Improvement of generalized granuloma annulare with adalimumab: A case report
Bibliographic record
Abstract
Granuloma annulare is a benign, inflammatory condition of unknown etiology, characterized by erythematous annular plaques, frequently on distal extremities. Generalized granuloma annulare can be difficult to treat, with varying success in therapeutic approaches. We present the case of a 59-year-old female with refractory generalized granuloma annulare successfully managed with adalimumab, requiring ongoing 40 mg q2weekly treatment for 2 years. While there are a handful of published case reports/series suggesting that adalimumab can be used to treat generalized granuloma annulare, dosing regimens and the need for long-term use remain inconsistent. This case adds further evidence for considering adalimumab as a sustained therapeutic option for recalcitrant generalized granuloma annulare. The patient responded to adalimumab, a tumor necrosis factor-alpha antagonist, administered biweekly for a year, then switched to weekly intervals. Most granuloma annulare lesions improved within 2 months and continued to improve throughout the treatment. Adalimumab may be proposed as a therapeutic treatment for recalcitrant forms of generalized granuloma annulare.
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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 | 0.001 | 0.001 |
| 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) | 0.004 | 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".