Pengaruh Backward Walking Exercise Terhadap Nyeri Dan Kemampuan Fungsional Pasien Osteoarhtritis Genu
Bibliographic record
Abstract
Osteoarthritis (OA) is a degenerative disease that mainly attacks the joints and surrounding tissues, causing progressive damage to cartilage, subchondral bone and synovial structures. Genu OA is the most common OA and can cause disabilities that interfere with daily activities, reduce quality of life and increase the risk of falls. Physiotherapy intervention for genu OA can be conducted using various methods, one of them is backward walking exercise. The study is a quasi experimental research using two group pre and post-test control group design. The aim of the research is to determine the effect of backward walking exercise on pain and functional ability in patients with genu OA. The pain scale was measured using the Visual Analog Scale (VAS) and the patient's functional ability was measured using the Physical Function using Western Ontario and McMaster Universities Arthritis Index (WOMAC). The samples were all patients who had been diagnosed with Genu OA and met the predetermined inclusion and exclusion criteria. The samples were divided into 2 groups, the intervention group and the control group. Each group will receive the same physiotherapy intervention, but the intervention group was given additional intervention in the form of backward walking exercises. Backward walking exercise was conducted 2 times a week for 4 weeks. Before administering the exercise, each patient measured their pain scale and functional capacity. The measurement was done again after 8 interventions. The results showed that patients in the intervention group experienced a significant increase in functional ability (p=0.003) and a significant reduction in pain (p=0.000). In the control group there was also a significant increase in functional ability (p=0.000) and pain reduction (p=0.000). However, there was no significant difference in results between the control group and the intervention group in terms of functional ability (p=0.135) and pain level (p=0.490)
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".