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Record W4388288069 · doi:10.5070/d329562403

Two congenital cases of pigmented epithelioid melanocytoma with unique clinical and genetic features

2023· article· en· W4388288069 on OpenAlexaff
Hiba Zaaroura, Benoit M. Cyrenne, Gino R. Somers, Karen WY Wong, Kristen M. Davidge, Evan J. Propst, Abhaya V. Kulkarni, Winnie Lo, Anita Villani, Irene Lara‐Corrales, Rebecca Levy

Bibliographic record

VenueDermatology Online Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicCutaneous Melanoma Detection and Management
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineLymph nodeDermatologyPathology

Abstract

fetched live from OpenAlex

Pigmented epithelioid melanocytomas (PEM) are intermediate-grade melanocytic lesions with frequent lymph node involvement and rare metastases that tend to follow an indolent course with a favorable outcome. We report two unique cases of congenital PEM with PRKCA fusion transcripts: a multifocal PEM with an aggressive incompletely resectable scalp tumor and a solitary palmar PEM with newly reported ITGB5-PRKCA fusion. Through these case reports and a summary of previously reported cases, we outline the spectrum of disease of PEM and highlight the key clinical and histopathologic features associated with PEM with PRKCA fusion transcripts. We also discuss the treatment options and suggest that surgical excision without further adjuvant systemic treatment is reasonable first-line therapy given the favorable prognosis.

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)0.005
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.332
Teacher spread0.307 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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