Evidence map›Paper›PMID 40564367›Full record

ArticleAnimals : an open access journal from MDPI2025

Alcoholization as an Alternative Treatment for Prostatic Cyst and Abscess in Dogs.

Giulia Ballotta, Giuseppe Spinella, Marco Cunto, Daniele Zambelli

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. 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

4 authors.

Giulia BallottaDepartment of Veterinary Medical Sciences, University of Bologna, 40064 Bologna, Italy.ORCID 0000-0003-2079-172X
Giuseppe SpinellaDepartment of Veterinary Medical Sciences, University of Bologna, 40064 Bologna, Italy.
Marco CuntoDepartment of Veterinary Medical Sciences, University of Bologna, 40064 Bologna, Italy.ORCID 0000-0003-0140-1044
Daniele ZambelliDepartment of Veterinary Medical Sciences, University of Bologna, 40064 Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current therapeutic approaches for prostatic cysts and abscesses involve surgical methods like reduction and omentalization. This retrospective study evaluates the effectiveness and safety of ultrasound-guided percutaneous drainage combined with alcoholization as a minimally invasive treatment for prostatic cysts and abscesses in dogs. Forty-three male dogs with a single prostatic cavity (1-6 cm) were enrolled and categorized into two groups: group A (twenty-two dogs with prostatic abscesses treated via alcoholization) and group B (twenty-one dogs with BPH-associated cysts). Group B was further subdivided into three subgroups: B1 (finasteride only), B2 (alcoholization only), and B3 (combined finasteride and alcoholization). Alcoholization involved sedation, drainage of the cavity, and two ethanol instillations (first: 1/3-1/4 of aspirated volume; second: 1/10 after 25 min). Ultrasound evaluations were performed at scheduled intervals of up to 150 days. In group A, 76.19% of abscesses were resolved within 30 days, with complete resolution in all dogs by day 150. In group B, the combined treatment (group B3) showed superior outcomes, with significant cyst diameter reduction observed in all dogs within 30 days and complete resolution in 62.5% by day 150. These findings support alcoholization as an effective, low-complication alternative to surgery for selected prostatic lesions in dogs.

Indexed as

alcoholizationalcohol sclerotherapydogethanolpercutaneous ethanol injection (PEI)prostateprostatic abscessprostatic cyst

Identifiers

PMID40564367
PMCPMC12189533

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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.