Small Animal Medical Differential Diagnosis: A Book of Lists

**Selected for Doody's Core Titles(R) 2024 in Veterinary Medicine**

Pocket-sized and concise, Small Animal Medical Differential Diagnosis: A Book of Lists, 4th Edition, is the essential reference to facilitate rapid diagnosis of medical problems in dogs and cats. This portable, manageable guide covers the differential diagnosis, etiology, clinical signs, and relevant laboratory abnormalities of the most common conditions you will encounter in small animal practice. Historical, clinical, and laboratory findings for many of these diseases are also included in a separate section. Small Animal Medical Differential Diagnosis facilitates reliable point-of-care decisions, providing instant access to the critical data you need to make accurate diagnoses and enabling effective, focused treatment planning. With new lists and an eBook included with print purchase, this is the reference no small animal practice should be without!

• More than 400 lists bring the most important medical diagnostic information from multiple resources into a single quick reference.
• Easy identification of the likeliest diagnosis is attributed by the possibilities being listed in order of incidence.
• Intuitive organization presents differential diagnosis by sign, symptom, and disorder to facilitate quick access to information.
• Alphabetical listing of all relevant laboratory tests makes information easy to find.
• Pocket size makes this guide portable, practical, and simple to use.

• NEW! Updated coverage of FAST ultrasound examinations reflects rapidly changing terminology in the modality.
• NEW! Fully updated existing lists capture the latest advances in veterinary research and practice.
• NEW! An eBook version is included with print purchase, providing access to all text, figures, and references, with the ability to search, customize content, make notes and highlights, and have content read aloud.
• NEW! More than 20 new lists broaden the coverage of small animal medical problems.