Nomograms for Predicting Local Recurrence, Distant Metastases, and Overall Survival for Patients With Locally Advanced Rectal Cancer on the Basis of European Randomized Clinical Trials
Azienda Ospedaliera Universitaria Pisana
Abstract
The nomograms are able to predict events with a c-index for external validation of local recurrence (LR; 0.68), distant metastases (DM; 0.73), and overall survival (OS; 0.70). Pathologic staging is essential for accurate prediction of long-term outcome. Both preoperative CRT and adjuvant chemotherapy have an added value when predicting LR, DM, and OS rates. The stratification in risk groups allows significant distinction between Kaplan-Meier curves for outcome.
The easy-to-use nomograms can predict LR, DM, and OS over a 5-year period after surgery. They may be used as decision support tools in future trials by using the three defined risk groups to select patients for postoperative chemotherapy and close follow-up (http://www.predictcancer.org).
Citation impact
- FWCI
- 13.20
- Percentile
- 100%
- References
- 41
Authors
17- VVVincenzo ValentiniCorresponding
Azienda Ospedaliera Universitaria Pisana
- RGRuud G.P.M. van Stiphout
Azienda Ospedaliera Universitaria Pisana
- GLGuido Lammering
Azienda Ospedaliera Universitaria Pisana
- MAMaria Antonietta Gambacorta
Azienda Ospedaliera Universitaria Pisana
- MBMarta Barba
Azienda Ospedaliera Universitaria Pisana
Topics & keywords
- Nomogram
- Medicine
- Colorectal cancer
- Oncology
- Internal medicine
- Radiation therapy
- Proportional hazards model
- Clinical trial
- Good health and well-being