Identifying clinically relevant subgroups of patients with knee pain flare-ups for ibuprofen treatment
Bibliographic record
Abstract
Context Symptom flare-ups in knee osteoarthritis (OA) are associated with progression of OA, through worsening of synovitis. The randomised controlled trial (RCT) ‘Flaring Arthralgia Relief Evaluation in episodic flaring knee pain’ (FLARE) has shown no clinical benefit of a higher dose non-steroidal anti-inflammatory drugs (NSAIDs) over a lower dose, among individuals with a flare-up of knee pain. Objective To identify potential subgroups of patients with a knee pain flare-up who benefit from a high dose NSAIDs treatment. Study Design and Analysis This is a secondary explorative data analysis of a previous performed RCT (FLARE). A multilevel regression analysis was performed to estimate the magnitude of the effect of ibuprofen treatment in the different subgroups and to assess interaction effects. Setting/Dataset The FLARE study was conducted at 27 primary care centers, located in the United Kingdom and the Netherlands. From this dataset we selected patients treated with a total daily dose of 1200mg or 2400mg for 5 days, with a value of pain severity on the numerical rating scale (NRS) and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain score at least at baseline and end of treatment. Population Studied Adults with a history of ≥1 knee pain flare episodes in the previous year (with or without treatment) and attending a baseline evaluation within 24 hours after experiencing a new episode (defined as pain severity ≥5 on a 0–10 NRS). Intervention Subgroups (severity of morning stiffness, swelling, and pain) have been defined based on literature and clinical expertise. Outcome Measures The primary outcome was the difference in pain severity after full treatment. Difference in WOMAC pain subscale after 5 days and in pain severity after 3 days were secondary outcomes. Results The cohort (n=308) existed of a population with a mean age of 52.4±12.9 (SD) years and 41% females. No significant interaction was found between the predefined subgroups and the treatment effect on pain severity after day 5 (p-values ≥0.28) or on the secondary outcomes (all p-values ≥0.17). Given the potential lack of power, the absolute and adjusted mean differences between treatment arms were compared for each subgroup; none of the differences reached clinical significance. Conclusion Ibuprofen 2400mg had no significant or clinical beneficial effect compared to 1200mg among the predefined subgroups of patients with indications for knee joint inflammation.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".