1 / 9

Reporting

Reporting. How do we present data in a way that is more helpful for patients/clinicians/regulators/industry to make more informed decisions? Presentations that are interpretable for non-researchers Provide absolute risk AND relative risk summaries

clark-jennings
Download Presentation

Reporting

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Reporting How do we present data in a way that is more helpful for patients/clinicians/regulators/industry to make more informed decisions? Presentations that are interpretable for non-researchers Provide absolute risk AND relative risk summaries Provide reference or “baseline” risk to aid decision-makers Provide risk for alternative therapy or without therapy Provide summaries for each important outcome (benefits AND harms) Group information by outcome severity Visual summaries Measures of variation Heterogeneity of effects

  2. Confidence Intervals for: Risk Difference Relative Risk 0 1

  3. = Boxplot Response Magnitude Big Winner A B Loser 50 0 100 Proportion of responders

  4. Cumulative Distribution Functions Plot risk difference, RR, and NNT (w/ confidence bands) as a function of % pain change (on a common horizontal axis) NNT 0 1 Relative Risk Difference in proportions 0 0 50 100 % Pain Change

  5. Scatterplot Approach w/ Distance Metric Assume benefit and risk each can be measured on a continuous (e.g., 0-10) scale or can be transformed as such Create a scatterplot (benefit vs. risk) based on patient results Fit a smooth “tolerability boundary” through 2 or more points All points on the boundary have equivalent benefit:risk Reduce to one-dimensional analyses by defining a distance function Use the tolerability boundary to standardize the distance Closer to (risk =0, benefit=10) → Benefit:risk ↑

  6. Patient Level Measures Patients rate their overall experience with respect to perceived benefit and risk Possibly useful for therapies to treat symptoms (e.g., pain) when “risks” are recognizable to the participant Problematic when symptoms do not equate with risk i.e., silent risk of abnormal labs (e.g., LFTs, bilirubin)

  7. Example: Scatterplot Approach: ACTG A5252 • A5252: Study evaluating therapies for neuropathic painBenefit: Pain(measured 0-10)Risk: “how bothersome were the side effects?” (0-10) • Define tolerability boundary based on 3 points: • Minimum tolerable benefit when risk = 0 (b1) • Maximum tolerable risk when benefit = 10 (r1) • Minimum tolerable benefit when risk = r1/2 (b2)

  8. Partition plane into regions of interest and summarize the proportion that fall into these regions ? May be acceptable with a very serious disease with no known cure ? May not be acceptable with a disease that is not life-threatening and other effective and safe treatment options are available WINNER ? BENEFIT LOSER RISK 

  9. Absolute vs. Relative Risk Do both as interpretation depends on both. Implications for safety NI trials and rare event trials Excellent discussion: Wei et.al. Food and Drug Law: Regulation and Education Update. January/February 2011

More Related