence-grade, Body Mass Index의 상관성

2018· article· ko· W2937158560 on OpenAlexaboutno aff
이기언, 이건영, 한시훈, 김국범, 김효준, 장재원, 장영우, 조재흥

Bibliographic record

Venue한방재활의학과학회지 · 2018
Typearticle
Languageko
FieldMedicine
TopicHealthcare and Venom Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineWOMACBody mass indexPhysical therapyQuality of life (healthcare)OsteoarthritisAcupunctureElectroacupunctureInternal medicineAlternative medicinePathology
DOInot available

Abstract

fetched live from OpenAlex

Objectives The aim of this study is to observe the effectiveness of complex Korean medicine treatment applied to the patients with degenerative meniscal tear and the correlation among clinical effectiveness, body mass index (BMI) and Kellgren-Lawrence grade (KL-grade). Methods The study participants were 38 patients who had been diagnosed with degenerative meniscal tear. Participants were classified by BMI, KL-grade and treated with acupuncture, electroacupuncture and pharmacopuncture. Clinical outcomes were assessed using Numeric Rating Scale (NRS), Western Ontario and McMaster Universities Arthritis Index (WOMAC Index) and EuroQol-5 Dimension Index (EQ-5D Index). Results Both NRS and WOMAC scores were significantly reduced after treatment (p <0.001). The EQ-5D for assessing quality of life showed further improvement (p<0.05). A statistically significant correlation was observed between the BMI and NRS, EQ-5D. KL-grade was correlated with WOMAC. Conclusions These results show that complex Korean medicine treatment to the patient with degenerative meniscal tear may be effective as a conservative therapy. Further research is required to confirm the effectiveness of Korean medicine treatment. (J Korean Med Rehabil 2018;28(4):71-79)

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.560
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0110.018

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 head0.095
GPT teacher head0.422
Teacher spread0.328 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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