L5 - Case-Control Study Design Flashcards

(41 cards)

1
Q

Why Learn Case-Control Studies?
(EBP Framing)

A
  1. Clinical decisions rely on research evidence
  2. Many rehab questions involve risk factors
  3. Case-control studies are commonly misused
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2
Q

What type of study design are Case-Control Studies?

A

Retrospective: the outcome (disease) has already occurred.

*observational research design that focuses on events, data, or exposures that have already happened

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3
Q

How misused are case-control studies?
What is the impact?

A

97% misclassified in rehab literature (Mayo & Goldberg, 2009)
–> Incorrect design leads to wrong statistics and flawed conclusions =risking patient care

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4
Q

When are case-control studies useful? (3)

A
  1. Outcome is rare
  2. Exposure occurred in the past
  3. Prospective follow-up is impractical or unethical
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5
Q

Can we calculate incidence or risk of developing the outcome with case-control studies?

A

Case-control studies oversample the desired outcome (disease) on purpose

We can’t calculate incidence or risk of developing the outcome –> cohort studies! (follow ppl)

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6
Q

Name examples of cases where case-control studies are useful. (4)

A
  1. Smoking → Lung cancer
  2. Obesity → Diabetes
  3. Rheumatoid arthritis (RA) → Fracture
  4. Knee injury → Knee osteoarthritis (OA)
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7
Q

Are case-control studies used for common outcomes?

A

Case-control studies not used for common outcome.
–> instead: cross-sectional studies (sample that has), cohort design (at risk)

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8
Q

Flow Chart
What type of study design are case-control studies?

A

Analytical –> Observational –> Case-Control Studies

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9
Q

Flow Chart
What is the difference between cross-sectional and case-control studies?

A

Different questions:
- Cross-sectional: snapshot of what is happening now
- Case-control: what might have caused what we see now (outcome)

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10
Q

Flow Chart
Does time direction matter in case-control studies?

A

Time direction matters: outcome comes first and exposure is second
–> retrospective

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11
Q

What are the 4 majors characteristics of case-control studies?
- type of design
- participation
- focus

A
  1. Observational study design
  2. Retrospective: looks back in time to assess exposure
    –> Exposure must have occurred before the outcome
  3. Participants selected based on outcome:
  4. Focus: Etiology (what caused the outcome)

See NDC p.7 for illustration of retrospective design

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12
Q

How are participants selected based on outcome?

A

Cases = with outcome
Controls = without outcome

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13
Q

What are the 4 key features of case-control studies?
- time
- type of sampling
- selection (smt important)
- measure of association

A
  1. Retrospective exposure assessment
  2. Outcome–based sampling
  3. Careful control selection required – matching to minimize confounding –> same age, sex…
  4. Measure of association: Odds Ratio (OR)
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14
Q

Bias in Case-Control Studies
What are the types of bias?

A
  1. Selection Bias (sampling)
  2. Recall Bias
  3. Confounding Bias
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15
Q

Bias in Case-Control Studies
In what cases can there be selection bias? (2)

A
  1. Cases and controls not from the same population
  2. Controls do not represent the population that produced the cases
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16
Q

Bias in Case-Control Studies
In what cases can there be recall bias? (3)

A
  1. Ascertainment of past exposures can be difficult
  2. Cases remember exposure differently & may overreport prior exposure
  3. Controls underreport exposure or forget exposure
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17
Q

Bias in Case-Control Studies
What can cause confounding bias?

A

Third variable distorting association b/w exposure and outcome.
–> ex: sex division is uneven between groups

18
Q

Bias in Case-Control Studies
Name a design strategy to reduce selection bias.

A
  1. Selection: Select controls from the same source of population as cases
19
Q

Bias in Case-Control Studies
Name some design strategies to reduce recall bias. (2)

A
  1. Avoid emphasizing the exposure of interest
  2. Use same standardized assessment/questionnaires for cases and controls
    –> We don’t want to draw attention to the outcome of interest, to not influence their answers
    BREF: Mask exposure of interest with other questions
20
Q

Bias in Case-Control Studies
Name a design strategy to reduce confounding bias.

A

Match or statistically adjust for key confounders (e.g., age , sex).

21
Q

Selecting Controls
Where do the case and control participants come from?

