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 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 | 0.019 | 0.014 |
| 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 | 0.001 |
| 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".