Can a simple model predict who will survive surgery? study of 640,000 patients says maybe.
NCT ID NCT07188636
First seen Jun 26, 2026 · Last updated Jun 26, 2026 · Updated 1 time
Summary
Researchers analyzed data from over 640,000 adults who had non-cardiac surgery to create a model that predicts the chance of dying within 30 days, 180 days, and one year after surgery. The model uses information from hospital records and national death registries. This study is complete and aims to give doctors a simple tool to identify high-risk patients.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
What this could lead to
If successful, this model could help doctors better identify patients at high risk of dying after surgery, potentially improving care and saving lives.
What could go wrong
This is a retrospective study, so the model may not work as well in new groups of patients. It only predicts risk, it does not prevent deaths.
Disclaimer
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Locations
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Asan Medical Center, University of Ulsan College of Medicine
Seoul, 05505, South Korea