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Record W2770795562 · doi:10.1159/000484488

Erosive Pustular Dermatosis: A Manifestation of Immunosenescence A Report of 8 Cases

2017· article· en· W2770795562 on OpenAlexaff
Thusanth Thuraisingam, Paradi Mirmirani

Bibliographic record

VenueSkin Appendage Disorders · 2017
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders
Canadian institutionsMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsScalpDermatologyImmunosenescenceMedicinePathogenesisScarring alopeciaImmune systemPathologyImmunology

Abstract

fetched live from OpenAlex

Erosive pustular dermatosis (EPD) is a rare condition of the scalp and legs that is marked by crusted erosions or superficial ulcerations that may result in scarring alopecia and chronic wounds. The condition predominantly affects elderly female as compared to male patients. Its pathogenesis remains poorly understood. The majority of the cases in the literature are from the United Kingdom and continental Europe. In this series, we present 8 North American patients with EPD of the scalp, one of whom also had involvement of the legs and another with the involvement of the face. All our patients were advanced in age and had a predisposition to chronic actinic damage, which are common characteristics of EPD previously reported in the literature. We hypothesize that immunosenescence leads to an aberrant immune response to wound healing and, along with other factors such as a loss of the normal epidermal barrier, ultraviolet damage, and hormonal factors, may contribute to the development of this condition.

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)0.001
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
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 head0.012
GPT teacher head0.290
Teacher spread0.277 · 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
Published2017
Admission routes1
Has abstractyes

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