Evidence map›Paper›PMID 38665772›Full record

ArticleFrontiers in veterinary science2024

Exploring sleep heart rate variability: linear, nonlinear, and circadian rhythm perspectives.

Mizuki Hasegawa, Mayuko Sasaki, Yui Umemoto, Rio Hayashi, Akari Hatanaka, Marino Hosoki, Ahmed Farag, Katsuhiro Matsuura, Tomohiko Yoshida, Kazumi Shimada and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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 5 institutions in 2 countries.

Mizuki HasegawaDepartment of Veterinary Surgery, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Mayuko SasakiDepartment of Veterinary Surgery, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Yui UmemotoDepartment of Veterinary Surgery, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Rio HayashiDepartment of Veterinary Surgery, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Akari HatanakaDepartment of Veterinary Surgery, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Marino HosokiDepartment of Veterinary Surgery, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Ahmed FaragDepartment of Veterinary Surgery, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Katsuhiro MatsuuraDepartment of Small Animal Clinical Sciences, College of Veterinary Medicine University of Florida, Gainesville, FL, United States.
Tomohiko YoshidaDepartment of Small Animal Medical Center, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Hokkaido, Japan.
Kazumi ShimadaDepartment of Veterinary Surgery, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Lina HamabeDepartment of Veterinary Surgery, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Ken TakahashiDepartment of Pediatrics, Juntendo University, Urayasu Hospital, Chiba, Japan.
Ryou TanakaDepartment of Veterinary Surgery, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Tokyo University of Agriculture and Technology · JPJuntendo University Urayasu Hospital · JPObihiro University of Agriculture and Veterinary Medicine · JPUniversity of Florida · USYokohama City University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Heart rate variability (HRV) is believed to possess the potential for disease detection. However, early identification of heart disease remains challenging, as HRV analysis in dogs primarily reflects the advanced stages of the disease. Hypothesis/objective: The aim of this study is to compare 24-h HRV with sleep HRV to assess the potential utility of sleep HRV analysis. Animals: Thirty healthy dogs with no echocardiographic abnormalities were included in the study, comprising 23 females and 7 males ranging in age from 2 months to 8 years (mean [standard deviation], 1.4 [1.6]). Methods: This study employed a cross-sectional study. 24-h HRV and sleep HRV were measured from 48-h Holter recordings. Both linear analysis, a traditional method of heart rate variability analysis, and nonlinear analysis, a novel approach, were conducted. Additionally, circadian rhythm parameters were assessed. Results: In frequency analysis of linear analysis, the parasympathetic index nHF was significantly higher during sleep compared to the mean 24-h period (mean sleep HRV [standard deviation] vs. mean 24 h [standard deviation], 95% confidence interval, Conclusion: The findings suggest that focusing on HRV during sleep can provide a more accurate representation of parasympathetic activity, as it captures the peak circadian rhythm items.

Indexed as

autonomic balancedaytime activitiesearly detectionparasympathetic nervessympathetic nerves

Identifiers

PMID38665772
PMCPMC11044001
OpenAlexW4394719506

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.