Case-Control Studies Flashcards

1
Q

What is the hierarchy of Epidemiologic Study Designs (7)?

A

Case Reports (useless), Case Series, Ecologic Studies, Cross-Sectional Studies, Case-Control Studies, Cohort Studies, Randomized Controlled Trials

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What are some of the differences between Case-Control and Retrospective/Prospective Cohort studies?

A

Case-control studies: you can’t use the RR, you can only use the OR, good for rare diseases; figure out what caused the disease
Prospective Cohort - monitor exposure and the onset of disease, conduct interviews, level of exposure is more understood, RR and OR are both relevant for this. Can test a new treatment
Retrospective Cohort - RR and OR are both relevant, looking backward

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Definition of Case-Control Study

A

The case-control study in epidemiology is an analytic epidemiologic research design which the study population consists of groups who either have (cases) or do not have a particular problem or outcome (controls).

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Where does the investigator look in a Case-Control study and what do they measure?

A

They look back in time to measure the exposure of the study subjects. The exposure is then compared among cases and controls to determine if exposure could account for the health condition of the cases.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Characteristics of Case-Control Studies (7)

A

Observational/Non-experimental
Occasionally exploratory
Explanatory (Analytical)
Retrospective (Look backward)
Effect to Cause (What made them sick?)
Both exposure and disease have already occurred
Uses comparison group (Controls)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Basic overview of Case-Control design

A

The investigator selects cases with the disease, and the appropriate controls without the disease and obtains data regarding past exposure to possible etiologic factors in both groups. The investigator then compares the frequency of exposure of the two groups.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What are cases made up of?

A

Those exposed and not exposed WITH the disease

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What are controls made up of?

A

Those exposed and not exposed WITHOUT the disease

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Odds Ratio in Case-Control Studies

A

In CCS we ask whether certain exposures are more common among those with the disease. Here we are sampling only a portion of potentially exposed people. These differences mean that with CCS we rely on odds ratios to determine whether exposure to a risk factor is more common among cases or controls.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

How does relative risk help a CCS?

A

Helps determine whether incident of disease is associated with certain exposures

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Calculation for Odds

A

Odds for cases = # cases exposed to RF/ # cases NOT exposed to RF
Odds for controls = # controls exposed / # controls not exposed

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Sources for controls (6)

A

Population of defined area
Hospital patients
Probability sample of the total population
Neighbors (walk, hone, letters)
Friends of cases
Siblings, spouses, relatives
Other

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Odds Ratio Calculation

A

Odds cases/Odds Controls

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Odds Ratio Explanation

A

You had a ___ times greater chance of becoming ill if ____ as compared to those that did not

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Calculating confidence interval for OR

A
  1. Calculate error factor e= e1.96x SqRt (1/a + 1/b +1/c +1/d)
  2. Lower limit = OR/EF
  3. Upper limit = ORxEF
  4. Explanation - There is a 95% probability that the true Odds Ratio for the entire population lies between ___ and ____.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Bias

A

Any systematic error in the study design that results in an incorrect estimation of the association between exposure and risk of disease

17
Q

Information bias

A

Differences in the way exposure or outcome are measured between controls and diseased groups

18
Q

What are observers’ impact on bias and how do researchers mitigate/reduce it (3)?

A

Observers are privy to the desired outcome and influence data.
Reduce bias by:
1. Blind studies
2. Strict protocols
3. Standardized questionnaires

19
Q

Recall bias

A

The individuals being questioned have different levels of recall. Cases, due to the trauma of illness, are likely to better recall exposures than controls. (Children, elderly)

20
Q

What does recall bias lead to?

A

Over or under estimations or associations between exposure and outcome

21
Q

Selection bias

A

Poor selection of controls, in which there are differences beyond exposure

22
Q

How do you reduce selection bias?

A

Choose controls with the same demographics and exposure

23
Q

How do you calculate OR from a 2x2?

A

a x d / b x c = OR

24
Q

Confounding

A

Confounding is when another variable, outside the one being considered, may influence the outcome of disease (Ex - alcoholics more likely to smoke)

25
Q

Effects of confounding

A

Can mislead the investigator to make associations or miss associations between a risk factor and disease outcome when none really exists.
Can cause and over or under estimation of a risk factor’s effect

26
Q

Advantages of CCS (4)

A
  1. cheap, easy, quick
  2. multiple exposures can be examined
  3. rare diseases and diseases with long latency can be studied
  4. suitable when randomization is unethical
27
Q

Disadvantages of CCS (8)

A
  1. cases and control selection are troublesome
  2. subject to bias
  3. direct incidence estimation is impossible
  4. temporal relationship is unclear
  5. multiple outcomes cannot be studied
  6. if the incidence of exposure is high, it is difficult to show the difference between cases and controls
  7. not easy to estimate the attributable fraction
  8. reverse causation is a problem in interpretation (especially molecular)