Evidence map›Paper›PMID 27815038›Full record

ReviewSleep medicine reviews2017

Phenotypes in obstructive sleep apnea: A definition, examples and evolution of approaches.

Andrey V Zinchuk, Mark J Gentry, John Concato, Henry K Yaggi

Registry-linked trialAbstract readReview
In one paragraph

Review in Sleep medicine reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06825923 (Precise Intervention of Obstructive Sleep Apnea Based on Phenotypic Characteristics and Endotypic Mechanisms), which is not on this map. Cited by 194 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
194citing papers in PubMed, 6 pooled it
10.1field-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.

NCT06825923 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Precise Intervention of Obstructive Sleep Apnea Based on Phenotypic Characteristics and Endotypic Mechanisms

TypeobservationalSponsorNanjing Medical UniversityRan2025 to 2029Enrolled200ConditionsObstructive Sleep ApneaArmsClinical and Endotypic Assessmen
3 · Its place in the literature

Who cites it

194 citing papers in PubMed, 6 syntheses or guidelines pooled it, 323 citations in OpenAlex.

  1. Pooled it
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  12. Positional Obstructive Sleep Apnea: A Model for Precision Sleep Medicine.Journal of otorhinolaryngology, hearing and balance medicine · 2026
    Article
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  14. Review
  15. Review
  16. Review
  17. Article
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  19. Validation of a deep learning-based system for sleep staging, arousal detection, and respiratory event scoring in atrial fibrillation patients.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
    Article
  20. Airway Anatomy and Surgical Management in Obstructive Sleep Apnea.Clinical and experimental otorhinolaryngology · 2026
    Review

134 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

4 authors at 2 institutions in 1 country.

Andrey V ZinchukDepartment of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA. Electronic address: andrey.zinchuk@yale.edu.
Mark J GentryCushing/Whitney Medical Library, Yale University School of Medicine, New Haven, CT, USA.
John ConcatoDepartment of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA; Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, USA.
Henry K YaggiDepartment of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA; Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, USA.
Yale University · USWhitney Museum of American Art · US

Funding

Training Translational Lung Biology and PathobiologyT32HL007778 · NHLBI · YALE UNIVERSITY · PI Erica L Herzog, NAFTALI KAMINSKI · 1994 to 2026
$14.4M
Yale Center for Sleep Disturbance in Acute and Chronic ConditionsP20NR014126 · NINR · YALE UNIVERSITY · PI KRYGER, MEIR H, YAGGI, HENRY KLAR · 2012 to 2016
$1.4M
Mentoring in Sleep Research and Sleep Interventions in Heart Disease, and StrokeK24HL132093 · NHLBI · YALE UNIVERSITY · PI YAGGI, HENRY KLAR · 2016 to 2020
$336k
NHLBI NIH HHS K24 HL132093NHLBI NIH HHS T32 HL007778NINR NIH HHS P20 NR014126
6 · The paper itself

Abstract

Obstructive sleep apnea (OSA) is a complex and heterogeneous disorder and the apnea hypopnea index alone can not capture the diverse spectrum of the condition. Enhanced phenotyping can improve prognostication, patient selection for clinical trials, understanding of mechanisms, and personalized treatments. In OSA, multiple condition characteristics have been termed "phenotypes." To help classify patients into relevant prognostic and therapeutic categories, an OSA phenotype can be operationally defined as: "A category of patients with OSA distinguished from others by a single or combination of disease features, in relation to clinically meaningful attributes (symptoms, response to therapy, health outcomes, quality of life)." We review approaches to clinical phenotyping in OSA, citing examples of increasing analytic complexity. Although clinical feature based OSA phenotypes with significant prognostic and treatment implications have been identified (e.g., excessive daytime sleepiness OSA), many current categorizations lack association with meaningful outcomes. Recent work focused on pathophysiologic risk factors for OSA (e.g., arousal threshold, craniofacial morphology, chemoreflex sensitivity) appears to capture heterogeneity in OSA, but requires clinical validation. Lastly, we discuss the use of machine learning as a promising phenotyping strategy that can integrate multiple types of data (genomic, molecular, cellular, clinical) to identify unique, meaningful OSA phenotypes.

Indexed as

PhenotypeHumansSleep Apnea, ObstructiveSleep, REMCluster analysisObstructive sleep apneaPersonalized medicinePhenotypePositionalRapid eye movement (REM) related

Identifiers

PMID27815038
PMCPMC5389934
OpenAlexW2530070824

What OpenQuestion holds

Textmetadata
LicenceTDM
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.