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. 2017 Nov:1:1-12.
doi: 10.1200/CCI.17.00116.

Web-Based Tool to Facilitate Shared Decision Making With Regard to Neoadjuvant Chemotherapy Use in Muscle-Invasive Bladder Cancer

Affiliations

Web-Based Tool to Facilitate Shared Decision Making With Regard to Neoadjuvant Chemotherapy Use in Muscle-Invasive Bladder Cancer

Matthew D Galsky et al. JCO Clin Cancer Inform. 2017 Nov.

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.

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Conflict of interest statement

Matthew D. Galsky

Stock and Other Ownership Interests: Dual Therapeutics

Consulting or Advisory Role: BioMotiv, Janssen Pharmaceuticals, Dendreon, Merck, GlaxoSmithKline, Eli Lilly, Astellas Pharma, Genentech, Brisol-Myers Squibb

Research Funding: Janssen Pharmaceuticals (Inst), Dendreon (Inst), Novartis (Inst), Bristol-Myers Squibb (Inst), Merck (Inst)

Patents, Royalties, Other Intellectual Property: Methods and Compositions for Treating Cancer and Related Methods; Mount Sinai School of Medicine, July 2012, application number 20120322792

Travel, Accommodations, Expenses: BioMotiv, Merck, Dendreon, Astellas Pharma

Michael Diefenbach

No relationship to disclose

Nihal Mohamed

No relationship to disclose

Charles Baker

No relationship to disclose

Sumit Pokhriya

No relationship to disclose

Jason Rogers

No relationship to disclose

Ashish Atreja

No relationship to disclose

Liangyuan Hu

No relationship to disclose

Che-Kai Tsao

Consulting or Advisory Role: Pfizer, AstraZeneca, Boehringer Ingelheim

John Sfakianos

Consulting or Advisory Role: EMD Serono

Speakers’ Bureau: Astellas Pharma, Medivation

Reza Mehrazin

No relationship to disclose

Nikhil Waingankar

No relationship to disclose

William K. Oh

Leadership: CheckPoint Sciences

Stock and Other Ownership Interests: Bellicum Pharmaceuticals

Consulting or Advisory Role: Sanofi, Janssen Pharmaceuticals, Dendreon, Churchill Pharmaceuticals, Inovio Pharmaceuticals, AstraZeneca

Research Funding: SOTIO (Inst)

Madhu Mazumdar

No relationship to disclose

Bart S. Ferket

No relationship to disclose

Figures

Fig 1.
Fig 1.
Patients included in the analysis and reasons for patient exclusion. NCDB, National Cancer Database.
Fig 2.
Fig 2.
Estimated treatment benefit with neoadjuvant chemotherapy according to age and clinical stage groups. ARR, absolute risk reduction; NNT, number needed to treat.
Fig 3.
Fig 3.
BladderCancerRisk.org Web-based prediction tool. (A) data entry screen; (B) infographics results output screen.

References

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