Evidence map›Paper›PMID 41607936›Full record

ArticleFrontiers in veterinary science2025

Early detection of subclinical heart disease via nonlinear heart rate variability in a doxorubicin-induced cardiomyopathy experimental model in dogs.

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

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

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

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Echocardiography is the first choice for assessing the structure and function of the heart, but it is unclear for detecting subclinical changes. In recent years, abnormal heart rate variability (HRV) has received attention for its ability to identify patients at risk for developing heart failure. HRV analysis in veterinary medicine is predominantly limited to linear analysis, which primarily reflects advanced heart disease. In contrast, nonlinear HRV analysis holds the potential for early detection of heart disease, but its quantitative evaluation remains rare. Objectives: This study aimed to evaluate the feasibility of using HRV for the early heart disease detection in clinical settings, with a focus on doxorubicin (DXR)-induced myocardial damage in dogs. Animals and methods: Six healthy female dogs with no abnormalities on physical examination, blood pressure, electrocardiography (ECG) and echocardiography were selected in this study. The dogs had an average age of 1.2 years and an average body weight of 8.1 kg. After recording blood pressure, ECG and echocardiography, the dogs were fitted with a Holter ECG, and measurements were taken for 2 days. Following the removal of the Holter ECG, DXR at 30 mg/m Results: There were no changes in recommended parameters of left ventricular systolic function (FS: 34.4% [33.9-42.8] vs. 37.8% [34.7-42.8], Conclusion: The finding that nonlinear HRV analysis reflected early increased sympathetic activity associated with DXR administration in dogs is an important step forward in enhancing the clinical application potential of HRV.

Indexed as

cardiologydogsHolter electrocardiographyparasympathetic nervesPoincaré plotsympathetic nervestwo-dimensional speckle-tracking echocardiography

Identifiers

PMID41607936
PMCPMC12836387

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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.