Evidence map›Paper›PMID 38885898›Full record

ReviewChest2024

Physiologic Consequences of Upper Airway Obstruction in Sleep Apnea.

Ali Azarbarzin, Gonzalo Labarca, Younghoon Kwon, Andrew Wellman

Abstract readReview
In one paragraph

Review in Chest, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Oxygen overshoot burden of central sleep apnea and its association with cardiovascular outcomes.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
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  7. Review
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  11. Article
  12. Article
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  15. Observational
  16. Review
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  20. Observational
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

4 authors.

Ali AzarbarzinDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA. Electronic address: aazarbarzin@bwh.harvard.edu.
Gonzalo LabarcaDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Respiratory Diseases, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Younghoon KwonDepartment of Medicine, University of Washington, Seattle, WA.
Andrew WellmanDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.

Funding

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
Sleep Apnea-Specific Nocturnal Blood Pressure Surge to Determine Cardiovascular Risks and Therapeutic Benefits in Patients with Obstructive Sleep ApneaR01HL158765 · NHLBI · UNIVERSITY OF WASHINGTON · PI KWON, YOUNGHOON · 2021 to 2025
$3.5M
Phenotyping Mechanistic Pathways for Adverse Health Outcomes in Sleep ApneaR01HL153874 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI AZARBARZIN, ALI · 2020 to 2024
$3.3M
Novel physiologically-driven phenotypes for the prognosis of cardiovascular outcomes in sleep apnea: Toward precision medicine in sleep healthR21HL161766 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI AZARBARZIN, ALI · 2022 to 2023
$279k
Deep learning of awake and sleep electrocardiography to identify atrial fibrillation risk in sleep apneaR21HL167126 · NHLBI · UNIVERSITY OF WASHINGTON · PI AKBILGIC, OGUZ, AZARBARZIN, ALI · 2023 to 2024
$202k
NHLBI NIH HHS R01 HL102321NHLBI NIH HHS R01 HL128658NHLBI NIH HHS R01 HL153874NHLBI NIH HHS R01 HL158765NHLBI NIH HHS R21 HL161766NHLBI NIH HHS R21 HL167126
6 · The paper itself

Abstract

OSA is diagnosed and managed by a metric called the apnea-hypopnea index (AHI). The AHI quantifies the number of respiratory events (apnea or hypopnea), disregarding important information on the characteristics and physiologic consequences of respiratory events, including degrees of ventilatory deficit and associated hypoxemia, cardiac autonomic response, and cortical activity. The oversimplification of the disorder by the AHI is considered one of the reasons for divergent findings on the associations of OSA and cardiovascular disease (CVD) in observational and randomized controlled trial studies. Prospective observational cohort studies have demonstrated strong associations of OSA with several cardiovascular diseases, and randomized controlled trials of CPAP intervention have not been able to detect a benefit of CPAP to reduce the risk of CVD. Over the last several years, novel methodologies have been proposed to better quantify the magnitude of OSA-related breathing disturbance and its physiologic consequences. As a result, stronger associations with cardiovascular and neurocognitive outcomes have been observed. In this review, we focus on the methods that capture polysomnographic heterogeneity of OSA.

Indexed as

Sleep Apnea, ObstructiveAirway ObstructionCardiovascular DiseasesContinuous Positive Airway PressureHumansPolysomnographyAHIcardiac autonomic response sleep apneacardiovascularhypoxic burdenventilatory burden

Identifiers

PMID38885898
PMCPMC11562659

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.