Evidence map›Paper›PMID 41613771›Full record

ArticleFrontiers in veterinary science2025

Objective evaluation of gait abnormalities in dogs with a thoracolumbar myelopathy using a pressure-sensing walkway.

Léonie Straß, Sebastian Meller, Friederike Twele, Holger A Volk

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Léonie StraßDepartment of Small Animal Medicine and Surgery, University of Veterinary Medicine Hannover, Hannover, Germany.
Sebastian MellerDepartment of Small Animal Medicine and Surgery, University of Veterinary Medicine Hannover, Hannover, Germany.
Friederike TweleDepartment of Small Animal Medicine and Surgery, University of Veterinary Medicine Hannover, Hannover, Germany.
Holger A VolkDepartment of Small Animal Medicine and Surgery, University of Veterinary Medicine Hannover, Hannover, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective gait assessment remains essential for evaluating ambulatory function in dogs with spinal cord injury, as subjective scales depend on training and examiner experience, limiting their sensitivity to subtle changes. A rapid, standardised, and objective method is therefore needed to assess gait abnormalities and to monitor recovery over time. This study evaluates the use of a pressure-sensing walkway to objectively quantify gait characteristics in dogs with thoracolumbar myelopathy compared to healthy controls. By analysing spatio-temporal and kinetic parameters, key differences relevant to clinical monitoring were identified. Significant differences in standard deviation values were observed between controls and dogs affected by thoracolumbar myelopathy for step/stride ratio, stance phase and swing phase. Furthermore, the coefficient of variation (CV) also differed significantly between groups for step/stride ratio, stance and swing phase. CV, a marker for ataxia, was increased not only in the pelvic but also in the thoracic limbs. Lateral skewness, thoracic limb force distribution, and pelvic limb symmetry index also differed significantly between groups, with neurologically affected dogs exhibiting higher values across all parameters. In addition, a negative correlation between the Texas Spinal Cord Injury Score and the CV was identified, indicating that the CV may contribute to an objective quantification of impairment. These findings support the use of pressure-sensing walkways as a feasible and informative modality for the standardised assessment of canine patients with thoracolumbar myelopathy.

Indexed as

ataxiadoggait analysispressure-sensing walkwayspinal cord injury

Identifiers

PMID41613771
PMCPMC12849788

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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.