Evidence map›Paper›PMID 32492828›Full record

ArticleVeterinary sciences2020

Evaluation of Symmetric Dimethylarginine (SDMA) in Dogs with Acute Pancreatitis.

Eleonora Gori, Alessio Pierini, Ilaria Lippi, Valentina Meucci, Francesca Perondi, Veronica Marchetti

Open access · goldAbstract read
In one paragraph

Article in Veterinary sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Advances in the diagnosis of acute pancreatitis in dogs.Journal of veterinary internal medicine · 2021
    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

6 authors at 1 institution in 1 country.

Eleonora GoriDepartment of Veterinary Sciences, University of Pisa, Via Livornese Lato Monte, 56121 Pisa, Italy.ORCID 0000-0001-8612-5573
Alessio PieriniDepartment of Veterinary Sciences, University of Pisa, Via Livornese Lato Monte, 56121 Pisa, Italy.ORCID 0000-0002-9336-5150
Ilaria LippiDepartment of Veterinary Sciences, University of Pisa, Via Livornese Lato Monte, 56121 Pisa, Italy.
Valentina MeucciDepartment of Veterinary Sciences, University of Pisa, Via Livornese Lato Monte, 56121 Pisa, Italy.ORCID 0000-0001-5672-7856
Francesca PerondiDepartment of Veterinary Sciences, University of Pisa, Via Livornese Lato Monte, 56121 Pisa, Italy.
Veronica MarchettiDepartment of Veterinary Sciences, University of Pisa, Via Livornese Lato Monte, 56121 Pisa, Italy.
University of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Symmetric dimethylarginine (SDMA) is considered an important biomarker of kidney dysfunction. The aims of the study were to evaluate SDMA in dogs with acute pancreatitis (AP) and its relationship with the presence of kidney injury and mortality. A cohort study including fifty-four dogs with AP diagnosed using compatible clinical and laboratory parameters, abnormal SNAP cPL and compatible abdominal ultrasound within 48 h from admission, was conducted. Dogs with history of renal and/or urinary diseases were excluded, along with dogs exposed to nephrotoxic drugs. Serum urea and creatinine and urinary output (UO) were recorded. Acute kidney injury (AKI) was diagnosed and graded using International Renal Interest Society (IRIS) guidelines. SDMA was measured using high performance liquid chromatography. Fifty-four dogs were included and divided in non-AKI (

Indexed as

canineinflammationkidney injurypancreas

Identifiers

PMID32492828
PMCPMC7356378
OpenAlexW3032639348

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.