Evidence map›Paper›PMID 30311183›Full record

ArticleSleep & breathing = Schlaf & Atmung2018

Addition of frontal EEG to adult home sleep apnea testing: does a more accurate determination of sleep time make a difference?

Matthew P Light, Thalia N Casimire, Catherine Chua, Viachaslau Koushyk, Omar E Burschtin, Indu Ayappa, David M Rapoport

Open access · greenAbstract read
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Quantifying the sources of discrepancy between total recording time and total sleep time in home sleep apnea testing: insights from home-based polysomnography.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Observational
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Photoplethysmography in Normal and Pathological Sleep.Sensors (Basel, Switzerland) · 2021
    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

7 authors at 2 institutions in 1 country.

Matthew P LightDivision of Pulmonary, Critical Care, and Sleep Medicine, New York University School of Medicine, New York, NY, USA. mlight@ucsd.edu.
Thalia N CasimireDivision of Pulmonary, Critical Care, and Sleep Medicine, New York University School of Medicine, New York, NY, USA.
Catherine ChuaDivision of Pulmonary, Critical Care, and Sleep Medicine, New York University School of Medicine, New York, NY, USA.
Viachaslau KoushykDivision of Pulmonary, Critical Care, and Sleep Medicine, New York University School of Medicine, New York, NY, USA.
Omar E BurschtinDivision of Pulmonary, Critical Care, and Sleep Medicine, New York University School of Medicine, New York, NY, USA.
Indu AyappaDivision of Pulmonary, Critical Care, and Sleep Medicine, New York University School of Medicine, New York, NY, USA.
David M RapoportDivision of Pulmonary, Critical Care, and Sleep Medicine, New York University School of Medicine, New York, NY, USA.
New York University · USIcahn School of Medicine at Mount Sinai · US

Funding

Mentoring Research in the Physiology of Sleep Disordered BreathingK24HL109156 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI AYAPPA, INDU A · 2013 to 2023
$1.0M
National Institute of Health NIH K24 HL109156NHLBI NIH HHS K24 HL109156
6 · The paper itself

Abstract

rationaleHome sleep apnea testing (HSAT) typically does not include electroencephalogram (EEG) monitoring for sleep assessment. In patients with insomnia and low sleep efficiency, overestimation of the sleep period can result from absence of EEG, which will reduce sleep disordered breathing (SDB) indices and may lead to a false-negative result.

objectiveTo validate a single channel frontal EEG for scoring sleep versus wake against full EEG during polysomnography, and then to examine the utility of adding this single channel EEG to standard HSAT to prevent false-negative results.

methodsEpoch-by-epoch validation for sleep scoring of single channel EEG versus full PSG was first performed in 21 subjects. This was followed by a separate retrospective analysis of 207 consecutive HSATs in adults performed in a university-affiliated sleep center using the Somte (Compumedics) HSAT with one frontal EEG as well as chin EMG, nasal airflow, oxyhemoglobin saturation, respiratory effort, pulse rate, and body position. Each study was scored twice, with (HSAT MEASUREMENTS AND MAIN

resultsSingle channel and full EEG during polysomnography agreed on sleep versus wake in 92-95% of all epochs. HSAT without EEG overestimated the sleep period by 20% (VST = 440 ± 76 min vs TST = 356 ± 82 min), had a false-negative rate of 8% by AHI4 criteria, and underestimated disease severity in 11% of all patients. Sub-group analysis of patients with subjective poor sleep suggesting insomnia did not change the results. Patients later shown to have low sleep efficiency had lower SDB indices and a 20.8% false negative rate of sleep apnea diagnosis.

conclusionsAlthough overall false negative rates using HSAT

Indexed as

AdultElectroencephalographyFemaleHome Care ServicesHumansMaleMiddle AgedMonitoring, AmbulatoryPolysomnographyRetrospective StudiesSleep Apnea, ObstructiveSleep Apnea SyndromesElectroencephalogramHome sleep apnea testingObstructive sleep apneaOSA diagnosisPortable monitoring

Identifiers

PMID30311183
PMCPMC7477926
OpenAlexW2896471810

What OpenQuestion holds

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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.