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Samantha Taylor

Researcher at University of Bristol

Publications -  19
Citations -  495

Samantha Taylor is an academic researcher from University of Bristol. The author has contributed to research in topics: Medicine & CATS. The author has an hindex of 8, co-authored 11 publications receiving 348 citations.

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Feline extranodal lymphoma: response to chemotherapy and survival in 110 cats

TL;DR: Cats with extranodal lymphoma respond to chemotherapy and achieve survival times comparable to other locations, and Corticosteroid pretreatment reduced survival time in cats achieving complete remission.
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ISFM Consensus Guidelines on the Diagnosis and Management of Hypertension in Cats.

TL;DR: These Guidelines from the International Society of Feline Medicine are based on a comprehensive review of the currently available literature, and are aimed at providing practical recommendations to address the challenges of feline hypertension for veterinarians.
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ISFM Consensus Guidelines on the Practical Management of Diabetes Mellitus in Cats

TL;DR: These ISFM Guidelines represent a consensus view on practical management of cats with DM based on available clinical data and experience, however, in many areas, substantial data is lacking and there is a need for better studies in the future to help inform and refine recommendations for the clinical management of this common disease.
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Comparison of Histopathologic Findings in Biopsies from the Duodenum and Ileum of Dogs with Enteropathy

TL;DR: Routine collection of ileal plus duodenal samples appears warranted when concurrent small and large intestinal diarrhea is present, and there was poor agreement between histopathological findings from duODenal versus ILEal biopsies with abnormalities sometimes being more readily detected in the ileum.
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Serum protein electrophoresis in 155 cats.

TL;DR: All serum protein electrophoresis (SPE) results obtained between 2002 and 2009 from clinical cases presented to the University of Bristol Feline Centre were examined retrospectively and cases were categorised according to the final diagnosis using the DAMNITV classification system.