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Record W4408244145 · doi:10.1016/j.ebiom.2025.105629

Cohort-level clinical trajectory and molecular landscape of idiopathic subglottic stenosis for precision laryngology—a study of the Canadian Airways Research (CARE) group

2025· article· en· W4408244145 on OpenAlexafffundabout
Rui Lin, Peter YF. Zeng, Kevin Fung, Halema Khan, Matthew J. Cecchini, Amanda Hu, Jennifer Anderson, Patrick MacInnis, Amir Karimi, Shengjie Ying, MohdWessam Al Jawhri, Sherman Lin, Laura Jarycki, Mushfiq Hassan Shaikh, Harrison Pan, Bryan Coburn, Joe S. Mymryk, Richard Inculet, John W. Barrett, Anthony C. Nichols

Bibliographic record

VenueEBioMedicine · 2025
Typearticle
Languageen
FieldMedicine
TopicTracheal and airway disorders
Canadian institutionsUniversity of TorontoUniversity Health NetworkUniversity of British ColumbiaWestern UniversitySt. Michael's Hospital
FundersPhysicians' Services Incorporated FoundationAcademic Medical Organization of Southwestern Ontario
KeywordsSubglottic stenosisCohortMedicineSubglottisLarynxInternal medicineStenosisSurgeryGlottis

Abstract

fetched live from OpenAlex

BACKGROUND: First described in 1972, idiopathic subglottic stenosis (iSGS) is a serious chronic orphan disease characterised by recurrent scarring of the subglottis. Although the cause is unknown, iSGS is almost exclusively restricted to Caucasian females typically in their fourth to sixth decade. However, given its rare incidence (1:400,000), understanding the clinical trajectory and molecular factors associated with iSGS disease development and prognosis has been difficult. In the current study we sought to unravel the pathogenesis of iSGS at the clinical, transcriptional, and genetic level in a prospective cohort. METHODS: We prospectively enrolled 126 patients with iSGS, 104 controls, and 13 patients with traumatic SGS. Within this cohort, we profiled 114 human epiglottis and 121 human subglottis biopsies across three different conditions: control, iSGS, and intubation-related traumatic stenosis using bulk and single nucleus RNA-sequencing. Whole exome sequencing for germline variants was performed for 70 controls and 75 patients with iSGS. FINDINGS: Patients with iSGS received a median number of five (range 0-18) surgical dilations at a rate of 1.031 dilations (range: 0.12-6.2) per year. Older age at diagnosis and higher Cotton-Myers grade were associated with increased number of surgical dilations over time. Cohort-level bulk transcriptomics found that iSGS pathology was restricted within the subglottis and did not affect anatomically adjacent epiglottis, opposite to previous hypotheses. We further identified cellular subsets associated with iSGS prognosis and severity. Finally, patients with iSGS exhibit lower testosterone predicted using a polygenic score. INTERPRETATION: Together, our data refines our understanding of laryngeal biology and provides insights into the clinical trajectory of subglottic stenoses. Future research should explore the role of testosterone in the development of iSGS. FUNDING: This study was funded by a grant from the American Laryngology Association (#1082), an Academic Medical Organization of Southwestern Ontario innovation fund grant (INN21-016), grant support from the Departments of Otolaryngology-Head and Neck Surgery at University of Toronto and Western University. ACN was supported by the Wolfe Surgical Research Professorship in the Biology of Head and Neck Cancers Fund. PYFZ was supported by a Vanier Canada Graduate Scholarship and PSI foundation fellowship.

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)0.002
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 score0.026
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.065
GPT teacher head0.384
Teacher spread0.319 · 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

Citations6
Published2025
Admission routes3
Has abstractyes

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