Just Enough Statistics: A Primer on Interpreting Medical Literature for the Practicing Clinician

Bonus Session Available in Congress Digital

Location: Congress Digital

CE: 2.0

Bonus CE Session Moderator(s)

JC

Jen-Ting Chen, MD, MS (she/her/hers)

UCSF Health
San Francisco, California
Michael Lanspa, MD, MS, FCCM (he/him/his)

Director, Critical Care Echocardiography Service
Intermountain Healthcare
Salt Lake City, UT

How do you separate high-quality studies from poor-quality ones? Clinicians are expected to interpret studies despite often receiving little formal training. This session offers a primer for the practicing clinician in how to interpret studies, addressing concepts such as bias, censoring, power, and confounding. Real examples from the critical care literature will be used. No math is necessary! This session will also offer some resources for clinicians who want to get enough bearings to critically interpret a study.

Learning Objectives:

List the common challenges with observational studies
Explain the common challenges that can occur with interventional studies and meta-analyses
Summarize challenges with replicability and generalizability

Presentations:

How to Interpret Interventional Studies
How to Interpret Observational Studies
How to Interpret Big Data
Common Issues of Replicability and Generalizability
Putting It All Together: How I Read a Paper and How You Should as Well