Evidence map›Paper›PMID 32092869›Full record

ArticleVeterinary sciences2020

A Canine Gait Analysis Protocol for Back Movement Assessment in German Shepherd Dogs.

Elif Surer, Andrea Cereatti, Maria Antonietta Evangelisti, Gabriele Paolini, Ugo Della Croce, Maria Lucia Manunta

Abstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Elif SurerDepartment of Modeling and Simulation, Graduate School of Informatics, Middle East Technical University, 06800 Ankara, Turkey.ORCID 0000-0002-0738-6669
Andrea CereattiDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.
Maria Antonietta EvangelistiVeterinary Department, University of Sassari, 07100 Sassari, Italy.
Gabriele PaoliniDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.
Ugo Della CroceDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.
Maria Lucia ManuntaVeterinary Department, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0003-2829-8657

Funding

Regione Sardegna (RAS) 2008 - Progetto di ricerca di base Legge regionale : J7lJ10000690002
6 · The paper itself

Abstract

Objective-To design and test a motion analysis protocol for the gait analysis of adult German Shepherd (GS) dogs with a focus in the analyses of their back movements. Animals-Eight clinically healthy adult large-sized GS dogs (age, 4 ± 1.3 years; weight, 38.8 ± 4.2 kg). Procedures-A six-camera stereo-photogrammetric system and two force platforms were used for data acquisition. Experimental acquisition sessions consisted of static and gait trials. During gait trials, each dog walked along a 6 m long walkway at self-selected speed and a total of six gait cycles were recorded. Results-Grand mean and standard deviation of ground reaction forces of fore and hind limbs are reported. Spatial-temporal parameters averaged over gait cycles and subjects, their mean, standard deviation and coefficient of variance are analyzed. Joint kinematics for the hip, stifle and tarsal joints and their average range of motion (ROM) values, and their 95% Confidence Interval (CI) values of kinematics curves are reported. Conclusions and Clinical Relevance-This study provides normative data of healthy GS dogs to form a preliminary basis in the analysis of the spatial-temporal parameters, kinematics and kinetics during quadrupedal stance posture and gait. Also, a new back movement protocol enabling a multi-segment back model is provided. Results show that the proposed gait analysis protocol may become a useful and objective tool for the evaluation of canine treatment with special focus on the back movement.

Indexed as

back movementgait analysisgerman shepherd dogskinematicskineticsnormative data

Identifiers

PMID32092869
PMCPMC7158696

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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.