Evidence map›Paper›PMID 25515107›Full record

ArticleSleep2015

An Integrative Model of Physiological Traits Can be Used to Predict Obstructive Sleep Apnea and Response to Non Positive Airway Pressure Therapy.

Robert L Owens, Bradley A Edwards, Danny J Eckert, Amy S Jordan, Scott A Sands, Atul Malhotra, David P White, Stephen H Loring, James P Butler, Andrew Wellman

2 registry-linked trialsOpen access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sleep, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 79 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 3 pooled it
13.8field-weighted citation impact, top 1% 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.

NCT02566278 naterminatednot on this map

Determination of Upper Airway Collapsibility During Routine CPAP Titration

TypeinterventionalSponsorUniversity of California, San DiegoRan2015 to 2016Enrolled20ConditionsObstructive Sleep ApneaArmsUpper airway collapsibility (Pcrit)
NCT02696629 unknown statusnot on this mapstarted 2016, after this paper: background citation

The Impact of Sleep Apnea Treatment on Physiology Traits in Chinese Patients With Obstructive Sleep Apnea

TypeobservationalSponsorBeijing Tongren HospitalRan2016 to 2018Enrolled60ConditionsObstructive Sleep ApneaArmsupper airway surgery, Continues positive airway pressure, education and follow up
3 · Its place in the literature

Who cites it

79 citing papers in PubMed, 3 syntheses or guidelines pooled it, 138 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. The importance of obstructive sleep apnoea and hypopnea pathophysiology for customized therapy.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 · 2017
    Pooled it
  4. Trial
  5. A randomized controlled trial of oxygen therapy for patients who do not respond to upper airway surgery for obstructive sleep apnea.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021
    Trial
  6. Trial
  7. Trial
  8. Article
  9. Review
  10. Chinese Guidelines for the Diagnosis and Surgical Treatment of Adult Obstructive Sleep Apnea (2024).World journal of otorhinolaryngology - head and neck surgery · 2026
    Article
  11. Article
  12. Redefining Obstructive Sleep Apnea: Multidimensional Phenotyping Beyond the Apnea-Hypopnea Index.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026
    Review
  13. Clinical Phenotypes of Obstructive Sleep Apnea: A Decade of Evidence Toward Personalized Management.Pathophysiology : the official journal of the International Society for Pathophysiology · 2025
    Review
  14. Article
  15. Observational
  16. Article
  17. Review
  18. Article
  19. Review
  20. Pleiotropic effects of a high confidence Autism Spectrum Disorder gene,Neurobiology of sleep and circadian rhythms · 2023
    Article

19 more citing papers are in PubMed but not listed here.

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

10 authors at 5 institutions in 2 countries.

Robert L OwensSleep Disorders Research Program, Division of Sleep Medicine, Brigham and Women's and Harvard Medical School, Boston, MA.
Bradley A EdwardsSleep Disorders Research Program, Division of Sleep Medicine, Brigham and Women's and Harvard Medical School, Boston, MA.
Danny J EckertNeuroscience Research Australia (NeuRA) and the School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia.
Amy S JordanMelbourne School of Physiological Sciences, University of Melbourne, Melbourne, Victoria, Australia.
Scott A SandsSleep Disorders Research Program, Division of Sleep Medicine, Brigham and Women's and Harvard Medical School, Boston, MA.
Atul MalhotraPulmonary and Critical Care Division, University of California - San Diego, La Jolla, CA.
David P WhiteSleep Disorders Research Program, Division of Sleep Medicine, Brigham and Women's and Harvard Medical School, Boston, MA.
Stephen H LoringDepartment of Anesthesia and Critical Care, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA.
James P ButlerSleep Disorders Research Program, Division of Sleep Medicine, Brigham and Women's and Harvard Medical School, Boston, MA.
Andrew WellmanSleep Disorders Research Program, Division of Sleep Medicine, Brigham and Women's and Harvard Medical School, Boston, MA.
Harvard University · USBrigham and Women's Hospital · USNeuroscience Research Australia · AUUniversity of California, San Diego · USUniversity of Melbourne · AU

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 MOCHIZUKI, TAKATOSHI · 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
SLEEP, AIRWAY PATENCY, AND THE PHARYNGEAL MUSCULATURER01HL048531 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI WHITE, DAVID P. · 1992 to 2009
$3.8M
Single Motor Unit Genioglossus Recordings to Understand Sleep Apnea PathogenesisR01HL085188 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL · 2008 to 2018
$3.5M
Assessment of Upper Airway Mechanics Using Newer Electromyographic TechniquesK24HL132105 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL · 2016 to 2020
$611k
The Role of Lung Volumes in Nocturnal AsthmaK23HL105542 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI OWENS, ROBERT LLEWELLYN · 2011 to 2013
$459k
NCRR NIH HHS UL1 RR025758NHLBI NIH HHS K23 HL105542NHLBI NIH HHS K23HL105542NHLBI NIH HHS K24 HL132105NHLBI NIH HHS P01 HL095491NHLBI NIH HHS R01 HL048531NHLBI NIH HHS R01 HL085188NHLBI NIH HHS R01 HL102321NHLBI NIH HHS R01HL102321
6 · The paper itself

Abstract

STUDY

objectivesBoth anatomical and nonanatomical traits are important in obstructive sleep apnea (OSA) pathogenesis. We have previously described a model combining these traits, but have not determined its diagnostic accuracy to predict OSA. A valid model, and knowledge of the published effect sizes of trait manipulation, would also allow us to predict the number of patients with OSA who might be effectively treated without using positive airway pressure (PAP). DESIGN, PARTICIPANTS AND

interventionFifty-seven subjects with and without OSA underwent standard clinical and research sleep studies to measure OSA severity and the physiological traits important for OSA pathogenesis, respectively. The traits were incorporated into a physiological model to predict OSA. The model validity was determined by comparing the model prediction of OSA to the clinical diagnosis of OSA. The effect of various trait manipulations was then simulated to predict the proportion of patients treated by each intervention. MEASUREMENTS AND

resultsThe model had good sensitivity (80%) and specificity (100%) for predicting OSA. A single intervention on one trait would be predicted to treat OSA in approximately one quarter of all patients. Combination therapy with two interventions was predicted to treat OSA in ∼50% of patients.

conclusionsAn integrative model of physiological traits can be used to predict population-wide and individual responses to non-PAP therapy. Many patients with OSA would be expected to be treated based on known trait manipulations, making a strong case for the importance of non-anatomical traits in OSA pathogenesis and the effectiveness of non-PAP therapies.

Indexed as

Airway ManagementModels, BiologicalAdultFemaleHumansMaleMiddle AgedPhenotypePolysomnographyPrognosisReproducibility of ResultsRespiratory SystemSensitivity and SpecificitySleepSleep Apnea, ObstructiveTreatment Outcomearousal thresholdnon PAP therapyobstructive sleep apneaupper airway anatomy

Identifiers

PMID25515107
PMCPMC4434563
OpenAlexW2401798823

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.