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Harm and Causation: When Bad Things Happen to Good Studies - PowerPoint PPT Presentation

Harm and Causation: When Bad Things Happen to Good Studies DANIELLA ZIPKIN, MD KEN GOLDBERG, MD Cohort Study Exposure Outcome Case Control Study + _ Exposure Outcome Exposure Outcome Confounding Type II Diet Diabetes Soda


  1. Harm and Causation: When Bad Things Happen to Good Studies DANIELLA ZIPKIN, MD KEN GOLDBERG, MD

  2. Cohort Study Exposure Outcome

  3. Case Control Study + _ Exposure Outcome

  4. Exposure Outcome

  5. Confounding Type II Diet Diabetes Soda Exposure Outcome

  6. Confounding Have to think of it Have to measure it Have to quantify it Adjustment occurs in a regression analysis

  7. Validity in a Cohort study Does everyone in the study begin and end with the same chance of having the outcome develop, aside from the exposure of interest?

  8. What does it mean for everyone to have an equal chance of the outcome? (1) Were patients similar for prognostic factors that are known to be associated with the outcome (or did statistical adjustment address the imbalance?) (2) Were the circumstances and methods for detecting the outcome similar? (3) Was follow-up sufficiently complete? Accounted for drop outs?

  9. Let’s assess the validity of this paper together!

  10. Hazard Ratio as an alternative to Risk Ratio

  11. D efine “risk” (or event rate): RISK = N event /Total N

  12. A little about Survival Analysis 11 10 9 8 7 Subject Number 6 5 4 3 2 1 0 2 4 6 8 10 12 14 16 18 20 Time since trial start

  13. Survival Analysis 2 11 10 9 8 7 Subject Number 6 5 4 3 2 1 0 2 4 6 8 10 12 14 16 18 20 Time since enrollment

  14. Events Time Imagine two studies which end up at the same place, but take very different paths to getting there…

  15. Events Time The HAZARD RATIO is equivalent to the RISK RATIO at any point in time

  16. Define Hazard Ratio: HR = “RR at any point in time during the study”

  17. An Example: My hairdresser’s dilemma “Can I ask you a doctor question?”

  18. Odds ratios and risk ratios

  19. D efine “risk” (or event rate): 1 RISK = N event /Total N 3 D efine “odds”: ODDS = N event /N without event

  20. Time to play with numbers…

  21. The Case: Your “friend” has just been through a grueling week immersed in this strange way of life called “EBM”. Your friend is exhausted. Your friend needs a drink. But your friend has a golf game scheduled for tomorrow at 8am and really does not want to be hungover. Which bar should your friend go to in order to minimize the chances of being hungover ? You don’t know the answer yet, but to prepare for next year you run a study: You post a study assistant at the door to the two most popular watering holes in the area and enroll volunteers who will accept a call the next day to get the hangover report. Over the course of 3 months you enroll 100 people at each bar.

  22. Sample teaching abstracts

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