Probability of Discovering New Cancer Treatments

Duarte, CA US
January 28, 2021

Enrollment of patients and discovery of new treatment depends on the estimate of the probability of treatments tested in clinical trials but most physicians overestimate such a probability. There is a lack of knowledge of factors that determine the probability of treatment success. 

Currently, most physicians overestimate treatment success when tested in clinical trials. As a result, the patients may be enrolled in trials with unrealistic expectations, which may result in unnecessary harms. Similarly, funders of clinical trials may invest in studies based on overoptimistic assessments. By learning about factors that determine the probability of treatment success, the clinicians and investigators can close knowledge gap that presents a key barrier to optimal evaluation of interventions in clinical trials. This, in turn, will result in more optimal enrollment of patients in clinical trials, and optimal discovery of new treatments.

 

Target Audience

All physicians who discuss new treatments with patients and all clinical investigators. 

Learning Objectives

  • Examine the probability of treatment success in phase 3 trials and probability of success in single arm trials.  
  • Outline the taxonomy of clinical uncertainties.
  • Identify the relationship between treatment success and ethical foundation of clinical research.

Additional Information

AttachmentSize
AB 1195 Bibliography157.34 KB
Activity summary
Available credit: 
  • 1.00 AMA PRA Category 1 Credit™
    City of Hope is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
    City of Hope designates this Probability of Discovering New Cancer Treatments for a maximum of 1.00 AMA PRA Category 1 Credit™ requirements. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
  • 1.00 Attendance
Activity opens: 
01/28/2021
Activity expires: 
02/04/2021
Event starts: 
01/28/2021 - 11:00am
Event ends: 
01/28/2021 - 12:00pm
City of Hope
1500 E Duarte Rd
Duarte, CA 91010
United States

Virtual Meeting- Zoom

Benjamin Djulbegovic, MD, PhD Professor & Director of Evidence-based Medicine & Comparative Effectiveness Research, Department of Computational & Quantitative Medicine Division of Health Analytics, BRI; City of Hope

Dr Djulbegovic has indicated he has nothing to disclose.

ACCREDITATION STATEMENT: City of Hope is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

CREDIT DESIGNATION: City of Hope designates this live activity for a maximum of 1.0 AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation in the activity. 

The following credit type(s) are being offered for this course:

 AMA PRA Category 1™  1.0

The following may apply AMA PRA Category 1 Credit™ for license renewal:

Registered Nurses: Nurses may report up to 1.0 credit hours toward the continuing education requirements for license renewal by their state Board of Registered Nurses (BRN). AMA PRA Category 1 Credit™ may be noted on the license renewal application in lieu of a BRN provider number.

Physician Assistants: The National Commission on Certification of Physicians Assistants states that AMA PRA Category 1 Credit™ accredited courses are acceptable for CME requirements for recertification.

Available Credit

  • 1.00 AMA PRA Category 1 Credit™
    City of Hope is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
    City of Hope designates this Probability of Discovering New Cancer Treatments for a maximum of 1.00 AMA PRA Category 1 Credit™ requirements. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
  • 1.00 Attendance
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