A

Case an control are determined by the outcome
- case = people with the outcome
- control = people without the outcome

Cases and controls must come from the same source of population.
–> Same place where the cases arose: hospital, clinic

22
Q

Selecting Controls
What are the characteristics of good controls? (3)

A
  1. Represent the population that produced the cases
  2. Have had the same opportunity for exposure
  3. Be proven not to have the outcome

–> Controls are NOT “healthy volunteers by default”, good controls could develop the outcome

23
Q

Bias in Case-Control Studies
Describe matching.
- what
- purpose
- caution

A
  1. Making cases and controls similar on: age, sex, SES
    –> ex: level of education, PA level, place of residence, time of hospitalization, comparable access to healthcare
  2. Purpose: reduce confounding
  3. Avoid overmatching (hides real effect)
    –> don’t match for variables that are caused by the exposure
24
Q

Odds Ratio
What is OR?
Does it give use info about the risk of developing?

A

OR compares odds of exposure in cases vs. controls
–> OR (odds) ≠ Relative Risk (probabilities)

Don’t use “risk” –> used in cohort studies!

25
Odds Ratio Name the significance of OR value. (3)
- OR = 1 → no association b/w exposure and outcome - OR > 1 → Exposure increases the odds - OR < 1 → Exposure decreases the odds BREF: 1 is the “no effect” value for an odds ratio
26
Odds Ratio What is the formula for OR? **NEED TO KNOW
OR = odds of exposure in cases / odds of exposure in controls --> odds of exposure in cases = cases that were exposed/cases that weren't exposed See NDC p.14-15 for table + OR calculation
27
Confidence Intervals (CI) What does it mean if the CI includes 1?
CI includes 1 = not statistically significant
28
Confidence Intervals (CI) What does it mean if the CI is wide? (3)
1. Low precision 2. More uncertainty 3. Estimate of OR is less precise See NDC p.17 for illustration
29
Confidence Intervals (CI) What does it mean if the CI is narrow? (3)
1. High precision 2. More confidence 3. Estimate of OR is more precise See NDC p.17 for illustration
30
Odds Ratio (OR) and Confidence Intervals (CI) Analyze this example. - OR = 1.71 - 95% CI = 0.89-3.29
OR > 1 : risk of outcome is exposed > unexposed BUT CI includes 1 = not statistically significant
31
Logistic Regression When is logistic regression used?
Used when the outcome is binary (case vs control). Lets us look at one main exposure while taking into account other important factors!
32
Logistic Regression What does logistic regression look at? (4)
1. Estimates the odds of being a case 2. Adjust OR to account for confounders 3. Model multiple predictors = Looks at several risk factors at the same time 4. Refine associations
33
Strengths and Limitations What are the strengths of case-control study design? (4)
1. Often used when the outcome is rare (rare disease), and exposure Hx is needed 2. Efficient for early-stage research questions (etiology-based) 3. Less time & cost than cohort studies 4. Ethical for harmful exposures --> ex: we are not exposing subjects to environmental hazard, fall hazard
34
Strengths and Limitations What are the limitations of case-control study design? (3)
1. Cannot calculate incidence 2. Prone to bias (recall bias!!!) 3. Cannot directly establish causality, but raise hypotheses
35
Strengths and Limitations How are case-control study designs ranked according to the Centre for Evidence-Based Medicine?
Level 3B: 3rd worst out of 10 --> moderate level of evidence Lower than: RCTs, cohort studies --> control bias better --> establish cause better See NDC p.20 for illustration
36
Mislabeling What are common mislabelings in the literature? --> ie what study designs are sometimes classified as case-control?
1. Cross-sectional studies: snapshot on time 2. Prognostic cohort studies: current exposure 3. Intervention studies
37
Mislabeling How to identify a study that ISN'T a case-control? (3) What is the right answer in case-control?
Not a case-control if: 1. Group selected by exposure --> case-control select sample based on outcome 2. Exposure and outcome measured at the same time: this is cross-sectional --> in case-control exposure precedes the outcome 3. Intervention assigned: this is experimental --> case-control are observational: no intervention, just exposure
38
Mislabeling What are the negative consequences of mislabeling?
1. Invalid statistical analysis 2. Wrong conclusions 3. Biased interpretations 4. Difficulty replicating or applying findings
39
What makes a good case-control study? (5)
1. Clear etiologic question (PECOT) 2. Clear case and control definition 3. Appropriate control selection --> Appropriate sampling frame and sampling strategy 4. Same exposure measurement 5. Bias acknowledged
40
Name the key points of case-control study design. (6)
1. Outcome first, exposure second --> Sample based on outcome from an underlying population 2. Retrospective (looking back in time) 3. Exposure occurred before the outcome 4. OR + 95% CI as measure of association 5. Powerful but bias-prone 6. Evidence level: moderate
41
See NDC p.26-28 for exercise!
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