Evidence map›Paper›PMID 37627366›Full record

ArticleAnimals : an open access journal from MDPI2023

Predictive Value of Acute Phase Proteins for the Short-Term Outcome of Meningoencephalitis of Unknown Origin in Dogs.

Aurora Cocchetto, Andrea Zoia, Rita Aragão, Laura Ventura, Marika Menchetti

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Aurora CocchettoDivision of Neurology and Neurosurgery, San Marco Veterinary Clinic, Viale dell'Industria 3, 35030 Veggiano, Italy.ORCID 0000-0002-8589-2436
Andrea ZoiaDivision of Internal Medicine, San Marco Veterinary Clinic, Viale dell'Industria 3, 35030 Veggiano, Italy.ORCID 0000-0003-3592-0360
Rita AragãoDivision of Neurology and Neurosurgery, San Marco Veterinary Clinic, Viale dell'Industria 3, 35030 Veggiano, Italy.
Laura VenturaDepartment of Statistical Sciences, University of Padova, Via Cesare Battisti 241, 35121 Padova, Italy.ORCID 0000-0001-7322-998X
Marika MenchettiDivision of Neurology and Neurosurgery, San Marco Veterinary Clinic, Viale dell'Industria 3, 35030 Veggiano, Italy.ORCID 0000-0002-7213-1005

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meningoencephalitis of unknown origin (MUO) is one of the most common inflammatory diseases of the central nervous system (CNS). The study evaluates the possible increase and the potential role of acute phase proteins (APPs) and other inflammatory serum parameters as biomarkers predicting the short-term outcome of dogs with meningoencephalitis of unknown origin (MUO). A retrospective cohort study was designed. The APP profile and other markers of systemic inflammation of forty-eight client-owned dogs with a new diagnosis of MUO were compared between 7-day survival and non-survival dogs diagnosed with MUO. Thirty-nine (81%) dogs were alive at the end of the 7-day follow-up period, while 9 (19%) dogs died or were euthanized because of MUO. None of the 11 markers of inflammation studied were different between the survived and non-survived dogs; for this reason, none of them could be used as a predictor of the short-term outcome based on the results of the present study. This confirms that even though MUO is often associated with a severe inflammatory status of the central nervous system (CNS), this condition is probably isolated exclusively to the CNS.

Indexed as

biomarkersCanis lupus familiariscentral nervous systemdogsinflammationinflammatory brain disease

Identifiers

PMID37627366
PMCPMC10451645

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.