Evidence map›Paper›PMID 25580606›Full record

Trial reportJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2015

A Comprehensive Evaluation of a Two-Channel Portable Monitor to "Rule in" Obstructive Sleep Apnea.

Kim L Ward, Nigel McArdle, Alan James, Alexandra P Bremner, Laila Simpson, Matthew N Cooper, Lyle J Palmer, Annette C Fedson, Sutapa Mukherjee, David R Hillman

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
3.6field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2017
    Guideline
  4. Observational
  5. Article
  6. The prevalence and comorbidities of obstructive sleep apnea in middle-aged men and women: the Busselton Healthy Ageing Study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Smart technologies toward sleep monitoring at home.Biomedical engineering letters · 2019
    Review
  11. Sleep and Long-Term Care.Sleep medicine clinics · 2018
    Review
  12. Central sleep apnea in multiple sclerosis: a pilot study.Sleep & breathing = Schlaf & Atmung · 2017
    Article
  13. Oxygen Desaturation Index Differs Significantly Between Types of Sleep Software.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2017
    Article
  14. Underestimation of Sleep Apnea With Home Sleep Apnea Testing Compared to In-Laboratory Sleep Testing.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2017
    Article
  15. Improving Accuracy of Home Sleep Apnea Testing.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2017
    Article
  16. Home Portable Sleep Testing Has Gone Global.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2016
    Article
  17. Home Sleep Testing: It's Not How You Play the Game, It's Whether You Win or Lose.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2015
    Article
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 2 countries.

Kim L WardSchool of Population Health, The University of Western Australia, Perth, Australia.
Nigel McArdleWestern Australian Sleep Disorders Research Institute, Queen Elizabeth Medical Centre, Perth, Australia.
Alan JamesWestern Australian Sleep Disorders Research Institute, Queen Elizabeth Medical Centre, Perth, Australia.
Alexandra P BremnerSchool of Population Health, The University of Western Australia, Perth, Australia.
Laila SimpsonSchool of Anatomy and Human Biology, The University of Western Australia, Perth, Australia.
Matthew N CooperTelethon Kids Institute, The University of Western Australia, Subiaco, Australia.
Lyle J PalmerThe Joanna Briggs Institute and School of Translational Health Science, University of Adelaide, Adelaide, Australia.
Annette C FedsonCenter for Sleep and Circadian Neurobiology, University of Pennsylvania, PA.
Sutapa MukherjeeWestern Australian Sleep Disorders Research Institute, Queen Elizabeth Medical Centre, Perth, Australia.
David R HillmanWestern Australian Sleep Disorders Research Institute, Queen Elizabeth Medical Centre, Perth, Australia.
The University of Western Australia · AUSir Charles Gairdner Hospital · AUThe Kids Research Institute Australia · AUThe University of Adelaide · AUUniversity of Pennsylvania · USWest Australian Sleep Disorders Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesWe hypothesized that a dual-channel portable monitor (PM) device could accurately identify patients who have a high pretest probability of obstructive sleep apnea (OSA), and we evaluated factors that may contribute to variability between PM and polysomnography (PSG) results.

methodsConsecutive clinic patients (N = 104) with possible OSA completed a home PM study, a PM study simultaneous with laboratory PSG, and a second home PM study. Uniform data analysis methods were applied to both PM and PSG data. Primary outcomes of interest were the positive likelihood ratio (LR+) and sensitivity of the PM device to "rule-in" OSA, defined as an apnea-hypopnea index (AHI) ≥ 5 events/h on PSG. Effects of different test environment and study nights, and order of study and analysis methods (manual compared to automated) on PM diagnostic accuracy were assessed.

resultsThe PM has adequate LR+ (4.8), sensitivity (80%), and specificity (83%) for detecting OSA in the unattended home setting when benchmarked against laboratory PSG, with better LR+ (> 5) and specificity (100%) and unchanged sensitivity (80%) in the simultaneous laboratory comparison. There were no significant night-night (all p > 0.10) or study order effects (home or laboratory first, p = 0.08) on AHI measures. Manual PM data review improved case finding accuracy, although this was not statistically significant (all p > 0.07). Misclassification was more frequent where OSA was mild.

conclusionsOverall performance of the PM device is consistent with current recommended criteria for an "acceptable" device to confidently "rule-in" OSA (AHI ≥ 5 events/h) in a high pretest probability clinic population. Our data support the utility of simple two-channel diagnostic devices to confirm the diagnosis of OSA in the home environment. COMMENTARY: A commentary on this article appears in this issue on page 411.

Indexed as

FemaleHumansMaleMiddle AgedMonitoring, PhysiologicPolysomnographyReproducibility of ResultsSleep Apnea, Obstructiveobstructive sleep apneaportable monitorpositive likelihood ratiorule-insensitivitytype 4validation

Identifiers

PMID25580606
PMCPMC4365457
OpenAlexW1975564532

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.