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Record W4307037116 · doi:10.1177/2050313x221131859

New mycosis fungoides–like lymphomatoid reaction following COVID-19 vaccination: A case report

2022· article· en· W4307037116 on OpenAlexaff
Heidi Oi‐Yee Li, Jennifer Lipson

Bibliographic record

VenueSAGE Open Medical Case Reports · 2022
Typearticle
Languageen
FieldMedicine
TopicCutaneous lymphoproliferative disorders research
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMycosis fungoidesMedicineLymphomatoid papulosisVaccinationDermatologyLymphomaCutaneous T-cell lymphomaLymphomatoid granulomatosisCoronavirus disease 2019 (COVID-19)ImmunologyPathologyDisease

Abstract

fetched live from OpenAlex

Numerous cutaneous side effects arising from COVID-19 vaccination have been reported. Mycosis fungoides (MF) is a rare indolent form of cutaneous t-cell lymphoma. While the pathogenesis of MF is not well understood, it is thought to involve immune dysregulation. There have been reports of COVID-19 vaccination induced flares and recurrences of cutaneous lymphomas and lymphomatoid reactions. We present the first reported case of COVID-19 vaccine induced MF-like lymphomatoid reaction.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
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 score0.099
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0250.000

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 head0.038
GPT teacher head0.384
Teacher spread0.346 · 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 teacher head, not a consensus.

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

Citations4
Published2022
Admission routes1
Has abstractyes

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