EBM Flashcards

1
Q

Define: Sensitivity

A

The probability that a test will be a true

positive in a person with the disease. Sensitivity relates to the test’s ability to identify a condition correctly.

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2
Q

Define: Specificity

A

The probability that a test will be a true negative in a person who does not have the disease. Specificity relates to the test’s ability to exclude a condition correctly.

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3
Q

Define: Positive Predictive Value

A

The probability that a person with a positive test has the disease

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4
Q

Define: Negative Predictive Value

A

The probability that a person with a negative test does not have the disease

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5
Q

Draw a 2x2 Table for calculate EBM statistics

A

Test result on the left (First row: positive test, Second Row: Negative test)
Disease State on the top (First column: has the disease, Second Column: does not have the disease)

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6
Q

How do you calculate the Sensitivity

A

Number with disease with a positive test / number with the disease.
A / A+C

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7
Q

How do you calculate the Specificity

A

Number without the disease with a negative test result / Number without the disease.
D/D+B

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8
Q

How do you calculate the Positive Predictive Value

A

Number with disease and a positive test result / number of people with a positive test result.
A/A+B

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9
Q

How do you calculate the Negative Predictive Value

A

Number with disease and a negative test result / number of people with a negative test result.
D/C+D

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10
Q

What is the pre-test probability the equivalent of?

A

Prevalence

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11
Q

SnNout

A

Negative results from highly sensitive tests can rule a diagnosis out (sensitive, negative, out = SnNOut), and

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12
Q

SpPin

A

Positive results from highly specific tests can rule a diagnosis in (specific, positive, in = SpPIn)

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13
Q

Which of the four EBM statistical values are altered by changes in the prevalence of the disease?

A

PPV and NPV.

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