Integrative Korean medicine treatment for inpatients with osteoarthritis of the knee: An observational study
Bibliographic record
Abstract
The use of integrative Korean medicine treatment (IKMT) for patients with knee osteoarthritis (OA) has been reported previously; however, to date, no studies have investigated the long-term prognosis of these patients following IKMT for primary knee OA. We aimed to examine the long-term effects of IKMT in patients diagnosed with primary knee OA and receiving IKMT during hospitalization. This retrospective observational study, complemented by a follow-up survey, included patients with primary knee OA who received IKMT during hospitalization across 7 Korean medicine hospitals. The primary outcome was the Numerical Rating Scale knee-pain score, whereas the secondary outcomes were the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), EuroQol-5 dimension-5 level questionnaire (EQ-5D-5L), and Patient Global Impression of Change scores. Patients were evaluated at admission, discharge, and during follow-up. Of the 180 included patients, 81 responded to the survey. Compared with the corresponding values at admission, the Numerical Rating Scale score decreased by 2.44 (2.08-2.81) points at discharge and 1.89 (1.5-2.26) points at follow-up. Additionally, compared with their scores at admission, the WOMAC score decreased by 17.20 (13.68-20.71) points at discharge and 25.74 (22.22-29.26) points at follow-up, whereas the EuroQol-5 dimension-5 level questionnaire score improved by -0.15 (-0.18 to -0.12) points at discharge and -0.12 (-0.15 to -0.09) points at follow-up. The patients expressed high satisfaction with pharmacopuncture (65.4%), acupuncture (54.03%), physical therapy (35.8%), and herbal medicine (34.6%). Regarding Patient Global Impression of Change, 96.30% of the patients reported improvement. IKMT was effective in improving pain, functional disability, and quality of life in patients with primary knee OA. Its effects were maintained throughout the long-term follow-up period, and physical functions continuously improved.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".