Epidemiology for Boards Flashcards

1
Q

Sort criteria A

A

Based on meta-analysis or high quality RCT

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2
Q

Sort criteria B

A

Observational studies

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3
Q

Sort criteria C

A

Expert opinion or anecdote

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4
Q

Relative Risk - how to calculate

A
  • Calculated on cohort study or RCT
  • ratio of incidence: outcome of exposed vs unexposed
    = risk exp/risk unexp = EER/CER = [a/(a+c)]/[b/(b+d)]
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5
Q

Absolute risk reduction - how to calculate

A
  • difference between control event rate and experimental event rate
    = control event rate - experimental event rate
    = CER - EER = [b/(b+d)] - [a/(a+c)]
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6
Q

NNT or NNH - how to calculate

A

= 1/ARR or 100/%ARR

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7
Q

Cohort study

A

Follow the unexposed over time to see if they develop disease or not

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8
Q

Relative risk - how to interpret

A
  • A RR of 1.0 indicates probability of exposed and unexposed groups are identical
  • 1.33 = 33% more likely to develop the disease if exposed
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9
Q

How do I set up my contingency table to calculate Sensitivity and Specificity?

A
  • X axis is disease

- Y axis is test result

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10
Q

How do I construct a contingency table for RR and ARR

A
  • x axis is exposure

- y axis is disease

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11
Q

Sensitivity - how to calculate

A

= TP/TP + FN
= A/(A+C)
= looking for positivity in people with disease

SNOUT to rule out, sensitive test with negative result will rule out disease

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12
Q

Specificity - how to calculate

A

= TN/FP + TN
= D/(B+D)
= probability that test will be negative in patients without a disease

SPIN to rule in, specific test with positive result will confirm disease

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13
Q

Positive predictive value

A

Proportion of positive results that are true positives
- likelihood that a person with a + test actually has disease

= TP/TP+FP x 100
= a/(a+b) x 100

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14
Q

Negative predictive value

A

proportion of negative results that are true negatives
- likelihood that a person with a negative test truly does not have disease

= TN/FN+TN
= d/(c+d)

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