Prevention Book

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Likelihood Ratio

Aka: Likelihood Ratio, Positive Likelihood Ratio, LR+, Negative Likelihood Ratio, LR-
  1. Indications
    1. Determine whether a test offers value in a patient's evaluation for a particular condition
  2. Definition
    1. Positive Likelihood Ratio (LR+): Rule-In Condition
      1. Extent to which a positive test increases the likelihood that a patient has that disease
      2. Calculation 1: LR+ = (pTruePos / pFalsePos)
        1. pTruePos = Probability that a person with the condition has a positive test
        2. pFalsePos = Probablity that a person without the condition has a positive test
      3. Calculation 2: LR+ = (Test Sensitivity) / (1 - Test Specificity)
    2. Negative Likelihood Ratio (LR-): Rule-Out Condition
      1. Extent to which a negative test decreases the likelihood that a patient has that disease
      2. Calculation 1: LR- = (pFalseNeg / pTrueNeg)
        1. pFalseNeg = Probability that a person with the condition has a negative test
        2. pTrueNeg = Probablity that a person without the condition has a negative test
      3. Calculation 2: LR+ = (1 - Test Sensitivity) / (Test Specificity)
  3. Interpretation: Positive Likelihood Ratio (LR+)
    1. LR+ over 5 - 10: Significantly increases likelihood of the disease
    2. LR+ between 0.2 to 5 (esp if close to 1): Does not modify the likelihood of the disease
    3. LR+ below 0.1 - 0.2: Significantly decreases the likelihood of the disease

LIKELIHOOD RATIO (C0150102)

Definition (MCM) For a screening or diagnostic test (including clinical signs or symptoms), expresses the relative odds that a given test result would be expected in a patient with (as opposed to one without) a disorder of interest.
Concepts Quantitative Concept (T081)
English LIKELIHOOD RATIO, likelihood ratios, likelihood ratio
Sources
Derived from the NIH UMLS (Unified Medical Language System)


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