ArticleLaryngoscope investigative otolaryngology2022
Healthcare disparities for the development of airway stenosis from the medical intensive care unit.
Article in Laryngoscope investigative otolaryngology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Contextual nonmedical health factors and critical care-related outcomes: a systematic review.Critical care (London, England) · 2025Pooled it
- Reducing health disparities in providing care services in the intensive care unit: a critical ethnographic study.BMC medical ethics · 2024Article
- Ageism and lookism as stereotypes of health disparity in intensive care units in Iran: a critical ethnography.International journal for equity in health · 2024Article
- Geospatial evaluation of access to otolaryngology care in the United States.Laryngoscope investigative otolaryngology · 2024Article
- Article
- Risk factors for developing subglottic and tracheal stenosis from the medical intensive care unit.Laryngoscope investigative otolaryngology · 2023Article
- Healthcare disparities for the development of airway stenosis from the medical intensive care unit.Laryngoscope investigative otolaryngology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Objectives/hypothesis: To identify sociodemographic factors associated with the development of airway stenosis (AS) among intubated medical intensive care unit (MICU) patients. Study design: Retrospective cohort study. Methods: A retrospective review of adult MICU intubated patients from 2013 to 2019 at a single academic institution was performed. Univariate and multivariate analysis with logistic regression examined associations between the development of AS and subsite abnormalities such as posterior glottic stenosis (PGS), subglottic stenosis (SGS), tracheal stenosis (TS), vocal fold immobility (VFI), and posterior glottic granuloma (PGG) with age, body mass index (BMI), height, weight, race, ethnicity, sex, rurality, Appalachian status, length of admission, distance to hospital, and median household income. Results: Of an overall sample of 6603 MICU patients, 449 intubated patients were included in the study, and 204 patients were found to have AS. AS was statistically associated with decreased driving distance to the hospital and increases in BMI. PGS was statistically associated with increases in age. TS was statistically associated with increases in admission duration and not having residence status in Appalachia. VFI was statistically associated with decreases in driving distance to the hospital and not having residence status in Appalachia. Additionally, black patients had a higher odds of developing VFI compared to Caucasian patients. Conclusion: AS is associated with sociodemographic factors such as age, BMI, shorter distance to hospital, admission duration, and no Appalachian status. These data demonstrate the need to further investigate the impact of social determinants of health on airway pathology and outcomes. Level of evidence: 4.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.