Evidence map›Paper›PMID 41810410›Full record

ArticleFrontiers in veterinary science2026

Endothelial glycocalyx thickness in cats with naturally occurring trauma or non-traumatic illness: an exploratory study.

Ivayla D Yozova, Neroli Thomson, Mitsuhiro Irie, Rebecca Owen, John S Munday

Abstract read
In one paragraph

Article in Frontiers in veterinary 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.

0numbers the graph read from it
0cells of the map it votes in
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

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

5 authors.

Ivayla D YozovaSchool of Veterinary Science, Massey University, Palmerston North, New Zealand.
Neroli ThomsonSchool of Veterinary Science, Massey University, Palmerston North, New Zealand.
Mitsuhiro IrieShikoku Veterinary Medical Center, Miki, Japan.
Rebecca OwenSchool of Veterinary Science, Massey University, Palmerston North, New Zealand.
John S MundaySchool of Veterinary Science, Massey University, Palmerston North, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Endothelial glycocalyx damage contributes to morbidity and mortality in critical illness. In this exploratory study in cats with trauma and non-traumatic illness, the endothelial glycocalyx thickness was estimated using sidestream dark field videomicroscopy and the Glycocheck™ software, with the primary aims of assessing feasibility, describing of Glycocheck™ microcirculatory parameters and exploring potential effects of illness severity and IV fluid administration. Methods: This was a prospective, single center, observational study. Recorded variables included age, weight, diagnosis, length of hospitalization (LOH), packed cell volume (PCV) and IV fluid administration. Each patient was assigned a fast Acute Patient Physiologic and Laboratory Evaluation score (APPLE Results: Nineteen cats were included, 11 with trauma. Success rate for measurements was 95%. Survival to discharge was 95%. Mean ± standard deviation for PBR 5-25 was 2.60 ± 0.22 μm, PBR 5-9: 1.38 ± 0.15 μm, PBR 10-19: 3.02 ± 0.22 μm and PBR 20-25: 3.03 ± 0.38 μm, within previously established tolerance intervals. There were no statistically significant effects of group, LOH, ATT, APPLE Conclusion: This exploratory study demonstrates the feasibility of assessing endothelial glycocalyx thickness in hospitalized sick cats. While no effects of clinical variables on PBR were identified, the study highlights important methodological considerations and provides valuable insights to guide future, larger-scale investigations.

Indexed as

APPLEfastATTcapillariesfelineGlycoCheckTMlength of hospitalisationmicrocirculationperfused boundary region

Identifiers

PMID41810410
PMCPMC12967996

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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.