Study Stopped
Not enough capacity for recruitment
TPF Machine Learning Algorithms
Operative or Nonoperative Management of Tibial Plateau Fractures? Application of Machine Learning Algorithms to Assist in Treatment Decision
1 other identifier
observational
70
1 country
1
Brief Summary
To adopt a machine learning technique to decide whether operative or non-operative treatment will result in the best patient-outcome.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Oct 2020
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
October 5, 2020
CompletedFirst Submitted
Initial submission to the registry
July 16, 2021
CompletedFirst Posted
Study publicly available on registry
July 30, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 27, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
December 6, 2024
CompletedJuly 29, 2025
July 1, 2025
2.7 years
July 16, 2021
July 25, 2025
Conditions
Outcome Measures
Primary Outcomes (1)
Machine learning algorithm
To identify the most suitable machine learning algorithm that predicts the best treatment for future patients. The prediction will be improved over time by additional input.
1 year
Secondary Outcomes (2)
Clinical factors
1 year
Radiological factors
1 year
Eligibility Criteria
Patients of UZ Leuven
You may qualify if:
- Age \> 18 years
- Proximal tibia plateau fracture
- Patient is able to attend follow-up visits
You may not qualify if:
- Age \< 18 years
- Bilateral fractures
- Neurologic disorders (ie paraplegia, CVA, dementia etc.)
- Not understanding Dutch or English
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
UZ Leuven
Leuven, Vlaams-Brabant, 3000, Belgium
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Harm Hoekstra, Prof. MD
UZ Leuven
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Prof. dr. Harm Hoekstra
Study Record Dates
First Submitted
July 16, 2021
First Posted
July 30, 2021
Study Start
October 5, 2020
Primary Completion
June 27, 2023
Study Completion
December 6, 2024
Last Updated
July 29, 2025
Record last verified: 2025-07