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Diagnostic tests: how to estimate the positive predictive value.

Annette M Molinaro1

  • 1Department of Neurological Surgery, University of California, San Francisco, San Francisco, California; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California.

Neuro-Oncology Practice
|August 7, 2019
PubMed
Summary
This summary is machine-generated.

Patients often misunderstand positive diagnostic test results. This review explains positive predictive value (PPV) and how doctors can accurately calculate and communicate it to reduce patient anxiety and unnecessary procedures.

Keywords:
diagnostic testsfalse positive ratepositive predictive valuesensitivitystatistics

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Area of Science:

  • Medical Diagnostics
  • Biostatistics
  • Clinical Decision-Making

Background:

  • Patients receiving a positive diagnostic test result often assume they have the disease.
  • The positive predictive value (PPV), the probability of having the disease given a positive test, is frequently not 100%.

Purpose of the Study:

  • To explain the concept of positive predictive value (PPV) to healthcare providers.
  • To highlight common physician misinterpretations of PPV and their consequences.
  • To review methods for accurately calculating PPV.

Main Methods:

  • Review of the concept of positive predictive value (PPV).
  • Analysis of common errors in PPV calculation and interpretation by physicians.
  • Presentation of three distinct methods for calculating PPV.

Main Results:

  • Physicians often miscalculate PPV as sensitivity or misinterpret its meaning.
  • Misinterpretation leads to increased patient anxiety and unnecessary medical interventions.
  • Accurate PPV calculation is crucial for effective patient communication.

Conclusions:

  • Understanding and accurately calculating PPV is essential for physicians.
  • Clear communication of PPV can mitigate patient anxiety and reduce healthcare costs.
  • This review provides methods to improve PPV calculation and interpretation in clinical practice.