
Evidence-Based Medicine and Diagnostic Decision-Making Made Easy
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Symptom to Diagnosis is designed to help medical students and residents master the art of internal medicine through a structured, case-based approach. This powerful resource emphasizes the diagnostic process, guiding users from patient symptoms to accurate diagnosis using evidence-based methods.
DESCRIPTION
“This book is a tremendous asset for students and residents learning to develop their diagnostic skills. It can also be useful as a refresher for established clinicians when the more common diagnoses are not the cause of a patient's complaints.” — Doody's Review
Each chapter centers around a real-world patient complaint, walking you through the essential steps of clinical reasoning. The unique format begins with a presenting symptom, explores the differential diagnosis (DDx), and guides you toward the correct diagnosis using key clinical clues and diagnostic tests.
The content is organized into easy-to-follow sections that include:
- Clinical Presentation: Textbook signs and symptoms of each disease
- Disease Highlights: Core facts you must know
- Evidence-Based Diagnosis: Latest research supporting diagnostic choices
- Treatment: Best-practice therapeutic approaches
Chapters feature detailed tables summarizing differential diagnoses, highlighting leading hypotheses, alternative explanations, and the most relevant diagnostic tests. Cases unfold progressively, mirroring real-life clinical decision-making, reinforcing how to interpret test results and refine your diagnostic thinking.
The fourth edition has been fully updated with new algorithms, expanded coverage of emerging diagnostic tools, and revised guidelines across key areas including:
- Chest Pain
- Syncope
- Dizziness
- Diarrhea
- Jaundice
- Cough and Fever
- Screening Guidelines
- Diabetes
- Hypertension
Clinical pearls are integrated throughout to reinforce learning and retention. Ideal for both exam preparation and clinical practice, this resource builds confidence in diagnosing complex cases where standard answers don't apply.
Content licensed from printed edition ISBN 10: 1260121119 | ISBN 13: 978-1260121117
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Author(s): Scott D. C. Stern, Adam S. Cifu, Diane Altkorn
Publisher: The McGraw-Hill Companies, Inc.