Evidence map›Paper›PMID 40011993›Full record

ArticleBMC veterinary research2025

Usefulness of neurological assessment scales in prognosis of meningoencephalitis of unknown origin in Yorkshire Terriers.

Laura Brewińska, Aleksandra Banasik, Michał Czopowicz, Marta Płonek, Elżbieta Giza, Adriana Czerwik, Agnieszka Olszewska, Thomas Flegel, Marcin Wrzosek

Erratum issuedAbstract readMulticenter Study
In one paragraph

Article in BMC veterinary research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Laura BrewińskaDepartment of Internal Diseases With a Clinic for Horses, Dogs, and Cats, Faculty of Veterinary Medicine, Wrocław University of Environmental and Life Sciences, Wrocław, Poland. laura.brwsk@gmail.com.
Aleksandra BanasikDepartment of Internal Diseases With a Clinic for Horses, Dogs, and Cats, Faculty of Veterinary Medicine, Wrocław University of Environmental and Life Sciences, Wrocław, Poland.
Michał CzopowiczDivision of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159C, Warsaw, 02-776, Poland.
Marta PłonekNeurology, IVC Evidensia Small Animal Referral Hospital Arnhem, Arnhem, Netherlands.
Elżbieta GizaDepartment of Internal Diseases With a Clinic for Horses, Dogs, and Cats, Faculty of Veterinary Medicine, Wrocław University of Environmental and Life Sciences, Wrocław, Poland.
Adriana CzerwikDepartment of Veterinary Clinical Sciences, Small Animal Clinic, Neurosurgery, Neuroradiology and Clinical Neurology, Justus-Liebig-University, Giessen, Germany.
Agnieszka OlszewskaDepartment of Veterinary Clinical Sciences, Small Animal Clinic, Neurosurgery, Neuroradiology and Clinical Neurology, Justus-Liebig-University, Giessen, Germany.
Thomas FlegelDepartment of Small Animal Medicine, Leipzig University, Leipzig, Germany.
Marcin WrzosekDepartment of Internal Diseases With a Clinic for Horses, Dogs, and Cats, Faculty of Veterinary Medicine, Wrocław University of Environmental and Life Sciences, Wrocław, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAttempts to determine the prognostic factors that affect the survival time of canine patients with meningoencephalitis of unknown origin (MUO) have produced highly variable results. Scaled complex ratings to predict general outcomes are required. Scaled rating was recently proven to help predicting prognosis in general MUO population of dogs. However, Yorkshire Terriers (YST) are predisposed to necrotizing meningoencephalitis, especially necrotizing leukoencephalitis, which more frequently manifests itself with forebrain lesions and may exhibit a distinct disease course compared to granulomatous meningoencephalitis. This study aimed to determine the usefulness of neurological assessment scales in the prognosis of YST with MUO. The study population comprised 127 YST which met inclusion criteria for a highly probable diagnosis of MUO. This multicentre, cohort study was designed as a retrospective review of medical records. Based on documented neurological examinations, animals were scored on three scales: the Modified Glasgow Coma Scale, Neuro Disability Scale 1 (Smith et al.), and Neuro Disability Scale 2 (Gonçalves et al.). The association between the scores and survival time was investigated over three periods of time - 7 days, 100, and 365 days (1 year) after onset of clinical signs.

resultsAll scales were significantly associated (p < 0.001) with MUO-specific survival and death of MUO within the first 7 days and had high prognostic accuracy in terms of short-term prognosis. None of the scales was significantly associated with the probability of survival after 100 or 365 days. Dogs with unilateral lesions on magnetic resonance images (MRI) had approximately 12- and threefold higher odds of surviving up to 100 and 365 days, respectively, than dogs with bilateral lesions on MRI. Dogs heavier than 3.2 kg at presentation had approximately sixfold higher odds of survival up to day 365.

conclusionsThe study provides strong evidence for a high short-term prognostic accuracy of the three neurological assessment scales in YST with MUO - the scales seem to be very useful in predicting death within the first week of the onset of MUO. However, the scales do not appear to have prognostic value in the longer time frame. However, the presence of unilateral MRI changes and dog's body weight may assist with medium- and long-term prognosis.

Indexed as

Dog DiseasesMeningoencephalitisNeurologic ExaminationAnimalsCohort StudiesDogsFemaleMalePrognosisRetrospective StudiesBrain inflammatory diseasesCanineModified Glasgow coma scaleMUONeurodisability scale

Identifiers

PMID40011993
PMCPMC11863485

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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.