Derivation and External Validation of the "FORECAST-PC" Prediction Scores
FORECAST-PC
Machine Learning Models Predict 90-Day Functional Outcome in Posterior Circulation Thrombectomy: Derivation and External Validation of the "FORECAST-PC" Prediction Scores
1 other identifier
observational
732
1 country
1
Brief 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)
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2015
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2015
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2024
CompletedFirst Submitted
Initial submission to the registry
August 2, 2026
CompletedFirst Posted
Study publicly available on registry
August 6, 2026
CompletedAugust 6, 2026
August 1, 2026
10 years
August 2, 2026
August 2, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Unfavorable Functional Outcome at 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).
90 days
Study Arms (2)
Derivation cohort
Patients with PC stroke selected for EVT from three primary training centers (Lausanne University Hospital, Bern University Hospital, and Charité-Universitätsmedizin Berlin).
External Validation Cohort
Unseen patients with PC stroke selected for EVT from 11 independent, world-wide comprehensive stroke centers
Interventions
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.
Eligibility Criteria
The study population comprises adult patients (older than 18 years) presenting with acute ischemic stroke (AIS) attributed to a radiologically confirmed posterior circulation large vessel occlusion. These individuals were treated at 14 international comprehensive stroke centers, with initial participation rooted in the European EVA-TRISP network. Patients were included if they were selected for endovascular thrombectomy (EVT) within 24 hours of the last known well time, regardless of whether they received prior intravenous thrombolysis (IVT) or were managed via mothership or drip-and-ship pathways. Participants were required to have a pre-stroke modified Rankin Scale (mRS) of 0 to 3. The cohort explicitly excludes patients whose strokes occurred in-hospital, patients treated beyond the 24-hour window, and patients treated prior to 2015.
You may qualify if:
- 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
You may not qualify if:
- 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)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Centre Hospitalier Universitaire Vaudois
Lausanne, 1010, Switzerland
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Dr. med., MD-PhD, MERc-PD
Study Record Dates
First Submitted
August 2, 2026
First Posted
August 6, 2026
Study Start
January 1, 2015
Primary Completion
December 31, 2024
Study Completion
December 31, 2024
Last Updated
August 6, 2026
Record last verified: 2026-08