MétaCan
Menu
Back to cohort
Record W4410509442 · doi:10.4081/dr.2025.10230

Urbach-Wiethe syndrome: report of two clinical cases

2025· article· en· W4410509442 on OpenAlexaff
Ilaria Demofonte, Emanuele Miraglia, Giovanni Pellacani, Sandra Giustini

Bibliographic record

VenueDermatology Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicGenital Health and Disease
Canadian institutionsSurgical Specialties (Canada)
Fundersnot available
KeywordsMedicineDysphagiaGenodermatosisDermatologyMucocutaneous zonePediatricsAcitretinCryingRare diseaseDiseaseSurgeryPathology

Abstract

fetched live from OpenAlex

Urbach-Wiethe syndrome, also known as lipoid proteinosis (LP), is a rare genodermatosis clinically characterized by mucocutaneous lesions, dysphonia with onset in early childhood, and, sometimes, neurological complications. Clinical signs, as well as the severity of the disease, are highly variable, while its course is usually slowly progressive. The typical primary sign is hoarse crying due to laryngeal infiltration at birth or during early childhood. Alterations of the skin and mucous membranes develop within the first two years of life. The skin lesions initially appear on the face and limbs and usually resolve by healing. Infiltration of the respiratory system can cause upper respiratory tract infections, hoarseness or aphonia, dysphagia, and even airway obstruction. Dystonia, epileptic seizures, and learning disorders may be observed in affected children. Treatment remains a major challenge as no standardized therapies exist, but oral acitretin appears to be effective in improving skin manifestations. We report two clinical cases of young women suffering from LP, presenting with dermatological, otorhinolaryngological, and neurological symptoms, currently referred to our Rare Cutaneous Syndrome Center at the Policlinico Umberto I in Rome (Italy).

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.033
GPT teacher head0.420
Teacher spread0.387 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueDermatology ReportsSame topicGenital Health and DiseaseFrench-language works237,207