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Record W4312922119 · doi:10.22374/cjgim.v17i2.593

Multisystem Inflammatory Syndrome in an Adult After COVID-19 Vaccination

2022· article· en· W4312922119 on OpenAlexaffvenue
Kevin Chien, Lisa Duffett, Dimitrios Scarvelis

Bibliographic record

VenueCanadian Journal of General Internal Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicKawasaki Disease and Coronary Complications
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineMalaiseVaccinationCoronavirus disease 2019 (COVID-19)GynecologyPediatricsImmunologyInternal medicineDisease

Abstract

fetched live from OpenAlex

Multisystem inflammatory syndrome in adults (MIS-A) is a hyperinflammatory syndrome associated with COVID-19, for which our understanding of diagnosis and treatment continues to evolve. We present a case of a 62-year-old woman with fever, fatigue, and general malaise with pancytopenia and significantly elevated inflammatory markers 3½ weeks after the first dose of her Pfizer-BioNTech COVID-19 vaccine consistent with MIS-A post-vaccination. Most cases of MIS-A have been associated with previous COVID-19 infection, but our case highlights that MIS-A is a potentially rare adverse event post-vaccination, even in individuals without previous COVID-19 infection.

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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
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 head0.021
GPT teacher head0.296
Teacher spread0.276 · 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

Citations0
Published2022
Admission routes2
Has abstractyes

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Same venueCanadian Journal of General Internal MedicineSame topicKawasaki Disease and Coronary ComplicationsFrench-language works237,207