Evidence map›Paper›PMID 38026652›Full record

ArticleFrontiers in veterinary science2023

A comparison between neurological clinical signs, cerebrospinal fluid analysis, cross-sectional CNS imaging, and infectious disease testing in 168 dogs with infectious or immune-mediated meningoencephalomyelitis from Brazil.

Fernando Swiech Bach, Carolyn Cray, Ana Paula Burgos, José Ademar Villanova Junior, Fabiano Montiani-Ferreira

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2023. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
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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.

Fernando Swiech BachNeurology Service, Clinivet Veterinary Hospital, Curitiba, Brazil.
Carolyn CrayDivision of Comparative Pathology, Department of Pathology and Laboratory Medicine, University of Miami Miller School of Medicine, Miami, FL, United States.
Ana Paula BurgosSmall Animal Surgery Service, Catholic University of Paraná, Curitiba, Brazil.
José Ademar Villanova JuniorSmall Animal Surgery Service, Catholic University of Paraná, Curitiba, Brazil.
Fabiano Montiani-FerreiraDivision of Comparative Pathology, Department of Pathology and Laboratory Medicine, University of Miami Miller School of Medicine, Miami, FL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This retrospective study evaluated canine patients with presumptively diagnosed meningoencephalomyelitis (ME) based on neurological clinical signs, cerebrospinal fluid (CSF) analysis, cross-sectional imaging, and infectious disease testing with a limited neurological-focused polymerase chain reaction (PCR) panel performed on blood and CSF. The first goal was to determine the proportion of dogs where the condition was caused by an infectious agent versus a probable immune-mediated etiology (i.e., meningoencephalomyelitis of unknown origin; MUO) in our geographic region. The secondary goals of this study were to examine and define associations between abnormal CSF test results and cross-sectional neuroimaging findings, in addition to defining the age and most common neurological clinical signs in each group of ME. A total of 168 dogs matched the inclusion criteria with magnetic resonance imaging (MRI) performed in 130 dogs and computed tomography (CT) performed in 38 dogs. Presumptive MUO was observed in 152/168 (90.5%) of dogs and infectious ME was identified in 16/168 (9.5%) of dogs (

Indexed as

autoimmunecerebral spinal fluiddogsinfectionmeningoencephalitismeningoencephalomyelitisneurological panel

Identifiers

PMID38026652
PMCPMC10630916

What OpenQuestion holds

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Registered trials

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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.