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
Sponsor study identifier
observational
70
1 country
1
Study Start
October 5, 2020
Actual (reported)Primary Completion
June 27, 2023
Actual (reported)Study Completion
December 6, 2024
Actual (reported)To adopt a machine learning technique to decide whether operative or non-operative treatment will result in the best patient-outcome.
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
December 6, 2024
Actual (reported)Click on a node to explore related trials.
Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
October 5, 2020
Actual (reported)July 16, 2021
Actual (reported)July 30, 2021
Actual (reported)June 27, 2023
Actual (reported)December 6, 2024
Actual (reported)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
Clinical factors
1 year
Radiological factors
1 year
Patients of UZ Leuven
UZ Leuven
Leuven, Vlaams-Brabant, 3000, Belgium
Harm Hoekstra, Prof. MD
UZ Leuven
70 participants (actual enrollment reported by the registry).
First Submitted
July 16, 2021
First Posted
July 30, 2021
Study Start
October 5, 2020
Actual (reported)Genicular Nerve Block After Open Reduction Internal Fixation of Tibial Plateau
Contact the study team to confirm eligibility.
Primary Completion
June 27, 2023
Actual (reported)Study Completion
December 6, 2024
Actual (reported)Last Updated
July 29, 2025
Record last verified: 2025-07
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Source: ClinicalTrials.gov.
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