Evidence map›Paper›PMID 40260214›Full record

ArticleFrontiers in veterinary science2025

Septal-to-basal ventricular peak activation time determined by vectorcardiography as a potential new pre-screening parameter for preclinical dilated cardiomyopathy in Doberman Pinschers.

Margot Gheeraert, Gerhard Wess, Gitte Mampaey, Jenny Eberhard, Peter Gheeraert, Jan De Pooter, Luc Duchateau, Pascale Smets

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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.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

8 authors.

Margot GheeraertFaculty of Veterinary Medicine, University of Ghent, Ghent, Belgium.
Gerhard WessLudwig-Maximilians-University of Munich, Munich, Germany.
Gitte MampaeyFaculty of Veterinary Medicine, University of Ghent, Ghent, Belgium.
Jenny EberhardLudwig-Maximilians-University of Munich, Munich, Germany.
Peter GheeraertFaculty of Medicine and Health Science, University of Ghent, Munich, Germany.
Jan De PooterFaculty of Medicine and Health Science, University of Ghent, Munich, Germany.
Luc DuchateauFaculty of Veterinary Medicine, University of Ghent, Ghent, Belgium.
Pascale SmetsFaculty of Veterinary Medicine, University of Ghent, Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early diagnosis of preclinical dilated cardiomyopathy (DCM) remains challenging in primary veterinary medicine due to the need for echocardiography and 24-h Holter electrocardiogram (ECG) recording. A readily available pre-screening tool to identify dogs at high risk could optimize current screening practice. Electrocardiographic methods have not been investigated for this purpose. Vectorcardiographic septal-to-basal ventricular peak activation time (SB-VPAT) was investigated in a preliminary pilot study. We hypothesize that SB-VPAT is a sensitive parameter for detection of systolic dysfunction due to preclinical DCM stage B2 and correlates with left ventricular size and function in Doberman Pinschers. Animals: One hundred and twenty-two Doberman Pinschers (98 control and 24 with systolic dysfunction due to preclinical DCM). Methods: Prospective cross-sectional study. All dogs underwent echocardiography, three-minute six or 12-lead ECG and RELF ECG. Based on echocardiographic evaluation, dogs were classified into a control group (including apparently healthy dogs and dogs with ventricular arrhythmia's only) or a group with systolic dysfunction associated with preclinical DCM stage B2. ROC curves of SB-VPAT and its correlation with left ventricular size and function were analyzed. Results: SB-VPAT ≥33.5 ms had a sensitivity of 94.4% and specificity of 83.6% for the detection of systolic dysfunction due to preclinical DCM stage B2 (AUC 0.954, SD 0.022). Furthermore, SB-VPAT was strongly correlated with the left ventricular systolic diameter, systolic volume index and moderately inversely correlated with EF. Conclusions and clinical importance: In conclusion, SB-VPAT is a sensitive parameter to detect systolic dysfunction associated with preclinical DCM stage B2. Further investigation of its diagnostic potential compared to or in combination with other tools in a primary care veterinary setting is warranted.

Indexed as

canineECGRELFVCGvector

Identifiers

PMID40260214
PMCPMC12009881

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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.