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Record W4391890825 · doi:10.1177/2050313x241231423

New-onset of pemphigus following COVID-19 infection: A case report

2024· article· en· W4391890825 on OpenAlexaff
Elena Pastukhova, Feras M. Ghazawi

Bibliographic record

VenueSAGE Open Medical Case Reports · 2024
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Bullous Skin Diseases
Canadian institutionsOttawa HospitalUniversity of OttawaUniversity of Toronto
Fundersnot available
KeywordsPemphigusParaneoplastic pemphigusMedicinePemphigus vulgarisPathologyMalignancyBasement membranePrednisoneStainingDirect fluorescent antibodyDermatologyImmunologyAutoantibodyAntigenAntibodyGastroenterology

Abstract

fetched live from OpenAlex

COVID-19 has been implicated in various cutaneous autoimmune diseases. Pemphigus is a group of autoimmune blistering diseases that target the desmosomal complexes. Pemphigus triggered by COVID-19 has been seldom reported in the literature and remains both a diagnostic and therapeutic challenge. We report a case of COVID-19-induced pemphigus that responded well to prednisone and mycophenolate mofetil after 9 months from initial presentation. On histologic examination, both intercellular and basement membrane staining were noted. Indirect immunofluorescence staining was positive against the intercellular cement of the stratified epithelium from monkey esophagus. We hypothesize that COVID-19 stimulated the release of multiple pemphigus antigens, which resulted in the unusual histologic pattern reported in the present case. Although malignancy should be suspected when features of paraneoplastic pemphigus, such as basement membrane staining on direct immunofluorescence, are noted, it may also be a histologic pattern of pemphigus secondary to COVID-19 that clinicians may consider.

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)0.001
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 score0.008
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0020.003
Open science0.0020.003
Research integrity0.0080.005
Insufficient payload (model declined to judge)0.0030.002

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 head0.030
GPT teacher head0.383
Teacher spread0.353 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

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