Physical Medicine and Rehabilitation of Knee Osteoarthritis Grade 3-4 with Valgus Deformity
Bibliographic record
Abstract
Introduction: Osteoarthritis is an arthritic disease caused by joint cartilage damage that affects an estimated 302 million people worldwide. Factors that increase the risk of OA include being a woman, aged over 45, obesity, bone deformities, joint injuries, and repetitive strain on specific joints. Osteoarthritis is the leading cause of disability among older adults and needs a high health care and rehabilitation cost. The primary focus of treatment is symptom management and maintenance or restoration of functional capacity. The PMR programs include therapeutic exercises, modality uses, education and lifestyle modification (knee joint conservation). We aimed to determine the impact of PMR program combined with pharmacological therapy on 3rd-4th grade OA patients. Methods: Case report of a woman, aged 62 years, diagnosed with right knee OA grade 3-4 with valgus deformity. Subject has chronic and progressive knee pain by visual analog scale (VAS) was 4-5, limited range of movement (ROM) in the right knee, and low back pain. The patient performed medical rehabilitation program combined with pharmacological therapy at Mitra Husada Pringsewu Hospital for 6 weeks and it was evaluated. Results: Patient in comparison before and after treatment, pain was reduced from VAS score 4-5 to 3-4, ROM from extentiont-flexion angle 15-90o to 5-110o, Q angle remained the same, and The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score was decreased from 11-5-34 to 9-3-30. Conclusion: A nonpharmacological and pharmacological therapy combination in medical rehabilitation programs is needed to reduce pain, improve ROM, and improve the patient's quaity of life.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".