Evidence map›Paper›PMID 42216714›Full record

ArticleVeterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association2026

Assessment of the Radiopacity of Medication in Veterinary Medicine.

Eleonora D'Incecco, Anna M Adrian, Conor Rowan

Abstract read
In one paragraph

Article in Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association, 2026. 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

3 authors.

Eleonora D'InceccoDepartment of Diagnostic Imaging, Frontier Veterinary Specialists, Hergolding, Vaterstetten, Germany.
Anna M AdrianDepartment of Diagnostic Imaging, Frontier Veterinary Specialists, Hergolding, Vaterstetten, Germany.ORCID https://orcid.org/0009-0006-4421-6075
Conor RowanDepartment of Diagnostic Imaging, The Queen's Veterinary School Hospital, University of Cambridge, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiographic and computed tomographic (CT) visibility of human medications has been widely studied; however, equivalent data for veterinary medications remain limited. This study evaluated the radiographic visibility, dissolution characteristics, and CT features of commonly used veterinary and some human medications using a standardized water model. Seventy-five medications were assessed for radiopacity prior to submersion, immediately after submersion, after 30 min, and after 1 h. All medications were visible without water. More than half (54.6%) remained identifiable immediately after submersion, decreasing to 13.3% after 30 min and to 6.6% after 1 h. The gastrointestinal complementary feed, vitamin B12, potassium chloride, and carprofen retained visibility throughout the experiment. Tablet area and height varied widely and demonstrated a weak positive correlation with visibility only after 60 min of submersion. Higher Hounsfield units (HU) values were moderately correlated with visibility at baseline, with the strength of this association decreasing over time as dissolution progressed. This study suggests radiography may be of limited use for the identification of ingested medication and provides images and HU values as a reference for clinicians.

Indexed as

Tomography, X-Ray ComputedVeterinary DrugsAnimalsVeterinary MedicineVeterinary Drugsingestionpharmaceuticalradiographs

Identifiers

PMID42216714
PMCPMC13355124

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.