Evidence map›Paper›PMID 30203176›Full record

ArticleSleep & breathing = Schlaf & Atmung2019

Home sleep apnea testing: comparison of manual and automated scoring across international sleep centers.

Ulysses J Magalang, Jennica N Johns, Katherine A Wood, Jesse W Mindel, Diane C Lim, Lia R Bittencourt, Ning-Hung Chen, Peter A Cistulli, Thorarinn Gíslason, Erna S Arnardottir and 3 more

Open access · greenAbstract readComparative Study
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  4. Noncontact respiratory monitoring during sleep: comparison of the touchless flow signal with respiratory inductance plethysmography flow (RIPJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
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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

13 authors at 7 institutions in 6 countries.

Ulysses J MagalangDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, The Ohio State University Wexner Medical Center, 201 Davis Heart and Lung Research Institute, 473 West 12th Avenue, Columbus, OH, 43210, USA. ulysses.magalang@osumc.edu.ORCID http://orcid.org/0000-0002-5052-2494
Jennica N JohnsDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, The Ohio State University Wexner Medical Center, 201 Davis Heart and Lung Research Institute, 473 West 12th Avenue, Columbus, OH, 43210, USA.
Katherine A WoodDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, The Ohio State University Wexner Medical Center, 201 Davis Heart and Lung Research Institute, 473 West 12th Avenue, Columbus, OH, 43210, USA.
Jesse W MindelDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, The Ohio State University Wexner Medical Center, 201 Davis Heart and Lung Research Institute, 473 West 12th Avenue, Columbus, OH, 43210, USA.
Diane C LimCenter for Sleep and Circadian Neurobiology, Division of Sleep Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Lia R BittencourtDepartamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil.
Ning-Hung ChenDivision of Pulmonary, Critical Care, and Sleep Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Peter A CistulliCharles Perkins Centre, University of Sydney, Camperdown, Australia.
Thorarinn GíslasonDepartment of Sleep Medicine, Landspitali University Hospital, Reykjavik, Iceland.
Erna S ArnardottirDepartment of Sleep Medicine, Landspitali University Hospital, Reykjavik, Iceland.
Thomas PenzelInterdisciplinary Center of Sleep Medicine, Charité University Hospital, Berlin, Germany.
Sergio TufikDepartamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil.
Allan I PackCenter for Sleep and Circadian Neurobiology, Division of Sleep Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
The Ohio State University Wexner Medical Center · USCircadian (United States) · USReykjavík University · ISUniversidade Federal de São Paulo · BRChang Gung Memorial Hospital · TWCharité - Universitätsmedizin Berlin · DEThe University of Sydney · AU

Funding

The OSU Center for Clinical and Translational Science: Advancing Today's Discoveries to Improve HealthUL1TR002733 · NCATS · OHIO STATE UNIVERSITY · PI RINGEL, MATTHEW D · 2018 to 2022
$28.9M
Understanding the relationship between obesity and tongue fat in humans and ratsP01HL094307 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI PACK, ALLAN I · 2009 to 2020
$23.7M
The Ohio State University Center for clinical and Translational ScienceUL1TR001070 · NCATS · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2013 to 2017
$22.6M
Conselho Nacional de Desenvolvimento Cientffico e Tecno1ogico (CNPq) 401569/2016-0Conselho Nacional de Desenvolvimento Cientffico e Tecnol6gico (CNPq) 309336/2017-1NCATS NIH HHS UL1 TR001070NCATS NIH HHS UL1TR001070NCATS NIH HHS UL1 TR002733NHLBI NIH HHS P01 HL094307
6 · The paper itself

Abstract

purposeTo determine the agreement between the manual scoring of home sleep apnea tests (HSATs) by international sleep technologists and automated scoring systems.

methodsFifteen HSATs, previously recorded using a type 3 monitor, were saved in European Data Format. The studies were scored by nine experienced technologists from the sleep centers of the Sleep Apnea Global Interdisciplinary Consortium (SAGIC) using the locally available software. Each study was scored separately by human scorers using the nasal pressure (NP), flow derived from the NP signal (transformed NP), or respiratory inductive plethysmography (RIP) flow. The same procedure was followed using two automated scoring systems: Remlogic (RLG) and Noxturnal (NOX).

resultsThe intra-class correlation coefficients (ICCs) of the apnea-hypopnea index (AHI) scoring using the NP, transformed NP, and RIP flow were 0.96 [95% CI 0.93-0.99], 0.98 [0.96-0.99], and 0.97 [0.95-0.99], respectively. Using the NP signal, the mean differences in AHI between the average of the manual scoring and the automated systems were - 0.9 ± 3.1/h (AHI

conclusionsThere is very strong agreement in the scoring of the AHI for HSATs between the automated systems and experienced international technologists. Automated scoring of HSATs using commercially available software may be useful to standardize scoring in future endeavors involving international sleep centers.

Indexed as

Diagnosis, Computer-AssistedFemaleHome NursingHumansMaleMonitoring, AmbulatoryPolysomnographySleep Apnea, ObstructiveSleep Apnea SyndromesAutomationComputer-assisted diagnosisSleep apnea

Identifiers

PMID30203176
PMCPMC6615031
OpenAlexW2891548073

What OpenQuestion holds

Textmetadata
LicenceTDM
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.