Clinical Decision Algorithms in Diabetes: A Practical Pocket Reference for Diagnosis, Classification, and Management of Diabetes and its Complications
Author(s):
Author(s): Viral N. Shah, MD, Halis Kaan Akturk, MD
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Clinical Decision Algorithms in Diabetes is intended to address clinicians’ need for complex diabetes information that is accessible, actionable, and applicable. From initial diagnosis and classification to pharmacologic therapy, complications, technology, and prevention, each algorithm is developed using the most up-to-date clinical evidence and meets the ADA’s 2025 Standards of Care in Diabetes.
The fast-paced nature of clinical practice often demands rapid assessments and treatment decisions. Clinical Decision Algorithms in Diabetesis intended to address clinicians’ need for complex diabetes information that is accessible, actionable, and applicable. Emphasis is placed on clarity, applicability, and clinical relevance, making this reference an essential tool for primary care physicians, endocrinologists, students, and other healthcare professionals involved in caring for people with diabetes.
From initial diagnosis and classification to pharmacologic therapy, complications, technology, and prevention, each algorithm is developed using the most up-to-date clinical evidence and meets the ADA’s 2025 Standards of Care in Diabetes.
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Author(s): Viral N. Shah, MD, Halis Kaan Akturk, MD