Anakinra in a Cohort of Children with Chronic Nonbacterial Osteomyelitis
Bibliographic record
Abstract
OBJECTIVE: To report efficacy and safety in patients with chronic nonbacterial osteomyelitis (CNO) unresponsive to nonsteroidal antiinflammatory drugs (NSAID) and bisphosphonates and/or glucocorticoids treated with anakinra. METHODS: Nine patients (6 females) with refractory CNO were treated with anakinra for at least 6 months. We recorded, at baseline and after 6 months of treatment, clinical and laboratory features, and number and distribution of bone lesions detected by 99mTc-MDP bone scintigraphy. Disease activity was evaluated using a physician's global assessment (PGA). RESULTS: At baseline, 9/9 patients had mild to severe PGA. After 6 months of treatment, in 5 patients the PGA score was graded from none to minimal. At baseline, erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) were elevated in 8 out of 9 patients. After 6 months, 5/9 patients had normalized CRP and ESR and in all except 1, CRP and ESR decreased. Before starting anakinra, a total of 77 bone lesions were detected by bone scintigraphy. After 6 months of treatment of the 77 lesions, 42 had resolved and 35 were stable. In 7/9 patients, 20 new lesions appeared during treatment; 2 of these 7 patients were symptomatic. At the last followup visit (median 1.7 yrs, range 0.8-2.8), 6/9 patients maintained a PGA graded as none to minimal. CONCLUSION: Anakinra is a possible therapeutic alternative in patients with refractory CNO. The practical significance of clinically silent bone lesions detected by bone scintigraphy remains to be established.
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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 | 0.001 |
| 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) | 0.001 | 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".