Clinical Data Interpretation for Medical Finals Single Best Answer Questions
Coordonnateurs : Pastides Philip, Jayia Parveen
Featuring over 200 questions on key topics in medicine, each question is set around an image or investigation, such as an X-ray, CT scan, or blood film, and tests identification and interpretation of the data provided. Thorough explanation of the correct and incorrect answers helps you learn from mistakes. The questions reflect current exam question style and incorporate high quality images, many of which are annotated, and are presented in full colour throughout.
Data Interpretation for Medical Finals will help build the confidence of all medical students, and Foundation Doctors, as it encourages application of investigation results to clinical decision making.
Contributors vii
Foreword ix
Preface x
Acknowledgements xii
Reference Values xiii
1. Cardiac Medicine 1
Sandeep Basavarajaiah
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Answers
2. Respiratory Medicine 36
Saleem I.M. Khoyratty and Santino J. Capocci
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3. Haematology 63
Philip S. Pastides Parveen Jayia and Neil Chauhan
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4. Microbiology 88
Parveen Jayia and Hugo Donaldson
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5. Radiology 107
Prasanna L. Perera and Vimal Raj
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6. General Surgery and Gastroenterology 146
Parveen Jayia Petrut Gogalniceanu and Paraskevas A. Paraskeva
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7. Musculoskeletal Medicine and Trauma 171
Philip S. Pastides and Parminder Johal
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8. Dermatology 199
Claudia Carmaciu and Rohaj Mehta
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9. Ophthalmology 229
Nick Muthiah and Michel Michaelides
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10. Evidence-based Medicine 253
Philip S. Pastides and Parveen Jayia
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Appendix A. How to Interpret an ECG 267
Appendix B. How to Interpret a Chest Radiograph 269
Appendix C. How to Interpret an Arterial Blood Gas 271
Appendix D. How to Interpret an Abdominal Radiograph 273
Appendix E. How to Interpret a CT Head 276
Philip Pastides is a Core Surgical Trainee at the Royal National Orthopaedic Hospital NHS Trust, Stanmore, London
Parveen Jayia is a Core Surgical Trainee at St Mary's Hospital, Imperial College Healthcare NHS Trust, London
Date de parution : 05-2012
Ouvrage de 292 p.
14x21.6 cm
Thème de Clinical Data Interpretation for Medical Finals :
Mots-clés :
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