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Lectures: -L10 - Diagnostic testing

1
Q

What are reasons that real life test performance can differ from test performance reported by the manufacturer? (5)

A
  1. Bad quality product
  2. Bad lot of products
  3. Performance measured on a specific population/time point
  4. Different sample type used
  5. Inter-institute variation
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2
Q

How can a bad lot quality be detected?

A

Whenever new products come in, ISO-accredited labs determine test characteristics & performance

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3
Q

What is the definition of test sensitivity?

A

The ability of a test to correctly identify those with a disease

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4
Q

What is the calculation for test sensitivity?

A

TP/TP+FN

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5
Q

What is the definition of test specificity?

A

The ability of a test to correctly identify those without the disease

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6
Q

What is the calculation for test specificity?

A

TN/TN+FP

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7
Q

What do the positive predictive value/negative predictive value depend on?

A

Disease prevalence within the population

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8
Q

What is the positive predictive value?

A

Proprotion of positive results that are true positives

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9
Q

What is the negative predictive value?

A

Proportion of negative results that are true negatives

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10
Q

What happens to PPV when disease prevalence increases? Why does this happen?

A

PPV increases
The higher the disease prevalence, the more people are ill -> even low sensitivity tests will pick up quite a lot of people

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11
Q

In which situations can tests with (relatively) low sensitivity be used?

A

In diseases with a high prevalence, because PPV will still be high

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12
Q

What happens to NPV when prevalence increases? Why?

A

NPV decreases
Tests with a high specificity still misdiagnose TN people as FP when they are run often enough

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