Better Ways to Use Markers for Diabetes Care
Robust Statistical Methods to Identify and Use Surrogate Markers in Diabetes
This work aims to develop improved statistical tools to help doctors and researchers quickly understand if new diabetes treatments are working for patients.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Texas at Austin NIH-funded |
| Lab location | 1 site (Austin, United States) |
| Project ID | NIH-11178547 on NIH RePORTER |
What this research studies
Many Americans live with diabetes, a condition that can lead to serious health problems like heart disease and stroke. When new treatments are developed, it often takes a long time to see if they truly help patients in the long run. This project focuses on creating more reliable ways to use 'surrogate markers' – early signs or measurements – to predict how well a treatment might work. By improving these methods, we hope to make faster and more accurate decisions about which treatments are most effective for different groups of patients.
Who could benefit from this research
Good fit: This research is foundational and does not directly involve patient participation, but it aims to benefit all individuals living with diabetes by improving future clinical trials.
Not a fit: Patients not currently affected by diabetes or those not participating in future clinical trials that utilize these statistical methods may not directly benefit.
Why it matters
Potential benefit: If successful, this work could lead to quicker identification of effective diabetes treatments and more personalized care for patients.
How similar studies have performed: While statistical methods for surrogate markers exist, this work aims to develop novel, more robust approaches, especially for identifying benefits in specific patient subgroups.
Where this research is happening
Austin, United States
- University of Texas at Austin — Austin, United States (Active)
Researchers
- Principal investigator: Parast, Layla — University of Texas at Austin
- Study coordinator: Parast, Layla
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.