Dr. Odisho on a Risk Prediction Model in Renal Cell Carcinoma

Anobel Odisho, MD
Published Online: Thursday, Jan 05, 2017



Anobel Odisho, MD, urologic oncology fellow, University of Washington, discusses the use of a risk prediction model for patients with renal cell carcinoma (RCC).

Though risk prediction models are generally prevalent in all of medicine and its corresponding research, they can be difficult to apply in a real world setting with patients and the community, Odisho explains.

Odisho and his colleagues thus set out to develop an interactive tool that can make the application of these nomograms more user-friendly. They used the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) criteria, which is validated for patients with metastatic RCC, and created an interactive visualization that displays key criteria and allows a user to make selections and see results in real time. Not only can the user see each of the individual risk predictive factors, but he can also see each individual patient within a cohort, explains Odisho.


Anobel Odisho, MD, urologic oncology fellow, University of Washington, discusses the use of a risk prediction model for patients with renal cell carcinoma (RCC).

Though risk prediction models are generally prevalent in all of medicine and its corresponding research, they can be difficult to apply in a real world setting with patients and the community, Odisho explains.

Odisho and his colleagues thus set out to develop an interactive tool that can make the application of these nomograms more user-friendly. They used the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) criteria, which is validated for patients with metastatic RCC, and created an interactive visualization that displays key criteria and allows a user to make selections and see results in real time. Not only can the user see each of the individual risk predictive factors, but he can also see each individual patient within a cohort, explains Odisho.

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