Evidence map›Paper›PMID 36217084›Full record

ArticleAdvances in experimental medicine and biology2022

ECG and Heart Rate Variability in Sleep-Related Breathing Disorders.

Hua Qin, Fernando Vaquerizo-Villar, Nicolas Steenbergen, Jan F Kraemer, Thomas Penzel

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In one paragraph

Article in Advances in experimental medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Hua QinInterdisciplinary Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Fernando Vaquerizo-VillarBiomedical Engineering Group, Universidad de Valladolid, Valladolid, Spain.
Nicolas SteenbergenImperial College London School of Medicine, London, UK.
Jan F KraemerDepartment of Physics, Humboldt Universität zu Berlin, Berlin, Germany.
Thomas PenzelSleep Medicine Center, Charite Universitätsmedizin Berlin, Berlin, Berlin, Germany. thomas.penzel@charite.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here we discuss the current perspectives of comprehensive heart rate variability (HRV) analysis in electrocardiogram (ECG) signals as a non-invasive and reliable measure to assess autonomic function in sleep-related breathing disorders (SDB). It is a tool of increasing interest as different facets of HRV can be implemented to screen and diagnose SDB, monitor treatment efficacy, and prognose adverse cardiovascular outcomes in patients with sleep apnea. In this context, the technical aspects, pathophysiological features, and clinical applications of HRV are discussed to explore its usefulness in better understanding SDB.

Indexed as

Sleep Apnea SyndromesSleep Wake DisordersElectrocardiographyHeart RateHumansPolysomnographySleepAutonomic dysfunctionAutonomic nervous system activityChaotic invariant analysisCorrelation dimensionDetrended fluctuation analysisEntropyFrequency-domain analysisHeart rate variabilityNonlinear analysisPoincaré plotRecurrence plotsSleep apneaSleep-related breathing disordersSymbolic dynamicsTime-domain analysis

Identifiers

PMID36217084

What OpenQuestion holds

Textmetadata
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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.