The Clinico-Radiological Effect of Vitamin D in Treatment of Osteoarthritis of the Knee: A Randomized Control Trial
Bibliographic record
Abstract
Introduction: Vitamin D treatment reduces osteoarthritis (OA) pain, inflammation, and cartilage degradation, indicating that it may have therapeutic advantages in the management of OA symptoms. Thus, the present study was conducted to assess the effect of Vitamin D in treatment of Knee OA. Materials and Methods: A randomized control study was done on 78 cases, fulfilling American College of Rheumatology criteria for diagnosis of OA knee. Patients were randomized into an experimental (vitamin D supplement along with standard treatment for Knee OA [KOA]) and placebo group (standard treatment for KOA). All patients were followed up from baseline till 12 months. Pain was assessed using Visual Analog Scale (VAS) and functional outcome by Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score. Cartilage thickness of medial, sulcus, and lateral femoral condyle was evaluated at baseline and after a year using ultrasound imaging. Data collected and recorded on MS Excel. Data were analyzed using the Statistical Package for the Social Sciences version 20.0 software. Results: Mean VAS and WOMAC score were comparable (P > 0.05), but less in experimental than placebo group at all-time intervals. Average cartilage thickness of medial and lateral femoral condyle was comparable (P > 0.05), but more in experimental than placebo group. Average cartilage thickness of sulcus femoral condyle was considerable (P < 0.05) and more in experimental than placebo group at 12 months. Thickness of cartilage decreased in both groups from baseline to 12 months; but not considerably (P > 0.05) in experimental group. Conclusion: Patients with OA discomfort in their knees were benefited in terms of pain and functionality, after taking Vitamin D supplements. There is a necessity of standardized, carefully planned studies to gain a deeper understanding of vitamin D's function in KOA treatment.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".