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Derivation and External Validation of the "FORECAST-PC" Prediction Scores

NCT07750015 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 732

Last updated 2026-08-06

No results posted yet for this study

Summary

This study aims to develop and externally validate machine learning prediction models (FORECAST-PC) to determine 90-day functional outcomes for patients suffering from acute ischemic stroke in the posterior circulation who are selected for endovascular thrombectomy (EVT)

Conditions

  • Posterior Ischemic Stroke
  • Cerebral Infarction
  • Cerebrovascular Disorders

Interventions

OTHER

FORECAST-PC Prediction Models

Application of machine learning gradient-boosted decision tree models (Full-Feature and Light versions) at admission and 24-hours to predict 90-day functional outcome.

Sponsors & Collaborators

  • Dr. med. Alexander Salerno, MD-PhD

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2015-01-01
Primary Completion
2024-12-31
Completion
2024-12-31

Countries

  • Switzerland

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07750015 on ClinicalTrials.gov