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Record W2913495210 · doi:10.1177/2050313x19829620

Acrodermatitis continua of Hallopeau successfully treated with adalimumab: A case report

2019· article· en· W2913495210 on OpenAlexaff
Erika L. Crowley, Khalad Maliyar, Fabian Rodríguez-Bolaños, Ashley O’Toole, Melinda Gooderham

Bibliographic record

VenueSAGE Open Medical Case Reports · 2019
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsProbity Medical ResearchQueen's UniversityUniversity of TorontoTrent UniversitySKiN Health
Fundersnot available
KeywordsAcrodermatitisMedicineDermatologyAdalimumabSurgeryPathologyTumor necrosis factor alphaInternal medicineAlternative medicine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.000

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.

Opus teacher head0.011
GPT teacher head0.261
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2019
Admission routes1
Has abstractyes

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