New study aims to predict which surgery patients are at highest risk in poorer nations

NCT ID NCT07621198

Not yet recruiting Knowledge-focused Sponsor: Hospital Departamental de Villavicencio Source: ClinicalTrials.gov ↗

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

Summary

This study is building a risk prediction model for major complications and death within 30 days after major surgery, specifically for low- and middle-income countries. Researchers are collecting data on patient health, hospital resources, and safety practices from multiple international centers. The goal is to create a tool that helps doctors identify high-risk patients and improve surgical safety in resource-limited settings.

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 simple tool that helps doctors in low-resource settings identify high-risk patients before surgery, potentially reducing preventable deaths.
What could go wrong: This is an observational study, not a treatment trial. The prediction model may not be accurate enough to change outcomes, and results may not apply to all settings.

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

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As listed by the trial registrant

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

MAJOR SURGERY

Contacts and locations

Locations

Hospital Departamental de Villavicencio

Villavicencio, Meta Department, 50001, Colombia

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