Unknown

Dataset Information

0

Nomogram-based Prediction of Overall Survival in Patients with Metastatic Urothelial Carcinoma Receiving First-line Platinum-based Chemotherapy: Retrospective International Study of Invasive/Advanced Cancer of the Urothelium (RISC).


ABSTRACT: The available prognostic models for overall survival (OS) in patients with metastatic urothelial carcinoma (UC) have been derived from clinical trial populations of cisplatin-treated patients.To develop a new model based on real-world patients.Individual patient-level data from 29 centers were collected, including metastatic UC and first-line cisplatin- or carboplatin-based chemotherapy administered between January 2006 and January 2011.First-line, platinum-based, combination chemotherapy.The population was randomly split into a development and a validation cohort. Generalized boosted regression modelling was used to screen out irrelevant variables and address multivariable analyses. Two nomograms were built to estimate OS probability, the first based on baseline factors and platinum agent, the second incorporating objective response (OR). The performance of the above nomograms and that of other available models was assessed. We plotted decision curves to evaluate the clinical usefulness of the two nomograms.A total of 1020 patients were analyzed (development: 687, validation: 333). In a platinum-stratified Cox model, significant variables for OS were performance status (p<0.001), white blood cell count (p=0.013), body mass index (p=0.003), ethnicity (p=0.012), lung, liver, or bone metastases (p<0.001), and prior perioperative chemotherapy (p=0.012). The c-index was 0.660. The distribution of the nomogram scores was associated with OR (p<0.001), and incorporating OR into the model further improved the c-index in the validation cohort (0.670).We developed and validated two nomograms for OS to be used before and after completion of first-line chemotherapy for metastatic UC.We proposed two models for estimating overall survival of patients with metastatic urothelial carcinoma receiving first-line, platinum-based chemotherapy. These nomograms have been developed on real-world patients who were treated outside of clinical trials and may be used irrespective of the chemotherapeutic platinum agent used.

SUBMITTER: Necchi A 

PROVIDER: S-EPMC5576985 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Nomogram-based Prediction of Overall Survival in Patients with Metastatic Urothelial Carcinoma Receiving First-line Platinum-based Chemotherapy: Retrospective International Study of Invasive/Advanced Cancer of the Urothelium (RISC).

Necchi Andrea A   Sonpavde Guru G   Lo Vullo Salvatore S   Giardiello Daniele D   Bamias Aristotelis A   Crabb Simon J SJ   Harshman Lauren C LC   Bellmunt Joaquim J   De Giorgi Ugo U   Sternberg Cora N CN   Cerbone Linda L   Ladoire Sylvain S   Wong Yu-Ning YN   Yu Evan Y EY   Chowdhury Simon S   Niegisch Gunter G   Srinivas Sandy S   Vaishampayan Ulka N UN   Pal Sumanta K SK   Agarwal Neeraj N   Alva Ajjai A   Baniel Jack J   Golshayan Ali-Reza AR   Morales-Barrera Rafael R   Bowles Daniel W DW   Milowsky Matthew I MI   Theodore Christine C   Berthold Dominik R DR   Daugaard Gedske G   Sridhar Srikala S SS   Powles Thomas T   Rosenberg Jonathan E JE   Galsky Matthew D MD   Mariani Luigi L  

European urology 20161008 2


<h4>Background</h4>The available prognostic models for overall survival (OS) in patients with metastatic urothelial carcinoma (UC) have been derived from clinical trial populations of cisplatin-treated patients.<h4>Objective</h4>To develop a new model based on real-world patients.<h4>Design, setting, and participants</h4>Individual patient-level data from 29 centers were collected, including metastatic UC and first-line cisplatin- or carboplatin-based chemotherapy administered between January 20  ...[more]

Similar Datasets

| S-EPMC10632822 | biostudies-literature
| S-EPMC4931368 | biostudies-literature
| S-EPMC5945658 | biostudies-literature
| S-EPMC6814293 | biostudies-literature
| S-EPMC3167019 | biostudies-literature
| S-EPMC9441572 | biostudies-literature
| S-EPMC8446569 | biostudies-literature
| S-EPMC3833211 | biostudies-literature
| S-EPMC6827133 | biostudies-literature
| S-EPMC8649023 | biostudies-literature