Acrodermatitis continua of Hallopeau successfully treated with adalimumab: A case report
Bibliographic record
Abstract
Acrodermatitis continua of Hallopeau is a chronic, inflammatory, and relapsing condition that presents as pustules of the fingers and toes, often with nail involvement. This condition is infrequently reported, difficult to treat, and often misdiagnosed. Various anti-psoriatic therapies have been used, but literature is limited to case studies with equivocal results. Biological therapy is revolutionizing the management of many dermatologic conditions and is believed to be a promising option for acrodermatitis continua of Hallopeau patients who have failed conventional therapy. We report the 4-year treatment course of a 70-year-old woman with acrodermatitis continua of Hallopeau that was initially unsuccessful with conventional treatments but successfully treated with the tumor necrosis factor alpha inhibitor adalimumab, in combination with alitretinoin and clobetasol propionate. This case adds to the current understanding of acrodermatitis continua of Hallopeau and the potential of biological therapy, in our case, adalimumab, for acrodermatitis continua of Hallopeau management. Literature should continue growing to ascertain the safety and efficacy of biologic therapy for patients with acrodermatitis continua of Hallopeau.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".