Observational Studies in CVD Flashcards

1
Q

What are descriptive studies?

A
  • describe a particular risk factor or disease
  • e.g. observational studies: cases, ecological, cross-sectional
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2
Q

What are analytical studies?

A
  • study cause and effect
  • e.g. observational: case-control, cohort; interventional: clinical trials
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3
Q

Non-longitudinal studies

A

Measures at one point in time with no follow up

e.g. case, ecologcial, cross-sectional, case-control

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4
Q

Longitudinal studies

A

Have a follow-up after a period of time

e.g. cohort, clinical trials

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5
Q

How is data collected for CS studies?

A
  • questionnaires
  • examinations
  • investigations
  • produce mostly descriptive outputs related to prevalence
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6
Q

What is the limitation of a CS study?

A
  • associations among variables, not temporal relationships
  • weak evidence of causality
  • hypothesis generating rather than supporting
  • cannot determine cause and effect
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7
Q

What is an example of a CS study?

A

AusDiab: The Australian Diabetes, Obesity and Lifestyle Study

2000, 11000 people, CHD, diabetes and other diseases

prevalence data

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8
Q

Case control studies compare

A

Previous exposure status to a particular risk factor between cases and controls

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9
Q

In retrospective study designs

A
  • cohort or case-control studies
  • outcome of interest has already ocurred at initiation of the study
  • looking to the past to identify a commong risk factor
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10
Q

What are the benefits of case-control studies?

A
  • explicit knowledge of temporal relationships between exposure and outcome
  • useful for rare outcomes
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11
Q

What are the drawbacks of case-control studies?

A
  • Cannot investigate the true temporal relationsjip between the exposure and the outcome
  • cannot infer incidence
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12
Q

What is an odds ratio?

A
  • approximation of relative risk of outcome conferred by exposure
  • output of case-control studies
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13
Q

What is the key output of a case-control study?

A

The odds ratio: an approximation of relative risk

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14
Q

How is the odds ratio calculated?

A

OR= [odds of exposure to non-exposure among cases]/[odds of exposure to non-exposure among controls]

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15
Q

What is an example of a case-control study?

A

The INTERHEART study

  • effect of modifiable risk factors associated with MI differs across coutnries
  • e.g. smokers have 2.87x risk of MI
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16
Q

What are the hallmarks of a cohort study?

A
  • longitudinal (w/follow-up)
  • incidence data
  • comparison of outcomes between/subgroups (e.g. exposed vs non-exposed)
  • derive relative risk
17
Q

What is a prospective cohort study?

A
  • people classified by exposure (risk factor) prior to outomce
  • allows knowledge of temporal relationship between exposure and outcome
18
Q

What is a retrospective cohort study?

A
  • use data already available for a cohort and the cohort has developed the outcomes
  • more cost-effective
  • e.g. registered patient data at a heart failure clinic
19
Q

What are the advantages to a cohort study?

A
  • Study multiple exposures and outcomes can be assessed
  • Can research hypotheses post-hoc (i.e. retrospective)
20
Q

What are the disadvantages of cohort studies?

A
  • difficult for rare outcomes
  • not cheap or easy
21
Q

Example of a cohort study?

A

Framingham Heart Study

  • 5000 people, 1948
  • est. risk factors for CVD (lipids, somking, BP, etc.)
  • incidence of CVD, coronary HD, and stroke
  • recruitment of offspring continued the study
22
Q

What is active outcome ascertainment?

Passive?

A

Physical validation of an outcome by assessment (e.g. hospital visit)

Obtained from databases of hospital, clinic visits etc.

23
Q

What is bias?

A

Unintentional error that causes a systematic difference between or among groups

24
Q

What is selection bias type I?

A

systematic difference in people selected vs. not selected

  • ‘worried well’ are more likely to participate but are usually more active and motivated in some way
  • results are tf not generalizable
25
Q

What is selection bias type II?

A
  • Systematic differences in subjects within groups being compared
  • may attribute to differences observed in results rather than exposure
  • e.g. recruiting all cases from the hospital and all controls from outside
26
Q

What is information bias?

A
  • systematic differences in the way information is collected between/among groups being compared
  • differences (partly) responsible for results
  • e.g. BP cuffs on healthy and obese pt - cuffs are tighter on obese and tf influence BP measurements
27
Q

Recall bias is

A
  • a type of information bias
  • people with the condition of interest are more likely to remember exposure to a risk factor
28
Q

What is confounding?

A
  • mistaken attribution for the relationship between two variables
  • a confounder can independently alter the outcome
  • it can be related to the exposure
  • e.g. age, sex
29
Q

How can confounding be minimized?

A
  • match by confounders (e.g. age, sex)
  • restriction criterea (e.g. only males)
  • stratification analysis (by sub-groups)
  • multivariate analyses