positive predictive value (PPV)

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Introduction

Predictive value of a positive test (PVP)

 true positives / (true positives + false positives)

The proportion of persons with a positive test who have the condition or disease.

(p x s) / ((p x s) + ((1 - p) x (1 - s)))

where p = prevalence & s = sensitivity

As the prevalence of a disease increases, so does the positive predictive value.[2]

(p x s) / ((p x s) + ((1 - p) x (1 - s)))

where p = prevalence & s = sensitivity

As the prevalence of a disease increases, so does the positive predictive value.[2]

Additional terms

References

  1. Harrison's Principles of Internal Medicine, 14th ed. Fauci et al (eds), McGraw-Hill Inc. NY, 1998, pg 502
  2. 2.0 2.1 2.2 Medical Knowledge Self Assessment Program (MKSAP) 14, 16, 17, 19. American College of Physicians, Philadelphia 2006, 2012, 2015, 2021
  3. Armstrong KA, Metlay JP. Annals Clinical Decision Making: Using a Diagnostic Test. Ann Intern Med. 2020 May 5;172(9):604-609 PMID: https://www.ncbi.nlm.nih.gov/pubmed/32311733