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.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for MORTALITY PREDICTION are added.
By submitting, you agree to our Terms of use
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
Asan Medical Center, University of Ulsan College of Medicine
Seoul, 05505, South Korea
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Could a simple blood test flag lung risk in preemies?
- AI model could predict who needs a lung transplant for rare emphysema
- New study aims to predict survival in respiratory care units
- Fall risk calculator could save lives by predicting who needs urgent care
- New screening tool aims to catch hidden need for palliative care in hospitals
- Can a simple ultrasound and blood test spot who will be back in the hospital?