Evidence map›Paper›PMID 32454964›Full record

ReviewVeterinary medicine international2020

Evidences on Molecules Most Frequently Included in Canine and Feline Complementary Feed to Support Liver Function.

Andrea Marchegiani, Alessandro Fruganti, Alessandra Gavazza, Sara Mangiaterra, Alessia Candellone, Eleonora Fusi, Giacomo Rossi, Matteo Cerquetella

Open access · goldAbstract readReview
In one paragraph

Review in Veterinary medicine international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Supplementation withAnimals : an open access journal from MDPI · 2024
    Article
  3. Review
  4. Article
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

8 authors at 3 institutions in 1 country.

Andrea MarchegianiSchool of Biosciences and Veterinary Medicine, University of Camerino, Via Circonvallazione 93/95-62024, Matelica (MC), Italy.
Alessandro FrugantiSchool of Biosciences and Veterinary Medicine, University of Camerino, Via Circonvallazione 93/95-62024, Matelica (MC), Italy.
Alessandra GavazzaSchool of Biosciences and Veterinary Medicine, University of Camerino, Via Circonvallazione 93/95-62024, Matelica (MC), Italy.
Sara MangiaterraSchool of Biosciences and Veterinary Medicine, University of Camerino, Via Circonvallazione 93/95-62024, Matelica (MC), Italy.
Alessia CandelloneDepartment of Veterinary Science, University of Turin, Largo Braccini 2-10095, Grugliasco (TO), Italy.
Eleonora FusiDepartment of Veterinary Medicine, University of Milan, Via dell'Università 6-26900, Lodi (LO), Italy.
Giacomo RossiSchool of Biosciences and Veterinary Medicine, University of Camerino, Via Circonvallazione 93/95-62024, Matelica (MC), Italy.
Matteo CerquetellaSchool of Biosciences and Veterinary Medicine, University of Camerino, Via Circonvallazione 93/95-62024, Matelica (MC), Italy.ORCID https://orcid.org/0000-0001-9471-0756
Università di Camerino · ITUniversity of Milan · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous complementary feeds to support liver function are commercially available for small animals. Aiming to furnish a scientific support for clinicians/nutritionists that necessitate a complementary feed to support liver function in dogs and cats, with the present paper, we analyzed scientific evidences supporting the use, for this purpose, of ingredients/additives such as artichoke (

Identifiers

PMID32454964
PMCPMC7232710
OpenAlexW3021459682

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.