Effects of celecoxib combined with duloxetine on chronic pain, depression, and anxiety in patients with knee osteoarthritis
Bibliographic record
Abstract
BACKGROUND: Knee osteoarthritis (KOA), a common disabling pathology characterized by knee joint pain, swelling, and functional impairment, primarily affects middle-aged and older adults. In addition to physical limitations, chronic pain often leads to psychological problems, including anxiety and depression, which further impact patients' quality of life. AIM: To examine the efficacy and safety of celecoxib plus duloxetine in managing chronic pain, anxiety, and depression in patients with KOA. METHODS: A retrospective analysis was conducted on 123 patients with KOA treated at our center between February 2020 and February 2023. Of these, 66 received celecoxib plus duloxetine, and 57 received celecoxib alone. Outcomes were assessed using the Visual Analog Scale (VAS), the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and the Self-Rating Anxiety Scales (SAS)/Self-Rating Depression Scales (SDS). Safety was evaluated by monitoring changes in liver function enzymes (alanine aminotransferase, aspartate aminotransferase), creatinine, and blood urea nitrogen. RESULTS: Patients receiving celecoxib plus duloxetine showed significantly greater reductions in VAS and WOMAC and greater improvements in SAS and SDS scores compared with those receiving celecoxib alone. Hepatorenal function did not differ significantly between the treatment groups. Logistic regression analysis identified patient age, educational background, and treatment regimen as independent predictors of inadequate improvement in negative emotional symptoms. CONCLUSION: In patients with KOA, celecoxib plus duloxetine effectively mitigates chronic pain and improves anxiety and depressive symptoms without increasing adverse hepatic or renal effects. These findings support its use as a safe and effective treatment option.
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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 | 0.000 | 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".