Evidence map›Paper›PMID 28931660›Full record

ArticleThe European respiratory journal2017

Predicting epiglottic collapse in patients with obstructive sleep apnoea.

Ali Azarbarzin, Melania Marques, Scott A Sands, Sara Op de Beeck, Pedro R Genta, Luigi Taranto-Montemurro, Camila M de Melo, Ludovico Messineo, Olivier M Vanderveken, David P White and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in The European respiratory journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 72 citations in OpenAlex.

  1. Trial
  2. Article
  3. The upper airway in obstructive sleep apnoea: state of the art.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  4. Article
  5. Sleep endoscopy in obstructive sleep apnea: analysis of pharyngeal collapse patterns and correlation with body mass index.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
    Article
  6. Article
  7. Phenotypes of Velopharyngeal Tube Law in Obstructive Sleep Apnea.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 4 countries.

Ali AzarbarzinDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA aazarbarzin@bwh.harvard.edu.
Melania MarquesDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Scott A SandsDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Sara Op de BeeckTranslational Neurosciences, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.
Pedro R GentaPulmonary Division, Heart Institute (InCor), Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Luigi Taranto-MontemurroDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-7080-0335
Camila M de MeloDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Ludovico MessineoDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Olivier M VandervekenTranslational Neurosciences, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.
David P WhiteDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Andrew WellmanDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Brigham and Women's Hospital · USUniversity of Antwerp · BEHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BR

Funding

HARVARD CLINICAL AND TRANSLATIONAL SCIENCE CENTER (UL1)UL1RR025758 · NCRR · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2008 to 2011
$91.4M
Wakefulness and Forebrain Activation by Orexin NeuronsP01HL095491 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI WELLMAN, DAVID ANDREW · 2010 to 2019
$25.1M
Validation of a Phenotype Model to Predict Response to Alternative OSA TreatmentsR01HL102321 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI WELLMAN, DAVID ANDREW · 2011 to 2025
$7.3M
Determination of the site of pharyngeal collapse in Obstructive Sleep Apnea patients from snoring soundsR01HL128658 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI WELLMAN, DAVID ANDREW · 2016 to 2025
$4.3M
NCRR NIH HHS UL1 RR025758NHLBI NIH HHS P01 HL095491NHLBI NIH HHS R01 HL102321NHLBI NIH HHS R01 HL128658
6 · The paper itself

Abstract

Obstructive sleep apnoea (OSA) is characterised by pharyngeal obstruction occurring at different sites. Endoscopic studies reveal that epiglottic collapse renders patients at higher risk of failed oral appliance therapy or accentuated collapse on continuous positive airway pressure. Diagnosing epiglottic collapse currently requires invasive studies (imaging and endoscopy). As an alternative, we propose that epiglottic collapse can be detected from the distinct airflow patterns it produces during sleep.23 OSA patients underwent natural sleep endoscopy. 1232 breaths were scored as epiglottic/nonepiglottic collapse. Several flow characteristics were determined from the flow signal (recorded simultaneously with endoscopy) and used to build a predictive model to distinguish epiglottic from nonepiglottic collapse. Additionally, 10 OSA patients were studied to validate the pneumotachograph flow features using nasal pressure signals.Epiglottic collapse was characterised by a rapid fall(s) in the inspiratory flow, more variable inspiratory and expiratory flow and reduced tidal volume. The cross-validated accuracy was 84%. Predictive features obtained from pneumotachograph flow and nasal pressure were strongly correlated.This study demonstrates that epiglottic collapse can be identified from the airflow signal measured during a sleep study. This method may enable clinicians to use clinically collected data to characterise underlying physiology and improve treatment decisions.

Indexed as

SleepAdultAgedContinuous Positive Airway PressureEndoscopyEpiglottisFemaleHumansMaleMiddle AgedPolysomnographyRegression AnalysisRespirationSleep Apnea, ObstructiveTidal VolumeYoung Adult

Identifiers

PMID28931660
PMCPMC5915305
OpenAlexW2754810003

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.