Lecture 5 (Case-Control Studies) Flashcards

1
Q

Case control study

A

-Group of ppl w/disease + comparison grp w/o disease compared w/respect to history of past exposures

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2
Q

Diff between case control and cohort study

A
  • Case control: starts w/ppl with and w/o disease, compares history of past exposures
  • Cohort: starts w/ppl with and w/o exposure, follows to compare future disease
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3
Q

Incidence or prevalence for case control study?

A
  • Incidence preferred
  • Prevalence can’t distinguish between risk factors for development vs survival (smtms used so we don’t have to wait for incidence though)
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4
Q

Source pop

A

-Pop that gives rise to cases

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5
Q

Case def

A

-Definite medical criteria to ID cases

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6
Q

Case ID

A

-System for finding all cases who meet criteria and are part of source pop

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7
Q

Source pop types

A
  • Pop-based
  • Hospital-based
  • Nested
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8
Q

Pop-based: source pop

A

-All residents of defined geo area w/o disease X

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9
Q

Pop-based: cases

A

-All new cases of disease X in source pop, over specified period of time

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10
Q

Pop-cased: controls and their selection

A
  • Sample (ideally random) of source pop over same period of time
  • Selection: random sample f/pop registry, neighbourhood controls, random digit dialling
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11
Q

Hosp-based: source pop

A
  • All ppl w/o Disease X who would attend Hosp A if they had it
  • Impossible to ID in practice, random sample in general =/= source pop b/c it doesn’t account for referral patterns
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12
Q

Hosp-based: cases

A

-All new cases ID’d in Hosp A over specified period

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13
Q

Hop-based: controls

A

-Sample of patients in Hosp A w/diagnoses other than Disease X over same period (shared risk factors means exposures won’t be representative of general pop)

OR

-Non random sample of pop, most of whom are healthy (but distribution of exposures may not be = between grps)

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14
Q

Effective strategies for hosp-based controls

A
  • Limit controls to those hospitalized for disease w/no shared risk factors
  • Include variety of diseases in control grp to dilute biasing effects of unknown shared risk factors
  • When excluding diseases, only consider diagnosis at current hospitalization
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15
Q

Nested: source pop

A

-Subjects in ongoing concurrent cohort study who did not have Disease X at baseline

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16
Q

Nested: cases

A

-All new cases in cohort over defined follow-up period

17
Q

Nested: controls

A

-Random sample of cohort who didn’t develop Disease X over same time period

18
Q

Pros of a nested case control study (vs cohort)

A
  • Requires analysis of way less samples/etc. (cohort: all, this: only cases/controls)
  • Preservations of specimens for other research
19
Q

Case control: matching

A

-Selection of controls similar to cases w/respect to factors other than exposure

20
Q

Frequency matching

A

-Selection such that distribution of matching factors is similar in case/control grps

21
Q

Individual matching

A

-Each control individually matched to case w/respect to specific factors

22
Q

Implications of matching

A
  • Association between matching factors + disease can’t be studied
  • Overmatching: if matching factor is associated w/the exposure of interest –> similar factors between grp
  • Must be taken into account throughout analysis
23
Q

Case-control: RR

A
  • Can’t accurately measure incidence b/c we picked #s in both grps, therefore no RR
  • Can do OR instead
24
Q

Odds Ratio

A
  • Ratio of odds that cases were exposed vs odds that controls were exposed
  • Good approximation of RR in most cases
  • Same interpretation as RR
25
Q

Analysis of matched pairs w/dichotomous exposure

A

++/–: concordant (uninformative)

+-/-+: disocrdant (can produce OR)

26
Q

Pros of case control studies

A
  • Way less time than cohort
  • Requires much smaller sample size (if exposure is common, if it’s rare: cohort)
  • Much less costly
  • Can test hyps
  • Useful for studying rare diseases
27
Q

Cons of case control studies

A
  • Past exposures ascertained after the onset of disease (uncertainty for causality, recall bias)
  • Prone to selection bias
  • Can estimate incidence using OR
  • Observational study
28
Q

Reliability

A

-Reproducibility/replicability of measurement

29
Q

Validity

A

-Degree to which a measurement measures what it purports to