Evidence map›Paper›PMID 39195817›Full record

ArticleVeterinary sciences2024

Effects of Synbiotic Administration on Gut Microbiome and Fecal Bile Acids in Dogs with Chronic Hepatobiliary Disease: A Randomized Case-Control Study.

Verena Habermaass, Corrado Biolatti, Francesco Bartoli, Eleonora Gori, Natascia Bruni, Daniela Olivero, Veronica Marchetti

Abstract read
In one paragraph

Article in Veterinary sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Understanding the diversity and roles of the canine gut microbiome.Journal of animal science and biotechnology · 2025
    Review
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.

Verena HabermaassDepartment of Veterinary Sciences, University of Pisa, Via Livornese Lato Monte, 56122 Pisa, Italy.ORCID 0000-0003-0340-0192
Corrado BiolattiDepartment of Microbiology, Charles River Laboratories, F26D789 Ballina, Ireland.
Francesco BartoliDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Savi 10, 56126 Pisa, Italy.ORCID 0000-0002-2702-3259
Eleonora GoriDepartment of Veterinary Sciences, University of Pisa, Via Livornese Lato Monte, 56122 Pisa, Italy.ORCID 0000-0001-8612-5573
Natascia BruniCandioli Pharma, Via Manzoni 2, 10092 Beinasco, Italy.ORCID 0000-0003-4062-8006
Daniela OliveroAnalysis Lab. BSA Scilvet, Via A. D'Aosta 7, 20129 Milan, Italy.
Veronica MarchettiDepartment of Veterinary Sciences, University of Pisa, Via Livornese Lato Monte, 56122 Pisa, Italy.ORCID 0000-0001-6099-6223

Funding

Candioli Pharma Florentero Project
6 · The paper itself

Abstract

Alteration in the gut microbiome in human patients with chronic liver disease is a well-known pathophysiological mechanism. Therefore, it represents both a diagnostic and therapeutical target. Intestinal dysbiosis has also been identified in dogs with chronic liver disease, but clinical trials evaluating the effectiveness of synbiotic administration are lacking. Thirty-two dogs with chronic hepatobiliary disease were equally randomized into two groups: one treated with a synbiotic complex for 4-6 weeks (TG) and one untreated control group (CG). All dogs underwent clinical evaluation, complete anamnesis, bloodwork, abdominal ultrasound, fecal bile acids, and gut microbiome evaluation at T0-T1 (after 4-6 weeks). Treated dogs showed a significant reduction in ALT activity (

Indexed as

canine liver diseasecholestasischronic liver diseasedysbiosisgastrointestinal signsmicrobiotaprobiotics

Identifiers

PMID39195817
PMCPMC11360150

What OpenQuestion holds

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Registered trials

None linked

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.