Level of Inflammation and its Association with Pain, Physical Functioning and KL-Grade in Patients With Knee Osteoarthritis
Bibliographic record
Abstract
Background: Knee osteoarthritis (OA), also known as degenerative arthritis, causes a progressive loss of articular cartilage. In recent years, there has been a shift in the understanding of OA from a “wear and tear” disease to an “inflammatory” condition. Aims and Objectives: The objective of this study was to assess the level of inflammation and to evaluate the relationship between inflammation, pain, physical functioning, and Kellgren Lawrence (KL)-grade in patients with knee OA. Materials and Methods: Sixty patients with radiographic evidence of knee OA (KL Grade I/II/III) were cross-sectionally analyzed. Data about their anthropometry, inflammatory markers high-sensitivity C-reactive protein (hsCRP), erythrocyte sedimentation rate-(ESR), pain, and physical functioning were collected. Results: The mean hsCRP among the patient population was 4.6 ± 4.0 mg/L and the mean ESR was 40.4 ± 21.8 mm/h. There was a strong significant association of visual analog scale (VAS) pain score with hsCRP (r = 0.353; P = 0.005) and ESR (r = 0.269; P = 0.036). There was a strong significant association of Western Ontario and McMaster Universities OA Index score with hsCRP (r = 0.415; P = 0.001) and ESR (r = 0.413, P = 0.001). However, there was no significant difference in hsCRP or ESR when classified according to KL-grade (P > 0.05). Conclusion: The level of inflammation is high in knee OA patients. Inflammation is significantly associated with pain intensity and physical functioning in knee OA patients. However, there is no significant difference in hsCRP, ESR, and VAS when classified according to KL-grade. This emphasizes the need to study inflammatory markers in addition to radiographic evidence for informed clinical decision-making.
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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 | 0.000 |
| 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) | 0.000 | 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".