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Updated: Nov 10, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Nomograms in Urologic Oncology: Lights and Shadows
Alessandro Morlacco1, Daniele Modonutti1, Giovanni Motterle1
1Urology Unit, Department of Surgical, Oncological and Gastroenterological Sciences, University of Padua, 35128 Padua, Italy.
This review examines decision-making tools in urologic oncology, focusing on nomograms. It discusses their use, spread, and limitations in clinical practice for risk assessment.
Area of Science:
- Urologic Oncology
- Medical Decision-Making
- Biostatistics
Background:
- Urologic oncology decision-making integrates complex clinical data.
- Specialization increases challenges for physicians.
- Tools are increasingly used to support clinical judgment.
Purpose of the Study:
- To critically review the use, diffusion, and limitations of nomograms in urologic oncology.
- To analyze the role of mathematical models in clinical decision support.
- To discuss the integration of diverse data in risk assessment tools.
Main Methods:
- Narrative review of existing literature.
- Focus on nomograms as a prevalent decision-making tool.
- Analysis of preoperative and postoperative risk assessment models.
Main Results:
- Nomograms are widely used in urologic oncology for risk prediction.
- These tools integrate clinical, pathological, imaging, and genomic data.
- Nomograms are among the most controversial decision-making tools.
Conclusions:
- Nomograms are frequently employed but face significant controversy in urologic oncology.
- Further evaluation of nomogram accuracy and limitations is necessary.
- The evolution of decision-making tools incorporates advanced data for improved patient care.
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