Successful video-assisted removal of bullet foreign body from the urinary bladder in 2 cats.

Jules Gras, Vinciane Mertz, Thomas Rousseau, Mathieu Jourdain, Olivier Gauthier, Pierre Maitre

Abstract readCase Reports

In one paragraph

Article in The Canadian veterinary journal = La revue veterinaire canadienne, 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

6 authors.

Jules GrasSmall Animal Surgery Department, Oniris VetAgroBio Nantes, Nantes-Atlantic College of Veterinary Medicine, Food Science and Engineering, Nantes, France.

Vinciane MertzSmall Animal Surgery Department, Oniris VetAgroBio Nantes, Nantes-Atlantic College of Veterinary Medicine, Food Science and Engineering, Nantes, France.

Thomas RousseauSmall Animal Surgery Department, Oniris VetAgroBio Nantes, Nantes-Atlantic College of Veterinary Medicine, Food Science and Engineering, Nantes, France.

Mathieu JourdainSmall Animal Surgery Department, Oniris VetAgroBio Nantes, Nantes-Atlantic College of Veterinary Medicine, Food Science and Engineering, Nantes, France.

Olivier GauthierSmall Animal Surgery Department, Oniris VetAgroBio Nantes, Nantes-Atlantic College of Veterinary Medicine, Food Science and Engineering, Nantes, France.

Pierre MaitreSmall Animal Surgery Department, Oniris VetAgroBio Nantes, Nantes-Atlantic College of Veterinary Medicine, Food Science and Engineering, Nantes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This report describes the successful video-assisted removals of urinary bladder bullet foreign bodies in 2 cats. In both cases, the cat was presented because of chronic dysuria and hematuria. Diagnostic imaging, including radiography and ultrasonography, identified a foreign body in the bladder, confirmed as a lead pellet. Video-assisted percutaneous endoscopy was used for foreign body removal and bladder inspection. Both cats recovered uneventfully after surgery, with no postoperative complications. This report highlights the advantages of percutaneous and video-laparoscopic-assisted endoscopy in managing urinary bladder foreign bodies in small animals, providing reduced trauma and quick recovery. Key clinical message: Endoscope-assisted foreign body removal from the bladder seems to be a safe and efficient way to retrieve small foreign bodies in cats.

Indexed as

Cat DiseasesForeign BodiesUrinary BladderVideo-Assisted SurgeryWounds, GunshotAnimalsCats

Identifiers

PMID41142976

PMCPMC12548686

What OpenQuestion holds

Textmetadata

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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.