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Record W4233634788 · doi:10.1177/014556131309200718

Laryngotracheal Rhinosporidiosis

2013· article· en· W4233634788 on OpenAlexaff
J. Madana, Deeke Yolmo, S. Gopalakrishnan, Sunil Kumar Saxena

Bibliographic record

VenueEar Nose & Throat Journal · 2013
Typearticle
Languageen
FieldVeterinary
TopicInfectious Diseases and Mycology
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineRhinosporidiosisLarynxNoseNasal cavityBronchoscopySoft tissueConjunctivaSurgeryPathology

Abstract

fetched live from OpenAlex

Rhinosporidiosis is a chronic granulomatous disease caused by Rhinosporidium seeberi. It usually affects mucous membranes of the nose, nasopharynx, and ocular conjunctiva. Cutaneous, laryngeal, tracheal, genital, and bony dissemination is rare. Laryngotracheal involvement poses many diagnostic and therapeutic challenges. A 45-year-old South Indian man presented with complaints of a mass in both nostrils for 2 years, associated with progressive hoarseness of voice and difficulty in breathing for 6 months. Rhinosporidial lesions were seen bilaterally in the nasal cavity. Telescopic and fiberoptic laryngoscopic examinations showed reddish, strawberry-like masses with whitish spots on their surface involving the larynx and trachea. Computed tomography of the head and neck revealed soft-tissue mass lesions involving the bilateral nasal cavities and nasopharynx, extending to the oropharynx and involving the larynx and trachea. A preliminary tracheostomy was performed, followed by direct laryngoscopic excision of the laryngeal lesions and rigid-bronchoscopy-guided excision of the tracheal lesions. The patient was prescribed dapsone and advised to take it for 2 years. At 2 years of follow-up, there was no recurrence.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.681
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0200.005

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 head0.030
GPT teacher head0.302
Teacher spread0.272 · 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; both teacher heads agree on what is shown here.

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

Citations9
Published2013
Admission routes1
Has abstractyes

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