Evidence map›Paper›PMID 31402439›Full record

ArticleSleep & breathing = Schlaf & Atmung2020

Detecting central sleep apnea in adult patients using WatchPAT-a multicenter validation study.

Giora Pillar, Murray Berall, Richard Berry, Tamar Etzioni, Noam Shrater, Dennis Hwang, Marai Ibrahim, Efrat Litman, Prasanth Manthena, Nira Koren-Morag and 6 more

Open access · hybridAbstract readMulticenter StudyValidation Study
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 4 pooled it
5.0field-weighted citation impact, top 4% 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

34 citing papers in PubMed, 4 syntheses or guidelines pooled it, 73 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. A meta-analysis of diagnostic test performance of peripheral arterial tonometry studies.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022
    Pooled it
  5. From classic to cutting-edge: technological approaches to respiratory physiological signals in assessing sleep-disordered breathing.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
    Review
  6. Obstructive sleep apnea screening performance of the STOP-BANG questionnaire and a home sleep apnea test device in atrial fibrillation ablation candidates.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2026
    Article
  7. Article
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  9. Prevalence and predictors of obstructive sleep apnea in collegiate football players.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
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  13. Review
  14. Assessment of Sleep Disorders in Patients with CVID.Journal of clinical immunology · 2024
    Article
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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

16 authors at 13 institutions in 4 countries.

Giora PillarTechnion Faculty of Medicine, Sleep Laboratory, Carmel Medical Center, Haifa, Israel. gpillar@technion.ac.il.ORCID http://orcid.org/0000-0002-0553-4226
Murray BerallCenter of Sleep and Chronobiology, Toronto, ON, Canada.
Richard BerryHealth Sleep center, University of Florida, Gainesville, FL, USA.
Tamar EtzioniTechnion Faculty of Medicine, Sleep Laboratory, Carmel Medical Center, Haifa, Israel.
Noam ShraterCardiology Department, Soroka Medical Center, Be'er Sheva, Israel.
Dennis HwangKaiser Permanente Fontana Medical Center, Fontana, CA, USA.
Marai IbrahimCardiology Department, Rambam Medical Center, Haifa, Israel.
Efrat LitmanItamar Medical, Caesarea, Israel.
Prasanth ManthenaSleep clinic, Kaiser Permanente Los Angeles Medical Center, Los Angeles, CA, USA.
Nira Koren-MoragSackler School of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel.
Anil RamaKaiser Permanente San Jose Medical Center, San Jose, CA, USA.
Robert P SchnallItamar Medical, Caesarea, Israel.
Koby SheffyItamar Medical, Caesarea, Israel.
Rebecca SpiegelStony Brook University Hospital, Stony Brook, NY, USA.
Riva TaumanSleep Disorders Center, Tel Aviv Souraski Medical Center, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Thomas PenzelCharite Universitätsmedizin Berlin, Berlin, Germany.
Itamar Medical (Israel) · ILTel Aviv University · ILCarmel Medical Center · ILCharité - Universitätsmedizin Berlin · DEKaiser Permanente · USKaiser Permanente Fontana Medical Center · USKaiser Permanente San Jose Medical Center · USRambam Health Care Campus · ILSoroka Medical Center · ILStony Brook University Hospital · USTechnion – Israel Institute of Technology · ILToronto Sleep Institute · CAUniversity of Florida Health · US

Funding

This study was supported by an unrestricted grant from Itamar-Medical LTD. N/A
6 · The paper itself

Abstract

STUDY

objectivesTo assess the accuracy of WatchPAT (WP-Itamar-Medical, Caesarea, Israel) enhanced with a novel systolic upstroke analysis coupled with respiratory movement analysis derived from a dedicated snoring and body position (SBP) sensor, to enable automated algorithmic differentiation between central sleep apnea (CSA) and obstructive sleep apnea (OSA) compared with simultaneous in-lab sleep studies with polysomnography (PSG).

methodsEighty-four patients with suspected sleep-disordered breathing (SDB) underwent simultaneous WP and PSG studies in 11 sleep centers. PSG scoring was blinded to the automatically analyzed WP data.

resultsOverall WP apnea-hypopnea index (AHI; mean ± SD) was 25.2 ± 21.3 (range 0.2-101) versus PSG AHI 24.4 ± 21.2 (range 0-110) (p = 0.514), and correlation was 0.87 (p < 0.001). Using a threshold of AHI ≥ 15, the sensitivity and specificity of WP versus PSG for diagnosing sleep apnea were 85% and 70% respectively and agreement was 79% (kappa = 0.867). WP central AHI (AHIc) was 4.2 ± 7.7 (range 0-38) versus PSG AHIc 5.9 ± 11.8 (range 0-63) (p = 0.034), while correlation was 0.90 (p < 0.001). Using a threshold of AHI ≥ 15, the sensitivity and specificity of WP versus PSG for diagnosing CSA were 67% and 100% respectively with agreement of 95% (kappa = 0.774), and receiver operator characteristic (ROC) area under the curve of 0.866, (p < 0.01). Using a threshold of AHI ≥ 10 showed comparable overall sleep apnea and CSA diagnostic accuracies.

conclusionsThese findings show that WP can accurately detect overall AHI and effectively differentiate between CSA and OSA.

Indexed as

AdultAlgorithmsDiagnosis, DifferentialHumansIsraelPolysomnographyPrevalenceReproducibility of ResultsSleep Apnea, CentralSleep Apnea, ObstructiveSnoringValidation Studies as TopicAmbulatory monitoringCentral sleep apneaHome sleep testingPeripheral arterial toneSleep apnea

Identifiers

PMID31402439
PMCPMC7127995
OpenAlexW2967805805

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.