Test characteristics Flashcards

1
Q

Definition of ‘Sensitivity of the test’

A

Proportion of those with a disease which it correctly identifies

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2
Q

Formula for sensitivity

A

True positives/ True positives+false negatives

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3
Q

Definition of ‘specificity’

A

Proportion of those without the disease which it correctly identifies

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4
Q

Formula for specificity

A

True negatives/true negatives+false positives

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5
Q

Definition of positive predictive value

A

Probability that a subject has the disease given that they have a positive result

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6
Q

Formula for positive predictive value

A

True positives/ true positives+false positives

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7
Q

Definition of negative predictive value

A

Probability that subject doesn’t have disease given they have a negative result

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8
Q

Formula for negative predictive value

A

True negatives/ true negatives/false negatives

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9
Q

Formula for PPV

A

(sensitivity x prevalence)/ sensitivity x prevalence +((1-specificity)x (1-prevalence))

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10
Q

Whats a diagnostic test

A

Confirm or exclude prevalence of disease

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11
Q

Whats a screening test

A

Assess risk of disease to determine need for confirming diagnostic test

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12
Q

Whats a prognostic test

A

Assess risk of future disease and need for preventative measures

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13
Q

Difference between screening and diagnostic tests

A

screening- large no. of people. Simple + acceptable and high sensitivity

Diagnostic-expensive and invasive

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14
Q

Whats the Bayes test

A

Likelihood ration of a test: likelihood that a positive test would be accepted in a patient with the disease compared to the likelihood in a patient without

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15
Q

What are the past dest odds equL TO

A

Pre test odds

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