Lecture 3 Flashcards

Quantifying the Extent of Disease

1
Q

What types of study designs use prevalence?

A

cross-sectional, some cohort, and case-control studies

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2
Q

What types of study designs use incidence?

A

most cohort and randomized controlled trials (RCTs)

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3
Q

What can incidence be calculated as and what must each have?

A

can be calculated as a proportion (defined time interval) or a rate (person-time denominator)

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4
Q

What is the incidence rate (IR) equation?

A

IR = # cases / person-time total of ALL participants

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5
Q

What is person-time?

A

the number of years that a participant contributed to a study before developing the disease, dropping out, or passing away

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6
Q

What is cumulative incidence (CI)?

A

it is the risk reflecting the proportion of participants who developed the disease over a period of time as a % (needs ALL initial participants to follow up/complete study)

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7
Q

What is the CI equation?

A

CI = # persons who developed the disease during a period of time / # persons at risk at BASELINE who stay till the end of the study and remain disease free (only those with risk factor or disease free at the time of calculation)

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8
Q

What are the difference measures that can be ran on incidence values?

A
  • risk difference (RD) or absolute risk reduction (ARR)
  • number needed to treat (NNT)
  • risk ratio or relative risk (RR)
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9
Q

What is the RD equation?

A

RD = IR or CI exposed - IR or CI unexposed
- all values are absolute

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10
Q

What would the interpretation of the RD value be?

A

RD is positive- risk for exposed > unexposed
RD is negative- risk for exposed < unexposed

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11
Q

What is the number needed to treat equation?

A

NNT = 1 / RD (always round value up)

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12
Q

What would the interpretation of the NNT value be?

A

the value is the number of individuals that would need to be treated to prevent 1 case of the disease/outcome

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13
Q

What is the relative risk (RR) equation?

A

RR = CI exposed / CI unexposed (always controls)
(never negative value)

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14
Q

What would the interpretation of the RR value be?

A

value > 1- risk is HIGHER in the numerator (exposed) than the denominator (unexposed)
value < 1- risk is LOWER in exposed than unexposed

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15
Q

What is the prevalence point (PP) equation?

A

PP = # persons with disease / # persons examined at BASELINE of the group being examined (cases and controls)

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16
Q

What are the difference measures that can be ran on prevalence value?

A
  • prevalence difference (PD)
  • population attributed risk (PAR)
  • odds ratio (OR)
17
Q

What is the prevalence difference (PD) equation?

A

PD = PP exposed - PP unexposed

18
Q

What would the interpretation of the PD value be?

A

PD is positive- risk for exposed > unexposed
PD is negative- risk for exposed < unexposed

19
Q

What is the population attributed risk (PAR) equation?

A

PAR = [PP overall - PP unexposed] / PP overall
- represented as a %

20
Q

What would the interpretation of the PAR value be?

A

the % value is the % of prevalent cases that are correlated the the exposure that could be eliminated if the exposure were to be removed

21
Q

What is the odds ratio (OR) equation?

A

OR = [PP exposed / (1 - PP exposed)] / [PP unexposed / (1 - PP unexposed)]

22
Q

What would the interpretation of the OR value be?

A

OR < 1- having the exposure LOWERS the odds of obtaining the outcome (has decreased risk)
OR > 1- having the exposure INCREASES the odds of obtaining the outcome (has increased risk)

23
Q

What type of study design can RR not be estimated for?

A

case-control studies