MétaCan
Menu
Back to cohort
Record W4405775304 · doi:10.1016/j.idcr.2024.e02139

A case of disseminated blastomycosis in New England

2024· article· en· W4405775304 on OpenAlexaboutno aff
Cole Royer, Kenrick Wysong, Michael Madrid, Katrina Moreau

Bibliographic record

VenueIDCases · 2024
Typearticle
Languageen
FieldMedicine
TopicFungal Infections and Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBlastomycosisNew englandDermatologyLaw

Abstract

fetched live from OpenAlex

infections are classified as dimorphic fungal infections commonly seen geographically throughout the Mississippi and Ohio River Valleys, St. Laurence Seaways, as well as the Canadian providences of Ontario Manitoba, and Saskatchewan. Although primarily endemic in the Midwestern United States, there has been a rise in cases throughout New England. Factors that could contribute to this rise of blastomycosis include a changing climate, increasing use of immunosuppressive medications as well as a greater recognition of this disease. Initial presentation of blastomycosis follows the inhalation of fungal spores which can cause flu-like symptoms or mimic acute pneumonia. Blastomycosis can also present as a disseminated infection through extrapulmonary spread in both immunocompromised and immunocompetent hosts and cases present at similar rates within the population. Here we present a case of disseminated blastomycosis in a patient from New England with no reported pre-existing risk factors. The patient developed blastomycosis osteomyelitis in the left elbow which prompted surgical intervention as well as a 12-month regimen of voriconazole therapy. This case outlines the need to adopt better surveillance practices for blastomycosis in non-endemic areas as well as highlights the imperative role of healthcare staff in implementing proper reporting measures to track the spread of blastomycosis.

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)0.003
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 score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.022
GPT teacher head0.318
Teacher spread0.296 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueIDCasesSame topicFungal Infections and StudiesFrench-language works237,207