Open-label Use of Anakinra (Kineret) in the Treatment of Patients with Osteoarthritis
Bibliographic record
Abstract
Background: Novel treatments for osteoarthritis (OA) are needed for patients not responding to and/or not tolerating conventional treatments.In this prospective study the usefulness of Anakinra (Kineret) in the treatment of OA was evaluated.Methods: Eleven patients with symptomatic OA were treated with Anakinra (Kineret) over a 2-3 month period.Efficacy of response was determined if patients showed >30% improvement in the Western Ontario and McMaster Universities Osteoarthritis Index and/or Australian/ Canadian Osteoarthritis Hand Index scoring with treatment.Nine of the 11 patients received Kineret intra-articular (IA) injections and 2/11 patients with erosive polyosteoarthritis received Kineret 100 mg subcutaneous injections daily for 30 days.Results: One of the two patients receiving systemic administration of Kineret showed mild efficacy.A total of 21 IA Kineret injections were performed on nine patients.Only 2/5 patients receiving IA Kineret injections into small/medium-sized joints showed efficacy and only 2/5 patients receiving IA Kineret injections into large joints (knees, shoulders) showed efficacybut those patients showing efficacy with large joints injections had >50% improvement. Conclusion:In this study it was found that patients receiving large joint injections were more likely to show greater efficacy than those receiving small joint injections.Therefore, there seems to be a possible benefit of using Kineret (150-200 mg) in the treatment of OA in large joints and may represent an alternative to IA steroid in those patients in whom steroids may be contraindicated.
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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) | 0.001 | 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 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".