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Symptom To Diagnosis- An Evidence-Based Guide, 2E [PDF] [StormRG]
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Author: Scott Stern, Adam Cifu, Diane Altkorn Series: LANGE Clinical Medicine Paperback: 504 pages Publisher: McGraw-Hill Medical; 2 edition (September 16, 2009) Language: English ISBN-10: 0071496130 ISBN-13: 978-0071496131 Format: Retail PDF Reader Required: Adobe Reader, Foxit, Nitro, Adobe Digital Editions
Note: This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book.
Tested on the above readers with no problems on laptop and Android tablet.
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Cover from actual book file
An engaging case-based approach to learning the diagnostic process in internal medicine
"All clinicians caring for patients, from medical students to residents and attending physicians, are the intended audience. The book is well written for all levels, and the authors are well-respected educators and experts in the field. 3 Stars."--Doody's Review Service
Symptom to Diagnosis teaches you an evidence-based, step-by-step process for evaluating, diagnosing, and treating patients based on their clinical complaints. By applying this process you will be able to recognize specific diseases and prescribe the most effective therapy.
Each chapter is built around a common patient complaint that illustrates essential concepts and provides insight into the process by which the differential diagnosis is identified.
Coverage for each disease includes:
• Textbook Presentation: offers a concise statement of the common or classic presentation of the particular disease
• Disease Highlights: covers the most pertinent epidemiologic and pathophysiologic information for the disease
• Evidence-Based Diagnosis: reviews the accuracy of the history, physical exam, laboratory and radiologic tests for the disease. In this unique section, the author points out the findings that help you “rule in” or “rule out” the various diseases.
• Treatment: details the basics of therapy for the disease discussed
Filled with algorithms, summary tables, and questions that direct evaluation, Symptom to Diagnosis is a true must read before your first clinical encounter.