2007
DOI: 10.1200/jco.2006.06.1218
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Multi-Institutional Validation of a New Renal Cancer–Specific Survival Nomogram

Abstract: The new nomogram is more contemporary, provides predictions that reach further in time and, compared with its alternative, which predicts at 2 and 5 years, generates 3.1% and 2.8% more accurate predictions, respectively.

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Cited by 493 publications
(321 citation statements)
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“…Multivariate analysis was used to independently evaluate predictors of cancer outcomes and the present study did not identify obesity as a predictor of recurrence or cancer mortality, despite considering multiple BMI definitions of obesity and other known predictive variables. Predictors of all-cause and cancer mortality in the present study included the presence of distant metastases and tumour grade, similar to other studies [27]. The presence of venous thrombus, tumour grade and RENAL nephrometry score were independent predictors of cancer recurrence in patients without metastatic disease at presentation.…”
Section: Discussionsupporting
confidence: 88%
“…Multivariate analysis was used to independently evaluate predictors of cancer outcomes and the present study did not identify obesity as a predictor of recurrence or cancer mortality, despite considering multiple BMI definitions of obesity and other known predictive variables. Predictors of all-cause and cancer mortality in the present study included the presence of distant metastases and tumour grade, similar to other studies [27]. The presence of venous thrombus, tumour grade and RENAL nephrometry score were independent predictors of cancer recurrence in patients without metastatic disease at presentation.…”
Section: Discussionsupporting
confidence: 88%
“…[4][5][6][7] Currently, a prediction of patient survival is based on traditional clinical parameters, including tumor size and Fuhrman nuclear grade. 8 However, the emerging understanding of the molecular pathways implicated in CC-RCC genesis and progression is providing previously unappreciated markers, which may serve as additional or better prognostic indicators of CC-RCC.…”
mentioning
confidence: 99%
“…12,13 Statistical predictive models are available for many types of cancer that supply reliable prognostic information for individual patients. [14][15][16] In the recent musculoskeletal oncology literature, nomograms have become a clinically accepted tool with which to predict survival in patients with STS. [17][18][19] The model developed herein and presented as a clinical nomogram was based on multiple logistic regression analysis of clinical factors within our study group.…”
Section: Discussionmentioning
confidence: 99%