Nova Publishers
My Account Nova Publishers Shopping Cart
HomeBooksSeriesJournalsReference CollectionseBooksInformationSalesImprintsFor Authors
  Top » Catalog » Books » Biology » Biology - General » Advances in Medicine and Biology. Volume 5 Chapters » My Account  |  Cart Contents  |  Checkout   
Quick Find
Use keywords to find the product you are looking for.
Advanced Search
What's New? more
Doxycycline: Medical Uses and Effects
Shopping Cart more
0 items
Shipping & Returns
Privacy Notice
Conditions of Use
Contact Us
Notifications more
NotificationsNotify me of updates to Diagnostic Test Interpretation and Reasoning under Uncertainty pp. 37-62
Tell A Friend
Tell someone you know about this product.
Diagnostic Test Interpretation and Reasoning under Uncertainty pp. 37-62 $100.00
Authors:  (Matt T. Bianchi, Brian Alexander, Neurology Department, Sleep Division, Massachusetts General Hospital, Wang Ambulatory Center, Boston, Massachusetts, and others)
Decisions of when to order and how to interpret diagnostic tests form the cornerstone of medical care. However, interpreting a patient‘s test results in the context of their clinical presentation is not always straightforward. The objective rigor of diagnostic tests may be perceived as providing superior information, compared to the clinical evaluation (history and physical findings). Prior studies demonstrate that clinicians at all levels of experience and fields of expertise may not consistently incorporate two critical points of uncertainty in diagnostic decision making: imperfect test accuracy and the pre-test probability of the disease being investigated. This review highlights some pitfalls in diagnostic reasoning in this regard, and emphasizes strategies to incorporate clinical and diagnostic information, including uncertainty therein, to optimize diagnostic reasoning. The Bayesian approach to diagnostic testing, which incorporates information about the test as well as the patient being tested, is more commonly discussed than implemented in routine patient care. Uncertainty about estimating pre-test probability is an important obstacle in the implementation of Bayesian test interpretation. The statistical consequences (and greatest chance for mis-interpretation) are most evident when test results oppose clinical judgment. A simple graphical approach is presented to address the sometimes counter-intuitive relationships between the otherwise familiar concepts of sensitivity, specificity, likelihood ratio, pre-test probability, and predictive value. Additionally, a framework for incorporating uncertainty in pre-test probability demonstrates how (and under what conditions) unexpected results increase diagnostic uncertainty. A simple nomogram can help determine whether a physician, when faced with an unexpected test result, should place more trust in the test result versus their own clinical judgment about disease probability. Clinical examples are provided throughout to highlight practical applications. 

Available Options:
This Item Is Currently Unavailable.
Special Focus Titles
01.Violent Communication and Bullying in Early Childhood Education
02.Cultural Considerations in Intervention with Women and Children Exposed to Intimate Partner Violence
03.Chronic Disease and Disability: The Pediatric Lung
04.Fruit and Vegetable Consumption and Health: New Research
05.Fire and the Sword: Understanding the Impact and Challenge of Organized Islamism. Volume 2

Nova Science Publishers
© Copyright 2004 - 2020

Diagnostic Test Interpretation and Reasoning under Uncertainty pp. 37-62