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OpenSimplify (MyAnalyst) Cited in Peer-Reviewed Clinical Study: Here is Why It Matters

Updated: Jun 26

Screenshot showing a peer-reviewed study titled 'Clinical Features and Surgical Outcomes in Patients with Symptomatic Carotid Artery Webs', citing OpenSimplify (MyAnalyst) as the analytical tool.
opensimplify in journal of vascular surgery

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


Screenshot showing OpenSimplify (MyAnalyst) platform cited in a peer-reviewed study on carotid artery webs, highlighting its significance in clinical research.
opensimplify cited in a peer-reviewed journal

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


1 Comment


Jsmith
Jsmith
Jun 24

Exciting. Would be interested to use the tool in Endo

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