Comparing heart disease risk predictions for older patients with diabetes using different data sources
EHR-based vs population-based CVD risk predictions for older patients with diabetes
This study is looking at how well electronic health records can help predict heart disease risk in older adults with diabetes, so that doctors can create better prevention plans just for you.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Weill Medical Coll of Cornell Univ NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project ID | NIH-11213231 on NIH RePORTER |
What this research studies
This research investigates how well electronic health records (EHRs) predict cardiovascular disease (CVD) risk in older patients with diabetes compared to population-based data. By analyzing data from multiple sources, including a nationally representative health survey and extensive EHR networks, the study aims to improve the accuracy of risk predictions. Patients may benefit from more tailored and effective prevention strategies based on these findings. The research will utilize advanced statistical methods to integrate and compare these diverse datasets.
Who could benefit from this research
Good fit: Ideal candidates for this research are older adults with diabetes who are at risk for cardiovascular disease.
Not a fit: Patients who are younger or do not have diabetes may not benefit from the findings of this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate risk assessments for cardiovascular disease in older patients with diabetes, improving prevention and treatment strategies.
How similar studies have performed: Previous research has shown that integrating diverse data sources can enhance the accuracy of health predictions, suggesting this approach may yield valuable insights.
Where this research is happening
New York, United States
- Weill Medical Coll of Cornell Univ — New York, United States (Active)
Researchers
- Principal investigator: Zhong, Hua Judy — Weill Medical Coll of Cornell Univ
- Study coordinator: Zhong, Hua Judy
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.