Epidemiology 2200B - Observational Studies Detailed Notes

Epidemiology 2200B - Introduction to Epidemiology

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  • Course Title: Epidemiology 2200B
  • Course Type: Introduction to Epidemiology
  • Instructor: Dr. MK Campbell
  • Date: February 11, 2025
  • Institution: Western

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  • Topics to be covered today (Feb. 11):

    1. Case Reports and Case Series
    2. Ecological Study (can be descriptive or analytic)
    3. Cross-sectional studies (can be descriptive or analytic)
    4. Case-control studies
  • Next class (Feb 25):

    • Cohort studies
  • Mid-Term Examination: Will be discussed at the end of the class.

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  • Hierarchy of Evidence:
    • Common figure often referenced - weight of evidence based on study design and conduct.
    • Important to think of it as a hierarchy of bias risk that needs to be controlled.

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1. Case Reports and Case Series

  • Case Reports:
    • Describe “new” illnesses observed, often in a single practice.
    • No defined population.
    • Suggest common features among patients.
    • Alerts health professionals about similar cases.

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Hypothesis Generation from Case Reports

  • Example:
    • MMWR (1981): Five cases of Pneumocystis pneumonia among healthy young men in LA with lab-confirmed cytomegalovirus and candidal infections.
    • Led to early investigations proposing drug-related causes.
    • This built foundation for recognizing AIDS in 1982 with subsequent CDC reports clarifying HIV as the causative agent by 1984.

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Case Reports and Case Series: Uses & Limitations

  • Uses:

    • Suggest common features and generate hypotheses regarding etiology.
  • Limitations:

    • Lack of comparison group.
    • External validity challenges.
    • Potential confounding variables affecting associations.

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2. Ecological Studies

  • Focuses on groups/populations rather than individuals.
  • Example: exposure measured at population level, e.g., BCG vaccine coverage and COVID-19 mortality.

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Group-level Exposure & Outcome

  • Research shows countries with high BCG vaccination rates have lower COVID-19 mortality rates.

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Ecological Fallacy

  • Misinterpretation occurs when assuming ecological associations apply at the individual level.
  • Important to align target inferences with the level of analysis to avoid this fallacy.

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Rationale for Ecological Studies

  • Low cost and convenient.
  • Hypothesis generation.
  • Useful when variation within groups is minimal.

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3. Cross-Sectional Studies

  • Provide a “snapshot” in time; can be descriptive or analytic.
  • Collect data on multiple characteristics at a single point in time.
  • Example: link between physical activity and Coronary Heart Disease (CHD).

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Cross-Sectional Study Design

  • Population or sample selection (often random).
  • Data on exposure and outcomes collected simultaneously.

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Data Presentation Methodology

  • Can present findings in a 2 by 2 table to estimate exposure and disease prevalence among groups.

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Example Analysis

  • Analyzing activity vs. CHD prevalence; cannot assume etiology due to cross-sectional nature.

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Cautions in Cross-Sectional Studies

  • Inability to infer causality due to simultaneous assessment of exposure and disease; confusion about the direction of associations.

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4. Case-Control Studies

  • In-depth analysis of design, biases, matching, specifics on when to use.

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Case-Control Design Overview

  • Sample based on disease presence; look back for prior exposure.

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Cases vs. Controls

  • Cases: individuals with the health outcome; requires clear disease definition.
  • Controls: representative subjects reflective of exposure history.

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Case-Control Design Table Example

  • Select cases and controls; measure past exposure for the study outcomes.

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Classic Example: Smoking and Lung Cancer Study (Doll and Hill, 1952)

  • First case-control study focusing on lung cancer and smoking associations.

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Results and Conclusions

  • Findings suggest high smoking prevalence among lung cancer patients but may not infer incidence due to design limitations.

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Dose-Response Relationship

  • Critical to investigate exposure levels and their effects in any epidemiological study.

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Presentation of Non-Exposed Group Information

  • Analysis of the control groups in terms of exposure characteristics.

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Information Bias in Case-Control Studies

  • Differing exposure data acquisition can lead to biases and inaccuracies in study results.

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Selection Bias Explanation

  • Occurs when the exposure history for participants does not represent the general population.

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Case Source Selection Issues

  • Differing participation rates and characteristics can introduce bias; hospitals and disease registries count.

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Prevalent vs. Incident Cases

  • Distinction crucial for identifying disease risk factors and participant timing considerations.

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Controls Representation

  • Controls should reflect the typical exposure experience of the population.

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Unique Potential Biases from Various Control Sources

  • Hospitalized vs. non-hospitalized control characteristics can alter exposure assessments significantly.

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Information Bias Types

  • Quality of collected data from interviews vs medical records; risk of recall bias.

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Minimizing Recall Inaccuracies

  • Supplement recall data, use standardized interviews, and manage subject knowledge.

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Matching in Case-Control Studies

  • Importance of matching to control for confounding variables affecting outcomes.

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Group Matching Challenges

  • Ensuring proportional representation can be difficult; need for similar characteristic distributions.

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Individual Matching Approach

  • Matching controls during case selection can potentially balance demographic disparities.

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Challenges of Matching and Limitations

  • Limitations in factors matched on and their impact on study outcomes.

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Multiple Controls Usage

  • Use for enhanced sample size and reliability in findings; comparisons with diverse control types.

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Case-Control Study Design Considerations

  • Addressing when case-control studies are most warranted, especially for rare conditions.

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Case-Crossover Design

  • Use for acute events where individual subjects serve as their controls for previous exposure comparison.

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Case-Crossover Design Methodology

  • Reliant on accurate recall over different periods pre-incident.

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Case-Crossover Design Example Visualization

  • Comparative timelines displayed in controlled study formats.

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Example: Epidemic of Blindness Exploration

  • Early case reports initiated subsequent studies on new conditions.

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Natural History of RLF Study Methodology

  • Tracking premature infant health over time to correlate risk factors.

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Ecological Study on RLF Treatments

  • Treatment protocols showed associations with rates of RLF in hospital settings.

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Case-Control Study Insights on RLF

  • Data comparison showed nursery stays linked to RLF outcomes while still questioning etiology.

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Experimental Approach to RLF

  • 1953-54 trials to assess oxygen levels furnished crucial evidence on RLF incidence reduction.

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Post-Trial Outcome Implications

  • Recommendations shifted clinical practices dramatically curtailing RLF incidence.

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Continuing Relevance of ROP

  • Discussions surrounding ROP emphasize the need for careful treatment protocols for premature infants.

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Questions and Comments Session

  • Open floor for student discussions and inquiries.

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Mid-Term Examination Details

  • Review of exam materials and protocols for upcoming tests.

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Exam Format Preview

  • Upcoming exam structure, mix of questions, and content coverage outlined for students.