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Record W4416117385 · doi:10.3138/jammi-2025-0006

Rhinoscleroma and chronic rhinosinusitis—an insidious presentation

2025· article· en· W4416117385 on OpenAlexaffvenueabout
Babak Pourmomenarabi, Leigh J. Sowerby, Keith Kwan, Lise Bondy

Bibliographic record

VenueJournal of the Association of Medical Microbiology and Infectious Disease Canada · 2025
Typearticle
Languageen
FieldVeterinary
TopicInfectious Diseases and Mycology
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsRhinoscleromaEpidemiologyOtorhinolaryngologyDiseasePresentation (obstetrics)SinusitisAntibiotic therapyAntibiotics

Abstract

fetched live from OpenAlex

Background: Rhinoscleroma is a chronic granulomatous infectious disease of the respiratory mucosa, endemic in some countries of Central America, Southeast Asia, and parts of Africa, but rare in North America. Methods: We report the case of a 35-year-old man who immigrated to Canada from El Salvador at 10 years of age who was diagnosed with rhinoscleroma 25 years after his immigration. Results: He presented with chronic rhinosinusitis (CRS), rhinorrhea, and nasal congestion for 14 years that did not respond to standard CRS treatment. His symptoms resolved with the administration of appropriate antibiotic therapy following the diagnosis of rhinoscleroma based on histopathological examination and nasal culture. Conclusion: This case report highlights the importance of recognizing non-endemic diseases in the era of mass global migration. Clinicians should consider epidemiology and non-endemic infections when evaluating patients with CRS and refer those who are refractory to standard therapy to an otolaryngologist for further assessment.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

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

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 head0.006
GPT teacher head0.259
Teacher spread0.254 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2025
Admission routes3
Has abstractyes

Explore more

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