Evidence map›Paper›PMID 28823109›Full record

Trial reportSleep & breathing = Schlaf & Atmung2018

Comparison of two home sleep testing devices with different strategies for diagnosis of OSA.

Tyler Gumb, Akosua Twumasi, Shahnaz Alimokhtari, Alan Perez, Kathleen Black, David M Rapoport, Jag Sunderram, Indu Ayappa

Open access · greenAbstract readClinical TrialComparative Study
In one paragraph

Trial report 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
1.4field-weighted citation impact, top 19% 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, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

8 authors at 5 institutions in 1 country.

Tyler GumbDivision of Pulmonary, Critical Care and Sleep Medicine, New York University, New York, NY, USA.
Akosua TwumasiDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1232, New York, NY, 10029, USA.
Shahnaz AlimokhtariEnvironmental and Occupational Health Sciences Institute, Rutgers Biomedical and Health Sciences, Piscataway, NJ, USA.
Alan PerezEnvironmental and Occupational Health Sciences Institute, Rutgers Biomedical and Health Sciences, Piscataway, NJ, USA.
Kathleen BlackEnvironmental and Occupational Health Sciences Institute, Rutgers Biomedical and Health Sciences, Piscataway, NJ, USA.
David M RapoportDivision of Pulmonary, Critical Care and Sleep Medicine, New York University, New York, NY, USA.
Jag SunderramDepartment of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, 08903, USA.
Indu AyappaDivision of Pulmonary, Critical Care and Sleep Medicine, New York University, New York, NY, USA. indu.ayappa@mssm.edu.
Icahn School of Medicine at Mount Sinai · USRutgers, The State University of New Jersey · USEnvironmental and Occupational Health Sciences Institute · USJohnson University · USNew York University · US

Funding

Obstructive Sleep Apnea in WTC Responders: Role of Nasal PathologyU01OH010415 · OH · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI AYAPPA, INDU A, SUNDERRAM, JAG · 2012 to 2015
$4.0M
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
NHLBI NIH HHS K24 HL109156NIH HHS K24HL109156NIOSH CDC HHS U01 OH010415NIOSH CDC HHS U01OH010415
6 · The paper itself

Abstract

purposeHome sleep testing devices are being widely used in diagnosis/screening for obstructive sleep apnea (OSA). We examined differences in OSA metrics obtained from two devices with divergent home monitoring strategies, the Apnea Risk Evaluation System (ARES™, multiple signals plus forehead reflectance oximetry) and the Nonin WristOx

methodsOne hundred fifty-two male/26 female subjects (BMI = 30.3 ± 5.6 kg/m

resultsCorrelation between AHI4

conclusionsOSA severity metrics predominantly dependent on change in oxygen saturation and metrics used in diagnosis of OSA (AHI4 and ODI) correlated well across devices tested. However, differences in cumulative oxygen desaturation measures (i.e., %time < 90%O2Sat) between the devices suggest that caution is needed when interpreting this metric particularly in populations likely to have significant hypoxia.

Indexed as

OximetryPolysomnographyFemaleHumansMaleMiddle AgedOxygenSleepSleep Apnea, ObstructiveOxygenLimited channel monitoringObstructive sleep apneaOximetryPortable monitoringSleep disordered breathing

Identifiers

PMID28823109
PMCPMC5818320
OpenAlexW2745330995

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.