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OpenTrials
Completed

NCT Number: NCT07750015

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

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)

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Key information

About this study

Outcome prediction after endovascular treatment (EVT) for posterior circulation (PC) acute ischemic stroke remains challenging, as current prognostic tools are often limited strictly to basilar artery occlusions or rely heavily on anterior circulation data. The FORECAST-PC study is an investigator-initiated, retrospective, international multicenter cohort study designed to develop and validate comprehensive PC outcome prediction models across key stages of the clinical pathway: Baseline, Pre-EVT, Immediately Post-EVT, and 24-hours Post-EVT. The models are derived from patients across three European centers and externally validated on an unseen cohort from 11 international centers to ensure robustness against geographic domain shifts and variations in clinical workflows. The clinical utility of these models is assessed using Decision Curve Analysis to demonstrate the net benefit of model-guided prognostication over standard clinical assumptions.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Age > 18 years
  • Presentation with acute ischemic stroke (AIS) attributed to a radiologically confirmed posterior circulation occlusion
  • Selected for Endovascular Thrombectomy (EVT) according to the treating physician
  • Pre-stroke modified Rankin Scale (mRS) 0-3
  • EVT initiated or attempted within 24-hours of the last known well (LKW) time
  • Includes cases with/without prior intravenous thrombolysis (IVT), mothership, and drip-and-ship pathways

Exclusion criteria

  • EVT carried out beyond 24 hours from stroke onset
  • EVT performed secondarily after in-hospital worsening or stroke recurrence
  • In-hospital strokes (to avoid the confounding influence of prior systemic comorbidities and the acute event that necessitated initial admission)
  • Missing primary outcome data
  • Inconsistencies between descriptive dependence status and raw pre-stroke mRS
  • Stroke cases occurring prior to 2015 (to account for major changes in endovascular treatment techniques)

Treatment and study plan

FORECAST-PC Prediction Models

Other

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.

Primary outcomes

  1. Unfavorable Functional Outcome at 90 Days

    Time frame: 90 days

    Defined as a dichotomized 90-day modified Rankin Scale (mRS) score of 3 to 6 (where 0-2 is favorable and 3-6 is unfavorable).

Sponsors and collaborators

Lead sponsor

Dr. med. Alexander Salerno, MD-PhD

Other

Registry information

Official study title

Machine Learning Models Predict 90-Day Functional Outcome in Posterior Circulation Thrombectomy: Derivation and External Validation of the "FORECAST-PC" Prediction Scores

Acronym: FORECAST-PC

Important dates

Study start
2015
Primary completion
2024
Study completion
2024
First posted
Aug 6, 2026
Registry last updated
Aug 6, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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