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Web-Based Tool to Facilitate Shared Decision Making With Regard to Neoadjuvant Chemotherapy Use in Muscle-Invasive Bladder Cancer.
Galsky, Matthew D; Diefenbach, Michael; Mohamed, Nihal; Baker, Charles; Pokhriya, Sumit; Rogers, Jason; Atreja, Ashish; Hu, Liangyuan; Tsao, Che-Kai; Sfakianos, John; Mehrazin, Reza; Waingankar, Nikhil; Oh, William K; Mazumdar, Madhu; Ferket, Bart S.
Afiliação
  • Galsky MD; Matthew D. Galsky, Nihal Mohamed, Charles Baker, Sumit Pokhriya, Jason Rogers, Ashish Atreja, Liangyuan Hu, Che-Kai Tsao, John Sfakianos, Reza Mehrazin, Nikhil Waingankar, William K. Oh, Madhu Mazumdar, and Bart S. Ferket, Icahn School of Medicine at Mount Sinai, New York; and Michael Diefenbach, No
  • Diefenbach M; Matthew D. Galsky, Nihal Mohamed, Charles Baker, Sumit Pokhriya, Jason Rogers, Ashish Atreja, Liangyuan Hu, Che-Kai Tsao, John Sfakianos, Reza Mehrazin, Nikhil Waingankar, William K. Oh, Madhu Mazumdar, and Bart S. Ferket, Icahn School of Medicine at Mount Sinai, New York; and Michael Diefenbach, No
  • Mohamed N; Matthew D. Galsky, Nihal Mohamed, Charles Baker, Sumit Pokhriya, Jason Rogers, Ashish Atreja, Liangyuan Hu, Che-Kai Tsao, John Sfakianos, Reza Mehrazin, Nikhil Waingankar, William K. Oh, Madhu Mazumdar, and Bart S. Ferket, Icahn School of Medicine at Mount Sinai, New York; and Michael Diefenbach, No
  • Baker C; Matthew D. Galsky, Nihal Mohamed, Charles Baker, Sumit Pokhriya, Jason Rogers, Ashish Atreja, Liangyuan Hu, Che-Kai Tsao, John Sfakianos, Reza Mehrazin, Nikhil Waingankar, William K. Oh, Madhu Mazumdar, and Bart S. Ferket, Icahn School of Medicine at Mount Sinai, New York; and Michael Diefenbach, No
  • Pokhriya S; Matthew D. Galsky, Nihal Mohamed, Charles Baker, Sumit Pokhriya, Jason Rogers, Ashish Atreja, Liangyuan Hu, Che-Kai Tsao, John Sfakianos, Reza Mehrazin, Nikhil Waingankar, William K. Oh, Madhu Mazumdar, and Bart S. Ferket, Icahn School of Medicine at Mount Sinai, New York; and Michael Diefenbach, No
  • Rogers J; Matthew D. Galsky, Nihal Mohamed, Charles Baker, Sumit Pokhriya, Jason Rogers, Ashish Atreja, Liangyuan Hu, Che-Kai Tsao, John Sfakianos, Reza Mehrazin, Nikhil Waingankar, William K. Oh, Madhu Mazumdar, and Bart S. Ferket, Icahn School of Medicine at Mount Sinai, New York; and Michael Diefenbach, No
  • Atreja A; Matthew D. Galsky, Nihal Mohamed, Charles Baker, Sumit Pokhriya, Jason Rogers, Ashish Atreja, Liangyuan Hu, Che-Kai Tsao, John Sfakianos, Reza Mehrazin, Nikhil Waingankar, William K. Oh, Madhu Mazumdar, and Bart S. Ferket, Icahn School of Medicine at Mount Sinai, New York; and Michael Diefenbach, No
  • Hu L; Matthew D. Galsky, Nihal Mohamed, Charles Baker, Sumit Pokhriya, Jason Rogers, Ashish Atreja, Liangyuan Hu, Che-Kai Tsao, John Sfakianos, Reza Mehrazin, Nikhil Waingankar, William K. Oh, Madhu Mazumdar, and Bart S. Ferket, Icahn School of Medicine at Mount Sinai, New York; and Michael Diefenbach, No
  • Tsao CK; Matthew D. Galsky, Nihal Mohamed, Charles Baker, Sumit Pokhriya, Jason Rogers, Ashish Atreja, Liangyuan Hu, Che-Kai Tsao, John Sfakianos, Reza Mehrazin, Nikhil Waingankar, William K. Oh, Madhu Mazumdar, and Bart S. Ferket, Icahn School of Medicine at Mount Sinai, New York; and Michael Diefenbach, No
  • Sfakianos J; Matthew D. Galsky, Nihal Mohamed, Charles Baker, Sumit Pokhriya, Jason Rogers, Ashish Atreja, Liangyuan Hu, Che-Kai Tsao, John Sfakianos, Reza Mehrazin, Nikhil Waingankar, William K. Oh, Madhu Mazumdar, and Bart S. Ferket, Icahn School of Medicine at Mount Sinai, New York; and Michael Diefenbach, No
  • Mehrazin R; Matthew D. Galsky, Nihal Mohamed, Charles Baker, Sumit Pokhriya, Jason Rogers, Ashish Atreja, Liangyuan Hu, Che-Kai Tsao, John Sfakianos, Reza Mehrazin, Nikhil Waingankar, William K. Oh, Madhu Mazumdar, and Bart S. Ferket, Icahn School of Medicine at Mount Sinai, New York; and Michael Diefenbach, No
  • Waingankar N; Matthew D. Galsky, Nihal Mohamed, Charles Baker, Sumit Pokhriya, Jason Rogers, Ashish Atreja, Liangyuan Hu, Che-Kai Tsao, John Sfakianos, Reza Mehrazin, Nikhil Waingankar, William K. Oh, Madhu Mazumdar, and Bart S. Ferket, Icahn School of Medicine at Mount Sinai, New York; and Michael Diefenbach, No
  • Oh WK; Matthew D. Galsky, Nihal Mohamed, Charles Baker, Sumit Pokhriya, Jason Rogers, Ashish Atreja, Liangyuan Hu, Che-Kai Tsao, John Sfakianos, Reza Mehrazin, Nikhil Waingankar, William K. Oh, Madhu Mazumdar, and Bart S. Ferket, Icahn School of Medicine at Mount Sinai, New York; and Michael Diefenbach, No
  • Mazumdar M; Matthew D. Galsky, Nihal Mohamed, Charles Baker, Sumit Pokhriya, Jason Rogers, Ashish Atreja, Liangyuan Hu, Che-Kai Tsao, John Sfakianos, Reza Mehrazin, Nikhil Waingankar, William K. Oh, Madhu Mazumdar, and Bart S. Ferket, Icahn School of Medicine at Mount Sinai, New York; and Michael Diefenbach, No
  • Ferket BS; Matthew D. Galsky, Nihal Mohamed, Charles Baker, Sumit Pokhriya, Jason Rogers, Ashish Atreja, Liangyuan Hu, Che-Kai Tsao, John Sfakianos, Reza Mehrazin, Nikhil Waingankar, William K. Oh, Madhu Mazumdar, and Bart S. Ferket, Icahn School of Medicine at Mount Sinai, New York; and Michael Diefenbach, No
JCO Clin Cancer Inform ; 1: 1-12, 2017 11.
Article em En | MEDLINE | ID: mdl-30657403
ABSTRACT

