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Record W2022408706 · doi:10.1097/ico.0b013e3182a0ce6e

Childhood Mucous Membrane Pemphigoid

2013· article· id· W2022408706 on OpenAlexaff
Andréane Lavallée, Dominique Bourret-Massicotte, Patricia A. Laughrea

Bibliographic record

VenueCornea · 2013
Typearticle
Languageid
FieldMedicine
TopicAutoimmune Bullous Skin Diseases
Canadian institutionsHôpital du Saint-Sacrement
Fundersnot available
KeywordsMedicineSymblepharonBiopsyDapsoneDermatologyDifferential diagnosisConjunctivaPemphigoidIndirect immunofluorescencePathologyAntibodyImmunologyBullous pemphigoid

Abstract

fetched live from OpenAlex

PURPOSE: To report a case of mucous membrane pemphigoid (MMP) occurring in childhood with exclusively ocular involvement. METHODS: Case report. RESULTS: A 12-year-old girl presented with mild bilateral conjunctival cicatrization, symblepharon, and peripheral inflammatory keratitis. No other mucosal or cutaneous involvement was present. The findings of an initial conjunctival biopsy with immunofluorescence study were negative for MMP. After a few recurrences of mild corneal and conjunctival inflammation, a second conjunctival biopsy was performed at a different site in the same eye, 30 months later. Only then was the diagnosis of MMP confirmed using positive direct immunofluorescence. The results of a systemic investigation for autoimmune vasculitis were negative. Therapy with dapsone was introduced, and a good response was obtained. CONCLUSIONS: MMP is an extremely rare condition in children. This case is the second one reported with exclusively ocular involvement. Despite its rarity in the pediatric age group, MMP should be considered in the differential diagnosis of chronic conjunctival inflammation and fibrosis. Furthermore, a single negative biopsy should not exclude this diagnosis in a suspected clinical case, even in children. When a high degree of suspicion is present, a repeat biopsy may prove useful.

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)0.002
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
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 head0.009
GPT teacher head0.221
Teacher spread0.213 · 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

Citations10
Published2013
Admission routes1
Has abstractyes

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