Evidence map›Paper›PMID 40726514›Full record

ArticleVeterinary medicine international2025

Development of a Model for Predicting Enlarged Prostate Size in Noncastrated Dogs Through B-Mode Ultrasound.

Guillermo Cazzuli, Juan Pablo Damián, Paula Pessina, Gonzalo Suárez

Abstract read
In one paragraph

Article in Veterinary medicine international, 2025. 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

4 authors.

Guillermo CazzuliDepartamento de Clínicas y Hospital Veterinario, Facultad de Veterinaria, Universidad de la República, Montevideo, Uruguay.ORCID https://orcid.org/0000-0002-5009-2439
Juan Pablo DamiánDepartamento de Biociencias Veterinarias, Facultad de Veterinaria, Universidad de la República, Montevideo, Uruguay.ORCID https://orcid.org/0000-0001-8042-5743
Paula PessinaDepartamento de Clínicas y Hospital Veterinario, Facultad de Veterinaria, Universidad de la República, Montevideo, Uruguay.ORCID https://orcid.org/0000-0002-7809-9026
Gonzalo SuárezDepartamento de Clínicas y Hospital Veterinario, Facultad de Veterinaria, Universidad de la República, Montevideo, Uruguay.ORCID https://orcid.org/0000-0003-2452-3546

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prostate in noncastrated male dogs typically experiences an increase in weight and size as they age, which can result in the development of prostatic disorders. Benign prostatic hyperplasia (BPH) is the most common prostate disorder in these dogs. The purpose of this study was to develop a model that could differentiate between dogs with normal prostate sizes and those with enlarged prostate sizes. To achieve this, the researchers evaluated prostate sizes and volumes estimated by B-mode ultrasound in healthy noncastrated dogs and dogs with BPH, considering factors such as weight, age, aorta diameter, and the presence of intraparenchymal cysts. Two hundred and sixty noncastrated male dogs of various breeds were used, with two hundred and thirty-three dogs in the healthy group and twenty-seven dogs in the BPH group. Data on breed, body weight, and age were collected for each dog, and B-mode ultrasound was performed to obtain prostate variables of length, width, and average height, as well as the presence/absence of intraparenchymal cysts and aorta diameter. All variables presented differences between groups except aorta diameter. All dogs with BPH were older than 6 years (

Indexed as

caninediagnostic imagingprostate disorders

Identifiers

PMID40726514
PMCPMC12303645

What OpenQuestion holds

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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.