Advancing Inclusive Research Calculator for Oncology
Author Information
Author(s): David J. Press, James Spencer L., Jolain Bruno, Richie Nicole
Primary Institution: Genentech, A Member of the Roche Group
Hypothesis
How can we improve representation of historically underrepresented patient populations in clinical trials?
Conclusion
The AIR Calculator is a valuable resource for planning clinical studies to improve diversity in participant representation.
Supporting Evidence
- The AIR Calculator uses comprehensive data covering the entire US population.
- It provides representative distributions of clinical study participant numbers based on disease distribution.
- The study emphasizes the importance of accurate benchmarks for improving representation in clinical trials.
- Results should be complemented with data from other sources for a comprehensive understanding.
Takeaway
This study created a tool to help make sure that different types of people are included in cancer research, so everyone can benefit from new treatments.
Methodology
The study developed the AIR Calculator using data from the US Cancer Statistics database, which includes cancer incidence data from 2015-2019.
Potential Biases
Data quality and completeness may vary across different states and regions, potentially affecting the validity of race and ethnicity reporting.
Limitations
The AIR Calculator may not provide detailed information relevant to specific clinical study eligibility criteria and does not account for multiracial individuals.
Participant Demographics
The study focuses on cancer patients in the US, categorized by age, sex, and race/ethnicity.
Statistical Information
P-Value
<0.001
Confidence Interval
95% CI = 1.88–1.93
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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