Evidence map›Paper›PMID 32081650›Full record

ArticleChest2020

Variability and Misclassification of Sleep Apnea Severity Based on Multi-Night Testing.

Naresh M Punjabi, Susheel Patil, Ciprian Crainiceanu, R Nisha Aurora

Open access · greenAbstract read
In one paragraph

Article in Chest, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 2% 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

74 citing papers in PubMed, 1 synthesis or guideline pooled it, 109 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Long-term night-to-night variability of sleep-disordered breathing using a radar-based home sleep apnea test: a prospective cohort study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024
    Trial
  4. A new wearable diagnostic home sleep testing platform: comparison with available systems and benefits of multinight assessments.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023
    Trial
  5. Trial
  6. Validation of the Withings Sleep Analyzer, an under-the-mattress device for the detection of moderate-severe sleep apnea syndrome.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021
    Trial
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Validation of an artificial intelligence based single-channel photoplethysmography home sleep apnea test.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
    Article
  15. Article
  16. Steam-assisted respiratory muscle training may improve sleep quality in mild-to-moderate obstructive sleep apnea: a pilot polysomnography study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
    Article
  17. Article
  18. Review
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Naresh M PunjabiDepartment of Medicine, Johns Hopkins University, Baltimore, MD; Department of Epidemiology, Johns Hopkins University, Baltimore, MD. Electronic address: npunjabi@jhmi.edu.
Susheel PatilDepartment of Medicine, Johns Hopkins University, Baltimore, MD.
Ciprian CrainiceanuDepartment of Biostatistics, Johns Hopkins University, Baltimore, MD.
R Nisha AuroraDepartment of Medicine, Johns Hopkins University, Baltimore, MD.
Johns Hopkins University · US

Funding

Implications of Obstructive Sleep Apnea for Fat MetabolismR01HL146709 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI PUNJABI, NARESH M · 2019 to 2022
$3.0M
Treating Sleep Apnea in Type 2 Diabetes Mellitus: A Randomized Clinical TrialR01HL117167 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI PUNJABI, NARESH M · 2014 to 2017
$2.9M
Obstructive Sleep Apnea and Glycemic Variability in Type 2 DiabetesK23HL118414 · NHLBI · RBHS-ROBERT WOOD JOHNSON MEDICAL SCHOOL · PI AURORA, RASHMI NISHA · 2014 to 2018
$883k
NHLBI NIH HHS K23 HL118414NHLBI NIH HHS R01 HL117167NHLBI NIH HHS R01 HL146709
6 · The paper itself

Abstract

backgroundPortable monitoring is a convenient means for diagnosing sleep apnea. However, data on whether one night of monitoring is sufficiently precise for the diagnosis of sleep apnea are limited. RESEARCH QUESTION: The current study sought to determine the variability and misclassification in disease severity over three consecutive nights in a large sample of patients referred for sleep apnea.

methodsA sample of 10,340 adults referred for sleep apnea testing was assessed. A self-applied type III monitor was used for three consecutive nights. The apnea-hypopnea index (AHI) was determined for each night, and a reference AHI was computed by using data from all 3 nights. Pairwise correlations and the proportion misclassified regarding disease severity were computed for each of the three AHI values against the reference AHI.

resultsStrong correlations were observed between the AHI from each of the 3 nights (r = 0.87-0.89). However, substantial within-patient variability in the AHI and significant misclassification in sleep apnea severity were observed based on any 1 night of monitoring. Approximately 93% of the patients with a normal study on the first night and 87% of those with severe sleep apnea on the first night were correctly classified compared with the reference derived from all three nights. However, approximately 20% of the patients with mild and moderate sleep apnea on the first night were misdiagnosed either as not having sleep apnea or as having mild disease, respectively.

conclusionsIn patients with mild to moderate sleep apnea, one night of portable testing can lead to misclassification of disease severity given the substantial night-to-night variability in the AHI.

Indexed as

AdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPolysomnographyPredictive Value of TestsReproducibility of ResultsSeverity of Illness IndexSleep Apnea SyndromesTime FactorsYoung Adulthome sleep apnea testportable monitoringsleep apnea

Identifiers

PMID32081650
PMCPMC7339240
OpenAlexW3007368404

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.