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Smart math could help spot High-Risk heart surgery patients

NCT ID NCT06812624

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study looked at 485 patients who had coronary artery bypass surgery to see if a computer method called fuzzy logic could better predict who is at risk of dying. Fuzzy logic is a way to handle uncertain information, similar to how doctors think. The goal is to create a tool that helps identify high-risk patients early so that doctors can take steps to improve their chances.

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 could lead to a better way to identify high-risk heart surgery patients, helping doctors take precautions to reduce deaths.
What could go wrong
This is a small, retrospective study using existing records, not a controlled trial. The fuzzy logic model may not work in other hospitals or countries.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

485 people

The number who actually took part.

Started

Dec 2024

Finished

Dec 2025

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Over 18 year of age, all isolated coronary artery bypass surgery between January 1, 2020 and July 31, 2024 at IUC Cardiology Institute hospital

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * All isolated coronary artery bypass surgery between January 1, 2020 and July 31, 2024 at IUC Cardiology Institute hospital Exclusion Criteria: * All surgical procedures other than isolated coronary artery bypass surgery and patients under the age of 18 were excluded

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Locations

  • Istanbul University-Cerrahpaşa

    Istanbul, Turkey (Türkiye)

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Other studies related to the condition(s) this trial covers.