Literature DB >> 10218241

Physical examination of horses with back pain.

B B Martin1, A M Klide.   

Abstract

The diagnosis of back pain is often a diagnosis of exclusion of other problems in the face of poor performance. It requires careful observation, thought, an open mind, and experience. The signs of back pain can be extremely variable and range from subtle to obvious. Obvious forelimb or hind limb lameness is not usually a sign of back pain. The most common differential diagnosis may be back pain secondary to degenerative joint disease of the hocks, fetlocks, or stifle. These diseases can mimic signs of back pain including lack of impulsion, shortening of the stride length, and change in the stride character similar to those seen with back pair.

Entities:  

Mesh:

Year:  1999        PMID: 10218241     DOI: 10.1016/s0749-0739(17)30163-3

Source DB:  PubMed          Journal:  Vet Clin North Am Equine Pract        ISSN: 0749-0739            Impact factor:   1.792


  11 in total

1.  Testing optimal methods to compare horse postures using geometric morphometrics.

Authors:  Emilie Sénèque; Stéphane Morisset; Clémence Lesimple; Martine Hausberger
Journal:  PLoS One       Date:  2018-10-31       Impact factor: 3.240

2.  Towards a postural indicator of back pain in horses (Equus caballus).

Authors:  Clémence Lesimple; Carole Fureix; Emmanuel De Margerie; Emilie Sénèque; Hervé Menguy; Martine Hausberger
Journal:  PLoS One       Date:  2012-09-07       Impact factor: 3.240

3.  Two Multicenter Surveys on Equine Back-Pain 10 Years a Part.

Authors:  Barbara Riccio; Claudia Fraschetto; Justine Villanueva; Federica Cantatore; Andrea Bertuglia
Journal:  Front Vet Sci       Date:  2018-08-23

4.  Could posture reflect welfare state? A study using geometric morphometrics in riding school horses.

Authors:  Emilie Sénèque; Clémence Lesimple; Stéphane Morisset; Martine Hausberger
Journal:  PLoS One       Date:  2019-02-05       Impact factor: 3.240

5.  Evaluation of thermal pattern distributions in racehorse saddles using infrared thermography.

Authors:  Maria Soroko; Daniel Zaborski; Krzysztof Dudek; Kelly Yarnell; Wanda Górniak; Ricardo Vardasca
Journal:  PLoS One       Date:  2019-08-26       Impact factor: 3.240

6.  Clinical assessment and grading of back pain in horses.

Authors:  Abubakar Musa Mayaki; Intan Shameha Abdul Razak; Noraniza Mohd Adzahan; Mazlina Mazlan; Abdullah Rasedee
Journal:  J Vet Sci       Date:  2020-11       Impact factor: 1.672

7.  A novel approach to thermographic images analysis of equine thoracolumbar region: the effect of effort and rider's body weight on structural image complexity.

Authors:  Malgorzata Masko; Marta Borowska; Malgorzata Domino; Tomasz Jasinski; Lukasz Zdrojkowski; Zdzislaw Gajewski
Journal:  BMC Vet Res       Date:  2021-03-02       Impact factor: 2.741

8.  Comparison of Donkey, Pony, and Horse Dorsal Profiles and Head Shapes Using Geometric Morphometrics.

Authors:  Małgorzata Maśko; Małgorzata Wierzbicka; Łukasz Zdrojkowski; Tomasz Jasiński; Urszula Sikorska; Bartosz Pawliński; Małgorzata Domino
Journal:  Animals (Basel)       Date:  2022-04-05       Impact factor: 2.752

9.  Selection of Image Texture Analysis and Color Model in the Advanced Image Processing of Thermal Images of Horses following Exercise.

Authors:  Małgorzata Domino; Marta Borowska; Natalia Kozłowska; Anna Trojakowska; Łukasz Zdrojkowski; Tomasz Jasiński; Graham Smyth; Małgorzata Maśko
Journal:  Animals (Basel)       Date:  2022-02-12       Impact factor: 2.752

10.  The Effect of Rider:Horse Bodyweight Ratio on the Superficial Body Temperature of Horse's Thoracolumbar Region Evaluated by Advanced Thermal Image Processing.

Authors:  Małgorzata Domino; Marta Borowska; Anna Trojakowska; Natalia Kozłowska; Łukasz Zdrojkowski; Tomasz Jasiński; Graham Smyth; Małgorzata Maśko
Journal:  Animals (Basel)       Date:  2022-01-13       Impact factor: 2.752

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