Publications by authors named "Job Nicolaas Doornberg"
Article Synopsis
- This systematic review examines how radiographs and different imaging techniques (2D and 3D) affect the agreement among doctors when classifying tibial plateau fractures using six common classification systems.
- Fourteen studies were analyzed, revealing that 2D CT improved agreement in one case, but overall, the effectiveness varied widely, while 3D CT sometimes decreased agreement for the Schatzker classification.
- The findings suggest that 2D CT is beneficial for certain classifications, while the role of 3D CT remains unclear, leading to the conclusion that it is not recommended for classifying these fractures.
Development and internal validation of a clinical prediction model using machine learning algorithms for 90 day and 2 year mortality in femoral neck fracture patients aged 65 years or above.
Jacobien Hillina Froukje Oosterhoff Angelique Berit Marte Corlijn Savelberg Aditya Vishwas Karhade Benjamin Yaël Gravesteijn Job Nicolaas Doornberg
Eur J Trauma Emerg Surg
December 2022
Purpose: Preoperative prediction of mortality in femoral neck fracture patients aged 65 years or above may be valuable in the treatment decision-making. A preoperative clinical prediction model can aid surgeons and patients in the shared decision-making process, and optimize care for elderly femoral neck fracture patients. This study aimed to develop and internally validate a clinical prediction model using machine learning (ML) algorithms for 90 day and 2 year mortality in femoral neck fracture patients aged 65 years or above.
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