PURPOSE:

Level 1 evidence supports the use of neoadjuvant chemotherapy (NAC) for the treatment of muscle-invasive bladder cancer (MIBC), but observational data demonstrate that this approach is underused. A barrier to shared decision making is difficulty in predicting and communicating survival estimates after cystectomy with or without NAC.

METHODS:

We included patients with MIBC from the National Cancer Database treated with cystectomy. A state-transition model was constructed for calculating 5-year death risk using baseline patient-, tumor-, and facility-level variables. Internal-external cross-validation by geographic region was performed. The effect of NAC was integrated using a literature-derived hazard ratio. Bladder cancer-specific and other-cause mortality was estimated from all-cause mortality rates from US life tables. From the state-transition model, a Web-based tool was developed and pilot usability testing performed.

RESULTS:

A total of 9,824 patients with MIBC who underwent cystectomy were eligible for inclusion. Median overall survival was 39.6 months (95% CI, 37.4 to 42.4 months). Increasing age, higher clinical T stage, higher comorbidity index, and black race were associated with shorter survival. Private insurance, higher income, and cystectomy at a high-volume facility were associated with longer survival. The prediction model was well calibrated across geographic regions, with observed-to-predicted 5-year death risks ranging from 0.85 to 1.17. Absolute risk reductions with NAC varied from 8.6% to 10.1%. The Web-based tool allowed input of the predictor variables and a user-defined hazard ratio associated with the effect of NAC to generate individualized survival estimates. The tool demonstrated good usability with clinicians.

CONCLUSION:

A Web-based tool was developed to individualize outcome prediction and communication in patients with MIBC treated with cystectomy with or without NAC to facilitate shared decision making.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Bexiga Urinária / Software / Internet / Tomada de Decisões Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Bexiga Urinária / Software / Internet / Tomada de Decisões Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2017 Tipo de documento: Article