Evidence map›Paper›PMID 42420001›Full record

ArticleThe Journal of veterinary medical science2026

Copper analysis of laparoscopic liver biopsy tissue samples from cats.

Kaname Suzuki, Yumi Sakamoto, Rintaro Koshida, Hitoshi Shiozawa, Mizuho Shima, Yumiko Kagawa, Manabu Sakai

Abstract read
In one paragraph

Article in The Journal of veterinary medical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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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

7 authors.

Kaname SuzukiLaboratory of Veterinary Hepatology & Gastroenterology, College of Bioresource Sciences, Nihon University, Kanagawa, Japan.
Yumi SakamotoLaboratory of Veterinary Hepatology & Gastroenterology, College of Bioresource Sciences, Nihon University, Kanagawa, Japan.
Rintaro KoshidaLaboratory of Veterinary Hepatology & Gastroenterology, College of Bioresource Sciences, Nihon University, Kanagawa, Japan.
Hitoshi ShiozawaLaboratory of Veterinary Hepatology & Gastroenterology, College of Bioresource Sciences, Nihon University, Kanagawa, Japan.
Mizuho ShimaLaboratory of Veterinary Hepatology & Gastroenterology, College of Bioresource Sciences, Nihon University, Kanagawa, Japan.
Yumiko KagawaNorth Lab, Hokkaido, Japan.
Manabu SakaiLaboratory of Veterinary Hepatology & Gastroenterology, College of Bioresource Sciences, Nihon University, Kanagawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatic copper accumulation is assessed qualitatively via histopathology, and hepatic copper concentration is measured quantitatively. Laparoscopic biopsy provides samples adequate for histopathology; however, its suitability for copper quantification in cats remains unclear. Liver tissue samples from 19 cats undergoing laparoscopic liver biopsy were evaluated for hepatic copper score and concentration. Copper scores were determined by a board-certified pathologist using rhodanine-stained sections. Hepatic copper concentrations were determined using atomic absorption spectrometry, and the rhodanine-positive pixel ratio was calculated from histological images using ImageJ. Copper-associated hepatopathy was identified in three cats: two with a score of 4 and one with a score of 5. Seven cats demonstrated cholangiohepatitis (scores 0-3). The hepatic copper score was significantly correlated with copper concentration in the 19 cats (Spearman's r=0.757, P<0.001). Rhodanine-positive pixel ratio also correlated with copper concentration (Spearman's r=0.668, P<0.01). Therefore, laparoscopic biopsy provides feline liver tissue feasible for qualitative and quantitative copper analysis. The liver rhodanine-positive pixel ratio offers a useful quantitative alternative when hepatic copper concentration cannot be measured in cats.

Indexed as

Cat DiseasesCopperLiverLiver DiseasesAnimalsBiopsyCatsFemaleLaparoscopyMaleCoppercholangitis/cholangiohepatitiscopper accumulationfelinehepatopathyrhodanine

Identifiers

PMID42420001
PMCPMC13612977

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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.