Evidence map›Paper›PMID 33263626›Full record

ArticleClinics (Sao Paulo, Brazil)2020

Validation of an Overnight Wireless High-Resolution Oximeter plus Cloud-Based Algorithm for the Diagnosis of Obstructive Sleep Apnea.

George do Lago Pinheiro, Andrea Fonseca Cruz, Diego Munduruca Domingues, Pedro Rodrigues Genta, Luciano F Drager, Patrick J Strollo, Geraldo Lorenzi-Filho

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Clinics (Sao Paulo, Brazil), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03526133 (Validation of a Wireless Wearable Sensor Using Mobile Technology and Cloud Computing for the Diagnosis of Sleep Apnea), which is not on this map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 11% 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.

NCT03526133 completednot on this map

Validation of a Wireless Wearable Sensor Using Mobile Technology and Cloud Computing for the Diagnosis of Sleep Apnea

TypeobservationalSponsorUniversity of Sao Paulo General HospitalRan2017 to 2019Enrolled300ConditionsSleep ApneaArmsPolysomnography (PSG) and wireless sensor Oxistar
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Pooled it
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  10. Inequalities in the access to diagnosis and treatment of obstructive sleep apnea in Brazil: a cross-sectional study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024
    Article
  11. Review
  12. Article
  13. Brazilian Thoracic Association Consensus on Sleep-disordered Breathing.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2022
    Article
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  15. Review
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

7 authors at 3 institutions in 4 countries.

George do Lago PinheiroLaboratorio do Sono, Divisao de Pneumologia, Instituto do Coraçao (InCor), Hospital das Clinicas (HCFMUSP), Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR.
Andrea Fonseca CruzBiologix Systems, Sao Paulo, SP, BR.
Diego Munduruca DominguesBiologix Systems, Sao Paulo, SP, BR.ORCID 0000-0002-7711-1353
Pedro Rodrigues GentaLaboratorio do Sono, Divisao de Pneumologia, Instituto do Coraçao (InCor), Hospital das Clinicas (HCFMUSP), Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR.
Luciano F DragerLaboratorio do Sono, Divisao de Pneumologia, Instituto do Coraçao (InCor), Hospital das Clinicas (HCFMUSP), Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR.
Patrick J StrolloDivision of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Geraldo Lorenzi-FilhoLaboratorio do Sono, Divisao de Pneumologia, Instituto do Coraçao (InCor), Hospital das Clinicas (HCFMUSP), Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR.ORCID 0000-0002-7011-7373
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRResverlogix (Canada) · CAUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesObstructive sleep apnea (OSA) is a common but largely underdiagnosed condition. This study aimed to test the hypothesis that the oxygen desaturation index (ODI) obtained using a wireless high-resolution oximeter with a built-in accelerometer linked to a smartphone with automated cloud analysis, Overnight Digital Monitoring (ODM), is a reliable method for the diagnosis of OSA.

methodsConsecutive patients referred to the sleep laboratory with suspected OSA underwent in-laboratory polysomnography (PSG) and simultaneous ODM. The PSG apnea-hypopnea index (AHI) was analyzed using the criteria recommended and accepted by the American Academy of Sleep Medicine (AASM) for the definition of hypopnea: arousal or ≥3% O2 desaturation (PSG-AHI3%) and ≥4% O2 desaturation (PSG-AHI4%), respectively. The results of PSG and ODM were compared by drawing parallels between the PSG-AHI3% and PSG-AHI4% with ODM-ODI3% and ODM-ODI4%, respectively. Bland-Altman plots, intraclass correlation, receiver operating characteristics (ROC) and area under the curve (AUC) analyses were conducted for statistical evaluation. ClinicalTrial.gov: NCT03526133.

resultsThis study included 304 participants (men: 55%; age: 55±14 years; body mass index: 30.9±5.7 kg/m2; PSG-AHI3%: 35.3±30.1/h, ODM-ODI3%: 30.3±25.9/h). The variability in the AASM scoring bias (PSG-AHI3% vs PSG-AHI4%) was significantly higher than that for PSG-AHI3% vs ODM-ODI3% (3%) and PSG-AHI4% vs ODM-ODI4% (4%) (9.7, 5.0, and 2.9/h, respectively; p<0.001). The limits of agreement (2±SD, derived from the Bland-Altman plot) of AASM scoring variability were also within the same range for (PSG vs ODM) 3% and 4% variability: 18.9, 21.6, and 16.5/h, respectively. The intraclass correlation/AUC for AASM scoring variability and PSG vs ODM 3% or 4% variability were also within the same range (0.944/0.977 and 0.953/0.955 or 0.971/0.964, respectively).

conclusionOur results showed that ODM is a simple and accurate method for the diagnosis of OSA.

Indexed as

Cloud ComputingSleep Apnea, ObstructiveAdultAgedAlgorithmsHumansMaleMiddle AgedOxygenPolysomnographyOxygen

Identifiers

PMID33263626
PMCPMC7654954
OpenAlexW3106901102

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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 Socratic graph.