The effect of physical therapy and exercise on pain and functional capacity according to the radiological grade of knee osteoarthritis
Bibliographic record
Abstract
BACKGROUND: Physical therapy and exercise programs are frequently used in the treatment of knee osteoarthritis (OA). However, it is not known at what stage of knee OA it is more effective. OBJECTIVE: The purpose of this work was to determine the relationship between the effectiveness of the physical therapy and exercise programs and the radiological findings presence/grade of knee OA. MATERIAL AND METHODS: Overall, 92 patients (65F, 27M) with knee OA were enrolled in the retrospective study. Standard knee radiographs were graded according to Kellgren-Lawrence. Pain and functional status were evaluated using a visual analog scale (VAS) and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) at baseline, at the end of the physical therapy program (first month), and at third-month control visits. The demographic characteristics and VAS/WOMAC scores of the subjects were obtained from patient files. RESULTS: We analyzed 131 knees of 92 patients with knee OA (65F, 27M, mean age 53.02 ± 11.13 years). The mean total VAS and WOMAC scores on the first and third months were significantly lower than the initial values (all p< 0.001). The mean VAS scores on the first and third months were significantly lower than the initial values in the group without radiological damage, but WOMAC scores were similar between the evaluations (p= 0.009, p 50 = 0.003, respectively). The mean VAS and WOMAC scores on the first and third months were significantly lower than the initial values in the grade 1 according to the Kellgren-Lawrence radiological grades (all p< 0.001). CONCLUSIONS: According to the results of our study, physical therapy and exercise was effective on pain in all patients with knee OA, but only effective on knee functional capacity in the group with radiological findings, and especially more effective in patients with Kellgren-Lawrence grade 1.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".