Etoricoxib improves osteoarthritis pain relief, joint function, and quality of life in the extreme elderly
Bibliographic record
Abstract
Etoricoxib is a selective cyclooxygenase-2 inhibitor, with a lower risk of gastrointestinal toxicity compared to traditional nonsteroidal anti-inflammatory drugs (NSAIDs). We evaluated the effectiveness and tolerability of etoricoxib in extremely elderly patients with chronic pain due to osteoarthritis (OA). A prospective, single-center, single-arm study was conducted, enrolling 19 extremely elderly men with OA (mean age 85.9, range 79-96 years), who responded inadequately to NSAIDs or other analgesics. Patients were switched to etoricoxib, 60 mg once daily for 4 weeks, without prior medication washout. Data were recorded before and after etoricoxib treatment. The primary endpoint was improvement in pain, assessed using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) after the 4-week treatment. Other endpoints included the Brief Pain Inventory Short Form (BPI-SF), Treatment Satisfaction Questionnaire for Medication (TSQM), Short Form 36 (SF36), and European Quality of Life-5 Dimensions (EQ-5D). Safety and tolerability were assessed by collecting adverse events data. Pain and disability scores measured by WOMAC index were lower after treatment (pain, p ≤ 0.001; disability, p = 0.020). BPI-SF showed a significant improvement in joint function when walking and performing normal work (walking, p = 0.021; normal work, p = 0.030). SF36 scores improved for 7 out of 11 items after etoricoxib treatment (#1, p = 0.032; #4, p = 0.026; #5, p = 0.017; #6, p = 0.008; #7, p = 0.009; #8, p = 0.013; and #10, p = 0.038). EQ-5D showed a significant improvement in visual analogue scale scores (p = 0.036). TSQM results demonstrated a higher patient perception of overall satisfaction. No adverse events were reported. Pain relief, joint function, quality of life, and treatment satisfaction improved significantly in elderly patients with OA after etoricoxib administration.
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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 | 0.000 | 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 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".