Nomograms provide improved accuracy for predicting survival after radical cystectomy.

Abstract

AIMS:

To develop multivariate nomograms that determine the probabilities of all-cause and bladder cancer-specific survival after radical cystectomy and to compare their predictive accuracy to that of American Joint Committee on Cancer (AJCC) staging.

METHODS:

We used Cox proportional hazards regression analyses to model variables of 731 consecutive patients treated with radical cystectomy and bilateral pelvic lymphadenectomy for bladder transitional cell carcinoma. Variables included age of patient, gender, pathologic stage (pT), pathologic grade, carcinoma in situ, lymphovascular invasion (LVI), lymph node status (pN), neoadjuvant chemotherapy (NACH), adjuvant chemotherapy (ACH), and adjuvant external beam radiotherapy (AXRT). Two hundred bootstrap resamples were used to reduce overfit bias and for internal validation.

RESULTS:

During a mean follow-up of 36.4 months, 290 of 731 (39.7%) patients died; 196 of 290 patients (67.6%) died of bladder cancer. Actuarial all-cause survival estimates were 56.3% [95% confidence interval (95% CI), 51.8-60.6%] and 42.9% (95% CI, 37.3-48.4%) at 5 and 8 years after cystectomy, respectively. Actuarial cancer-specific survival estimates were 67.3% (62.9-71.3%) and 58.7% (52.7-64.2%) at 5 and 8 years, respectively. The accuracy of a nomogram for prediction of all-cause survival (0.732) that included patient age, pT, pN, LVI, NACH, ACH, and AXRT was significantly superior (P=0.001) to that of AJCC staging-based risk grouping (0.615). Similarly, the accuracy of a nomogram for prediction of cancer-specific survival that included pT, pN, LVI, NACH, and AXRT (0.791) was significantly superior (P=0.001) to that of AJCC staging-based risk grouping (0.663).

CONCLUSIONS:

Multivariate nomograms provide a more accurate and relevant individualized prediction of survival after cystectomy compared with conventional prediction models, thereby allowing for improved patient counseling and treatment selection.

• Authors: Shahrokh F Shariat, Pierre I Karakiewicz, Ganesh S Palapattu, Gilad E Amiel, Yair Lotan, Craig G Rogers, Amnon Vazina, Patrick J Bastian, Amit Gupta, Arthur I Sagalowsky, Mark Schoenberg, Seth P Lerner
• Journal: Clinical cancer research : an official journal of the American Association for Cancer Research (Clin Cancer Res) Vol. 12 Issue 22 Pg. 6663-76 (Nov 15 2006) ISSN: 1078-0432 [Print] United States
• PMID: 17121885 (Publication Type: Journal Article, Multicenter Study, Research Support, Non-U.S. Gov't)

Topics

• Adult
• Aged
• Aged, 80 and over
• Carcinoma, Transitional Cell (diagnosis, mortality, surgery, therapy)
• Cystectomy (mortality)
• Disease-Free Survival
• Female
• Humans
• Male
• Middle Aged
• Nomograms
• Prognosis
• Proportional Hazards Models
• Survival Analysis
• Time Factors
• Treatment Outcome
• Urinary Bladder Neoplasms (diagnosis, mortality, surgery, therapy)