Evidence map›Paper›PMID 32043131›Full record

ArticleSleep2020

Predicting sleep apnea responses to oral appliance therapy using polysomnographic airflow.

Daniel Vena, Ali Azarbarzin, Melania Marques, Sara Op de Beeck, Olivier M Vanderveken, Bradley A Edwards, Nicole Calianese, Lauren B Hess, Reza Radmand, Garun S Hamilton and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Sleep, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
5.4field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Oral appliances for obstructive sleep apnoea in adults.The Cochrane database of systematic reviews · 2026
    Pooled it
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  3. Trial
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  5. Trial
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  7. Article
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  9. Observational
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  11. Sleep apnea physiological burdens and markers of white matter injury: the Multi-Ethnic Study of Atherosclerosis.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  12. 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
  13. Combination Tonsillectomy and Hypoglossal Nerve Stimulation for Sleep Apnea Patients With Oropharyngeal Lateral Wall Collapse.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2024
    Article
  14. Article
  15. Sleep Apnea Physiological Burdens and Cardiovascular Morbidity and Mortality.American journal of respiratory and critical care medicine · 2023
    Article
  16. Article
  17. The role of oral appliance therapy in obstructive sleep apnoea.European respiratory review : an official journal of the European Respiratory Society · 2023
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 3 institutions in 5 countries.

Daniel VenaDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Ali AzarbarzinDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Melania MarquesDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Sara Op de BeeckFaculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium.
Olivier M VandervekenFaculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium.
Bradley A EdwardsSleep and Circadian Medicine Laboratory, Department of Physiology and School of Psychological Sciences, Turner Institute for Brain and Mental Health, Notting Hill, Australia.
Nicole CalianeseDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Lauren B HessDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Reza RadmandDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Garun S HamiltonMonash Lung and Sleep, Monash Health, Clayton, Australia.
Simon A JoostenMonash Lung and Sleep, Monash Health, Clayton, Australia.
Luigi Taranto-MontemurroDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Sang-Wook KimDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Johan VerbraeckenFaculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium.
Marc BraemFaculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium.
David P WhiteDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Scott A SandsDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Andrew WellmanDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Brigham and Women's Hospital · USUniversity of Antwerp · BEMonash Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesOral appliance therapy is an increasingly common option for treating obstructive sleep apnea (OSA) in patients who are intolerant to continuous positive airway pressure (CPAP). Clinically applicable tools to identify patients who could respond to oral appliance therapy are limited.

methodsData from three studies (N = 81) were compiled, which included two sleep study nights, on and off oral appliance treatment. Along with clinical variables, airflow features were computed that included the average drop in airflow during respiratory events (event depth) and flow shape features, which, from previous work, indicates the mechanism of pharyngeal collapse. A model was developed to predict oral appliance treatment response (>50% reduction in apnea-hypopnea index [AHI] from baseline plus a treatment AHI <10 events/h). Model performance was quantified using (1) accuracy and (2) the difference in oral appliance treatment efficacy (percent reduction in AHI) and treatment AHI between predicted responders and nonresponders.

resultsIn addition to age and body mass index (BMI), event depth and expiratory "pinching" (validated to reflect palatal prolapse) were the airflow features selected by the model. Nonresponders had deeper events, "pinched" expiratory flow shape (i.e. associated with palatal collapse), were older, and had a higher BMI. Prediction accuracy was 74% and treatment AHI was lower in predicted responders compared to nonresponders by a clinically meaningful margin (8.0 [5.1 to 11.6] vs. 20.0 [12.2 to 29.5] events/h, p < 0.001).

conclusionsA model developed with airflow features calculated from routine polysomnography, combined with age and BMI, identified oral appliance treatment responders from nonresponders. This research represents an important application of phenotyping to identify alternative treatments for personalized OSA management.

Indexed as

Mandibular AdvancementSleep Apnea, ObstructiveContinuous Positive Airway PressureHumansPolysomnographyTreatment Outcomeoral appliance therapyOSAupper airway

Identifiers

PMID32043131
PMCPMC7355408
OpenAlexW3005609949

What OpenQuestion holds

Textmetadata
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.