Diagnostic tests Flashcards

1
Q

Why are diagnostic tests carried out?

A

To confirm a patient has or has had a disease
Narrow down differential diagnosis
Confirm presence of disease in a population
Quantify severity of disease in a population

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2
Q

If false positives are decreased, what effect does this have on false negatives?

A

Increases false negatives

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3
Q

If false negatives are decreased, what effect does this have on false positives?

A

Increase false positives

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4
Q

Sensitivity and specificity tests should be done under the same conditions. Give examples of these conditons

A

Same reagents
Same temperature
Same equipment
Same training of personnel

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5
Q

What are nomograms used for?

A

Detecting how probability changes based on pretest probability and likelihood ratios

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6
Q

What is used for pre-test probability in nomograms?

A

Best guess of prevalence

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7
Q

What do diagnostic tests imply which makes them less reliable?

A

Diagnostic tests work out probability of animal having disease
Don’t see if animal does or doesn’t have disease

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8
Q

What is sensitivity?

A

If D+, chance of T+

How good test is at detecting diseased animals

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9
Q

What is specificity?

A

If D-, chance of T-

How good test is at detecting non-diseased animals

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10
Q

What is the predictive value of a positive test (PVP)?

A

If T+, chance of D+

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11
Q

What is the predictive value of a negative test? (PVN)?

A

If T-, chance of D-

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12
Q

What is true prevalence

A

Number of animals with a disease

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13
Q

What is apparent prevalence?

A

Number of animals that test positive for a disease

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14
Q

What is test accuracy

A

The proportion of tests that are correct

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15
Q

What is the likelihood ratio?

A

Probability of getting a test result in a D+ compared to a D- patient
Estimates how a test result changes the odds of having a disease

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16
Q

What does a likelihood ratio of 1 mean?

A

Test unable to distinguish if diseased or not

17
Q

What does a likelihood ratio of more or less than one mean?

A
>1 = test result associated with disease
<1 = test result associated without disease
18
Q

The further away from 1, the stronger the evidence of a likelihood ratio. What numbers are needed to rule a diagnosis in or out?

A

LR + = >10

LR - = <0.1