case-control studies Flashcards

1
Q

cases

case-control studies

A

have disease of interest

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2
Q

controls

case-control studies

A

don’t have disease of interest but COULD develop it

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3
Q

pros

case-control studies

A
  • cheap bc smaller sample size
  • good for diseases where medical care is sought
  • provides leads for follow-up
  • good for disease with long-lattency (takes long time to develop, we don’t have to wait bc it is retrospective)
  • rare disease
  • multiple exposures
  • FAST
  • good for rapid onset disease (can sort out what caused vs what is result of something)
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4
Q

cons

case-control studies

A
  • retrospective –> biase
  • need records
  • can’t establish, risk, prevalence, incidence
  • can only study 1 disease
  • can’t determine cause and effect
  • info on confounders may not be available
  • cases may search for cause of their disease and over-report exposure
  • assembling casees may be hard
  • identifying control might be hard
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5
Q

when do we use case-control studies

A

to examine a possible relationship btwn exposure and disease

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6
Q

start with

case-control studies

A

cases and controls, then measure exposure

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7
Q

odds ratio =

case-control studies

A

ad/bc

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8
Q

OR = 1.2

A

the odds of using artifical sweeteners is 1.02 times greater in bladder cancer cases than in controls

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9
Q

if exposure is associated with disease, we expect

A

more exposed in cases than controls

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10
Q

OR < 1

case-control studies

A

protective factor

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11
Q

OR = 1

case-control studies

A

no association

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12
Q

OR = 2

case-control studies

A

cases twice as likely as controls

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13
Q

95% confidence interbal

case-control studies

A

if 1 is included, OR is not significant
if 1 is NOT included, OR is significant

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14
Q

OR provides good estimate of risk when

case-control studies

A
  1. controls are representative of target population
  2. cases are representative of all cases
  3. frequency of disease in population is small, disease is rare
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15
Q

design: finding cases

case-control studies

A
  • define case conceptually and enroll in a specific time period
  • tumor registry or vital statistics registry
  • medical facilities
  • hospital cases (multicenter is best)
  • doctor’s office
  • community patient registry
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16
Q

sources of controls

case-control studies

A

non hospitalized controls:
* community: can be probability sample
* neighborhood controls
* random digit dialing to match neighborhood
* friend control
hospitalized controls:
* all other patients
* defined diagnosis

17
Q

exposure

case-control studies

A
  • exposure must be designed same in case and control
  • if looking through records, don’t let researcher know hypothesis
  • assure no routine recording of variable of interest in records
  • avoid physical measures that may be influenced by diseased state
18
Q

wording of questions

A
  • need to be sure exposure preceded disease
  • diet and colon cancer: ask about diet before symptoms
  • overian cancer and weight: ask about weight several years before diagnosis
  • may need to exclude ppl w/ symptoms >1 yr ago
19
Q

recall of exposure limitations

case-control studies

A
  1. limitations in recall
  2. recall bias
20
Q

limitations in recal

case-control studies

A

ppl might not know specific info or remember

21
Q

recall bias

case-control studies

A

cases may recall info to ggreater extent than controls
differential recall may lead to artifactual relationship

22
Q

use of multiple controls

case-control studies

A

2 or 3 same controls per case increases power of study
controls of diff types may help (if looking at risk for brain tumors have a normal control and other cancer control)

23
Q

nested case control study

case-control studies

A

case control nested in cohort study
population in defined cohort with baseline surveys and samples followed over time
cases: those who develop disease over time

24
Q

advantages of nested case control

A

data collected before disease develops (no recall bias)
cheaper than analyzing all samples for all cohort members

25
Q

nested case control start with

A

defined cohort
overtime, categorize into develop disease (cases) and have not developed (controls)

26
Q

what is coffee drinking incases is greater than that in controls?

A

this is a diff in exposure
matching will fix

27
Q

matching

A

match controls and cases for confounders (age, sex, race, SES, job)

28
Q

group matching

A

select controls so proprtion of controls have same characteristic as a proportion of cases

29
Q

individual matching

A

for each selected case, a control is selected who is similar to the case in terms of the matching variables

30
Q

concordant pairs

A

pairs in which both case and control are exposed
OR
neither exposed

31
Q

discordant pairs

A

case exposed, control not
OR
control exposed, case not

32
Q

analysis of case-control

A

logistical regression analysis