Evidence map›Paper›PMID 41153983›Full record

ArticleAnimals : an open access journal from MDPI2025

Ability of Surface Electrocardiography in Predicting Ventricular Arrhythmias in Dogs with Secondary Atrial Fibrillation.

Giovanni Romito, Chiara Mazzoldi, Carlotta Valente, Helen Poser, Giulia Arcuri, Barbara Contiero, Carlo Guglielmini

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

7 authors.

Giovanni RomitoDepartment of Veterinary Medical Sciences, Alma Mater Studiorum-Università di Bologna, Via Tolara di Sopra 50, 40064 Ozzano Emilia, Italy.ORCID 0000-0003-3927-1601
Chiara MazzoldiDepartment of Veterinary Medical Sciences, Alma Mater Studiorum-Università di Bologna, Via Tolara di Sopra 50, 40064 Ozzano Emilia, Italy.
Carlotta ValenteDepartment of Animal Medicine, Productions and Health (MAPS), University of Padua, Viale dell'Università 16, 35020 Legnaro, Italy.ORCID 0000-0002-0189-7812
Helen PoserDepartment of Animal Medicine, Productions and Health (MAPS), University of Padua, Viale dell'Università 16, 35020 Legnaro, Italy.ORCID 0000-0003-2323-7708
Giulia ArcuriDepartment of Animal Medicine, Productions and Health (MAPS), University of Padua, Viale dell'Università 16, 35020 Legnaro, Italy.ORCID 0009-0003-5674-0112
Barbara ContieroDepartment of Animal Medicine, Productions and Health (MAPS), University of Padua, Viale dell'Università 16, 35020 Legnaro, Italy.ORCID 0000-0002-6586-5035
Carlo GuglielminiDepartment of Animal Medicine, Productions and Health (MAPS), University of Padua, Viale dell'Università 16, 35020 Legnaro, Italy.ORCID 0000-0001-7575-3646

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atrial fibrillation (AF) and ventricular arrhythmias (VAs) are common pathological arrhythmias of dogs and are both associated with a poor prognosis in those with cardiac disease. This study aimed to assess the ability of 2 to 5 min electrocardiography (routine ECG) to detect the presence and severity of concomitant VAs in dogs with secondary AF. Continuous 24 h ECG monitoring (Holter) was used as the reference standard to identify VAs, quantify the number of premature ventricular ectopic complexes (VPCs) and evaluate the degree of their organization using a modified Lown-Wolf classification scale. In light of the Holter findings, VAs were classified as severe based on two criteria: the presence of more than 100 VPCs and a Lown-Wolf grade ≥ 4. Thirty-five dogs with secondary AF were included, where all exhibited VAs on Holter monitoring. Most dogs had severe VAs, according to both the VPC count (69%) and Lown-Wolf classification (77%). However, only 13 dogs (37%) had VAs detectable on routine ECG. A significant positive correlation was found between the presence of VAs on routine ECG and the severity of VAs identified via Holter. Nevertheless, the diagnostic accuracy of routine ECG in predicting severe VAs was only moderate (68.6% based on VPC count and 60% based on Lown-Wolf grade). Overall, a 2 to 5 min ECG appears to be a highly specific but relatively insensitive tool for detecting VAs in dogs with secondary AF.

Indexed as

cardiac arrhythmiaechocardiographyelectrocardiographyHolter monitoringsupraventricular arrhythmiaventricular premature complexes

Identifiers

PMID41153983
PMCPMC12561760

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Registered trials

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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.