Evidence map›Paper›PMID 31138387›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2019

The Respiratory Signature: A Novel Concept to Leverage Continuous Positive Airway Pressure Therapy as an Early Warning System for Exacerbations of Common Diseases such as Heart Failure.

Christopher N Schmickl, Eric Heckman, Robert L Owens, Robert J Thomas

Abstract readCase Reports
In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Potential and future challenges for Cheyne-Stokes breathing telemonitoring from continuous positive airway pressure devices.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023
    Article
  2. Article
  3. Article
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  6. Artificial intelligence in sleep medicine: an American Academy of Sleep Medicine position statement.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2020
    Article
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

4 authors.

Christopher N SchmicklUniversity of California San Diego, San Diego, California.
Eric HeckmanBeth Israel Deaconess Medical Center, Boston, Massachusetts.
Robert L OwensUniversity of California San Diego, San Diego, California.
Robert J ThomasBeth Israel Deaconess Medical Center, Boston, Massachusetts.

Funding

Training in the Next Generation in Respiratory ScienceT32HL134632 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL, POWELL, FRANK L. · 2017 to 2021
$2.1M
NHLBI NIH HHS T32 HL134632
6 · The paper itself

Abstract

abstractEach night millions of patients use continuous positive airway pressure (CPAP) to treat obstructive sleep apnea (OSA). To facilitate monitoring of treatment success, modern CPAP machines routinely record and analyze the respiratory signal in near real-time and submit some of these data to the manufacturer's centralized cloud server. Some of the conditions frequently associated with OSA such as heart failure or chronic obstructive pulmonary disease result in characteristic changes of the respiratory signal ("signatures"), especially during exacerbations. Thus, this infrastructure could be leveraged to detect changes in patients' health status facilitating early interventions. To illustrate this concept, we present and discuss the case of a patient with OSA who showed abrupt changes in his breathing pattern (increase in periodic breathing and machine-detected obstructive apneas) from 10 days prior until 8 days after a hospitalization for acute heart failure exacerbation.

Indexed as

AgedContinuous Positive Airway PressureHeart FailureHumansMaleSleep Apnea, ObstructiveStroke Volumecontinuous positive airway pressurerespiratory signaturesleep apnea

Identifiers

PMID31138387
PMCPMC6557656

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.