Case Control Studies Flashcards

(32 cards)

1
Q

How are case control studies carried out

A

Identify cases -> identify similar individuals without disease /controls -> determine previous exposure -> relate exposure and disease info

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2
Q

Where can cases for case control studies be found

A

Disease registry
Hospital recruitment

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3
Q

Is there usually more cases or more controls in a case control study

A

Controls

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4
Q

Why are patients and controls matched

A

Decr impact of confounders

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5
Q

Why can overmatching effect results negatively

A

Case and control may not differ in exposure of interest, eg siblings both effected by parental smoking

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6
Q

Types of bias in case control studies

A

Recall bias
Reverse causality
Selection of cases
Selection of controls

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7
Q

Recall bias

A

differences in the accuracy or completeness of the recollections retrieved by study participants regarding events or experiences from the past.

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8
Q

Reverse causality

A

direction of cause-and-effect contrary to a common presumption or to a two-way causal relationship
Disease causes changes in recent exposures

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9
Q

Cohort study case control study difference

A

cohort study is concerned with frequency of disease in exposed and non-exposed individuals, the case-control study is concerned with the frequency and amount of exposure in subjects with a specific disease (cases) and people without the disease (controls)

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10
Q

Are cohort studies or case control studies better for rare diseases

A

Case control

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11
Q

How does a Nested case control study differ from a regular case control study

A

Cohort defined before identifying is individuals have disease or not in nested case control
Nested case controls require samples to be stored

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12
Q

Is a cohort study or case control study better for a rare exposure

A

Cohort

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13
Q

Are case control studies or cohort studies quicker

A

Case control

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14
Q

Is recall bias more of a problem in cohort or case control studies

A

Case control

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15
Q

Why can relative risk not be calculated in a case control study

A

Number with and without disease selected

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16
Q

What type of disease is relative risk approximately equal to odds ratio in

17
Q

How is odds ratio calculated

A

Odds exposure in cases / odds exposure in controls

18
Q

How can confounding variables be adjusted for in cohort studies

A

Logistic regression

19
Q

Can risk be calculated in a case control study

20
Q

How is absolute excess risk calculated

A

Risk in exposed - risk in unexposed

21
Q

What does incidence in population attributable to exposure/ incidence in population calculate

A

Attributable proportion

22
Q

How are incidence in population and incidence in population attributable to exposure calculated

A

Attributable to exposure - proportion exposed (relative risk-1)
Total incidence - 1+proportion exposed (relative risk - 1)

23
Q

Cross sectional study

A

Measure existing disease and current exposure and 1 point in time

24
Q

What are cross sectional studies used to assess

A

Exposure that won’t change - eg sex
Prevalence rate
Exposure rate

25
Disadvantages of cross sectional studies
Not useful for rare diseases Not useful for diseases with short duration Bias if responders and non responders differ Can’t assess causality
26
Why can causality not be assessed in a cross sectional study
No follow up
27
What is usually used to collect data in a cross sectional study
Questionnaire
28
Which studies have the highest risk of bias and confounding out of clinical trials, cohort studies, case control studies, and cross sectional studies
Cross sectional -> case control -> cohort -> clinical trial Most to least likely to have bias and confounding
29
Which studies give the strongest proof of causality out of clinical trial, cohort studies, case control studies, and cross sectional studies
Cross sectional -> case control -> cohort -> clinical Increasing strength of proof of causality
30
What can cause incorrect associations between an exposure and a disease
Bias Reverse causality Confounding Incorrect analysis Chance
31
What is used to assess whether there is a causal relationship between an exposure and a disease
Bradford hill criteria
32
Aspects of Bradford hill criteria
Association strength Dose response Time sequence - exposure precedes outcome Consistency of findings in other population Biological plausibility Coherence of evidence w other study types Reversibility