SCCM Resource Library-Translating Preclinical Data Into Practice: Why Therapies for Neurologic Disease Don't Work

Video Transcription

Video Summary

The session on Translating Preclinical Data into Practice discussed the challenges of translating therapies for neurologic diseases from preclinical studies to clinical practice. Dr. Fred Rincone from Thomas Jefferson University emphasized the importance of models in preclinical research and explained how models that do not accurately mimic the human disease state can hinder translation. He also discussed threats to the internal validity of preclinical models, such as lack of randomization and blinding, and the impact this can have on the robustness of the data. Dr. Joshua Levine from Penn Medicine discussed the failures of randomized clinical trials in neuroscience and highlighted problems with trial design, conduct, and analysis. He proposed solutions such as improved patient selection, preclinical testing of therapies that have a robust effect across multiple animal models, and the use of biomarkers to assess target engagement. Dr. Patrick Concannonek from the University of Pittsburgh shared examples of successful translation in neurocritical care, including the use of mild hypothermia in perinatal asphyxia and clot retrieval in stroke. He also discussed the importance of conducting preclinical research with rigorous methods and ensuring target engagement in both animal models and clinical trials. Overall, the session highlighted the need for improved preclinical models, better trial design and conduct, and personalized medicine approaches to increase the translation of therapies for neurologic diseases.

Asset Subtitle

Neuroscience, Quality and Patient Safety, 2020

Asset Caption

The Society of Critical Care Medicine's Critical Care Congress features internationally renowned faculty and content sessions highlighting the most up-to-date, evidence-based developments in critical care medicine. This is a presentation from the 2020 Critical Care Congress held February 16-19, 2020, in Orlando, Florida, USA.

Learning Objectives

Recognize pitfalls in translating data acquired in preclinical models to the clinical setting
Explain ways in which trial design may be responsible for failure to reproduce findings in preclinical models
Describe both preclinical models and the results of clinical trials to advance the field

The Models Are the Problem

Fred Rincon

The Trials Are the Problem

Joshua M. Levine

There Is No Problem; You Just Have to Understand the Challenges and How to Interpret the Data

Patrick M. Kochanek

Meta Tag

Content Type Presentation

Knowledge Area Neuroscience

Knowledge Area Quality and Patient Safety

Knowledge Level Advanced

Membership Level Select

Membership Level Professional

Membership Level Associate

Tag Stroke

Tag Evidence Based Medicine

Year 2020

Keywords

Translating Preclinical Data into Practice

neurologic diseases

preclinical studies

clinical practice

models in preclinical research

internal validity of preclinical models

randomization and blinding

trial design, conduct, and analysis

preclinical testing of therapies

target engagement

personalized medicine approaches

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