OpenSimplify (MyAnalyst) Cited in Peer-Reviewed Clinical Study: Here is Why It Matters
- Josh Wright
- Jun 24
- 2 min read
Updated: Jun 26

We are excited to announce that OpenSimplify’s MyAnalyst (Clinical Reports v1.2.0) was recently cited in a peer-reviewed clinical study conducted by researchers at Albert Einstein College of Medicine.
The paper, Clinical Features and Surgical Outcomes in Patients with Symptomatic Carotid Artery Webs, explored risk factors and surgical outcomes using advanced statistical modeling. And they used MyAnalyst to get there.
What Was the Study About?
The researchers aimed to identify predictors of symptomatic carotid artery webs, a rare but serious vascular condition. To do this, they built a Random Forest predictive model with full clinical preprocessing: removing missing values, splitting into train-test sets, and ranking variables by importance.
Statistical work was done in MyAnalyst, our platform built into OpenSimplify and results were confirmed in R.
“All analyses were performed in MyAnalyst (Clinical Reports v1.2.0) and confirmed with R.”— Methods Section, Published Paper
Why This Matters
This citation is more than just a milestone, it shows:
Trust: Our platform is being used in serious, regulated academic settings
Capability: Not just for exploration, but for publishable modeling
Efficiency: Researchers saved time on preprocessing, model building, and output
Validation: External confirmation of results in R strengthens reproducibility
In a world where many tools get stuck in the “sandbox” phase, OpenSimplify is already powering real science.
Study Details
Title: Clinical Features and Surgical Outcomes in Patients with Symptomatic Carotid Artery Webs
Institution: Albert Einstein College of Medicine
Tools Used: OpenSimplify (MyAnalyst v1.2.0)
Methods: Random Forest model, variable importance, 70/30 split
Statistical threshold: p < 0.05
Status: Peer-reviewed publication

What’s Next?
This citation is a powerful signal that OpenSimplify is not only helpful, it is credible.
We are continuing to:
Support clinicians and researchers with modeling tools
Accelerate time-to-insight
Deliver results worthy of peer review and with zero code
If you are working on clinical, epidemiological, or health outcomes research, we’d love to help.
Try OpenSimplify Now
Exciting. Would be interested to use the tool in Endo