Understanding Bladder Cancer Screening Limits Through Comparative Modeling: The Maximum Clinical Incidence Reduction (MCLIR) Methodology
In a standardized CISNET stress test, three bladder cancer microsimulation models imply a relatively short detectable preclinical phase, placing a modest upper bound on the effectiveness of one-time screening in the general population. Differences in MCLIR/RCLIR magnitude and persistence are explained by differences in implied sojourn time and detectable reservoir size. These findings motivate evaluation of risk-targeted and repeated early-detection strategies and highlight key empirical priorities for improving inference on bladder cancer natural history.
Authors
- Karen M. Kuntz
- David U. Garibay-Treviño
- Hawre Jalal
- Thomas A. Trikalinos
- Stella Kang
- CISNET Bladder Cancer Modeling Investigators
Institutions
- Tufts University (US)
- Tufts Medical Center (US)
- University of Minnesota (US)
- University of Ottawa (CA)
- University of Pittsburgh (US)
- Columbia University Irving Medical Center (US)
- Cancer Research And Biostatistics (US)
- Stanford Medicine (US)
- Department of Health Services (NP)
- Minnesota Department of Health (US)
- Department of Health Services (US)
- Stanford University (US)
Publication Details
- Journal
- medRxiv
- Published
- 2026-01-30
- DOI
- https://doi.org/10.64898/2026.01.27.26344939
- Primary Topic
- Bladder and Urothelial Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Cancer Institute