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Key concepts in clinical epidemiology: reporting on the accuracy of continuous tests
by
Kohn, Michael A.
in
Arthritis
/ Emergency medical care
/ Epidemiology
/ Health risks
/ Heart failure
/ Humans
/ Internal Medicine
/ Leukocytes
/ Likelihood ratio
/ Patients
/ Peptides
/ Probability
/ Pulmonary embolisms
/ Risk assessment
/ Sensitivity and Specificity
/ Severe acute respiratory syndrome coronavirus 2
2022
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Key concepts in clinical epidemiology: reporting on the accuracy of continuous tests
by
Kohn, Michael A.
in
Arthritis
/ Emergency medical care
/ Epidemiology
/ Health risks
/ Heart failure
/ Humans
/ Internal Medicine
/ Leukocytes
/ Likelihood ratio
/ Patients
/ Peptides
/ Probability
/ Pulmonary embolisms
/ Risk assessment
/ Sensitivity and Specificity
/ Severe acute respiratory syndrome coronavirus 2
2022
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Do you wish to request the book?
Key concepts in clinical epidemiology: reporting on the accuracy of continuous tests
by
Kohn, Michael A.
in
Arthritis
/ Emergency medical care
/ Epidemiology
/ Health risks
/ Heart failure
/ Humans
/ Internal Medicine
/ Leukocytes
/ Likelihood ratio
/ Patients
/ Peptides
/ Probability
/ Pulmonary embolisms
/ Risk assessment
/ Sensitivity and Specificity
/ Severe acute respiratory syndrome coronavirus 2
2022
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Key concepts in clinical epidemiology: reporting on the accuracy of continuous tests
Journal Article
Key concepts in clinical epidemiology: reporting on the accuracy of continuous tests
2022
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Overview
Many clinical diagnostic tests, such as the joint fluid white blood cell count, produce results on a continuous scale, rather than a mere positive or negative. The accuracy of such tests is often reported as a positive and negative likelihood ratio at each of several potential cutoff points (e.g., ≥25,000/μL vs. not, ≥50,000/μL vs. not; ≥100,000/μL vs. not). This Key Concepts article reviews the definition of a likelihood ratio and explains why the practice of dichotomizing the test is problematic. Instead, it proposes that such continuous scales be divided into multiple intervals (e.g., 0–25,000, >25,000–50,000, >50,000–100,000, >100,000) and each interval be given its own likelihood ratio. This practice not only aligns with clinical common sense and practice but also enables a more accurate estimate of the updated risk of disease, given a pre-test risk.
Publisher
Elsevier Inc,Elsevier Limited
Subject
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