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First Aid Clinical Pattern Recognition for the USMLE Step 1

Language EnglishEnglish
E-book Adobe ePub
E-book First Aid Clinical Pattern Recognition for the USMLE Step 1 Asra R. Khan
Libristo code: 39986058
Publishers McGraw Hill / Medical, October 2021
This groundbreaking new guide helps you logically associate and link symptoms to likely diagnoses/co... Full description
? points 142 b
57.47
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This groundbreaking new guide helps you logically associate and link symptoms to likely diagnoses/conditions-a critical skill for passing the USMLE Step 1Despite the recent changes to the USMLE Step 1, it remains a very important exam for medical students. In order to navigate the vignette-based questions, students must be able to determine a diagnosis based on the vignette, then understand the science behind the diagnosis-a process called pattern recognition. This innovative guide will help you master pattern recognition-a crucial skill to develop in order to thrive throughout the medical school curriculum.Organized by symptom to reflect exactly what you'll see on test day, First Aid Clinical Pattern Recognition for the USMLE Step 1 provides overviews for more than 50 symptoms, discussing differential diagnosis and the principles that should inform your thinking about each symptom. Overviews are followed by Step 1-style vignettes for every potential diagnosis that may be included in the Step 1 exam. Then, each vignette is followed by the diagnosis-and competing diagnoses-along with explanations of why the patterns fit for the correct diagnosis.Guiding principles provide important information (such as which diagnoses are common, which are rare, which are acute, which are chronic, etc.) to enhance the way you think about each symptom. Each vignette contains classic history/physical exam and lab/test findings that would be observed in a typical presentation of the disease.

About the book

Full name First Aid Clinical Pattern Recognition for the USMLE Step 1
Language English
Binding E-book - Adobe ePub
Date of issue 2021
Number of pages 496
EAN 9781260463798
Libristo code 39986058
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