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.

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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

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article

Understanding Bladder Cancer Screening Limits Through Comparative Modeling: The Maximum Clinical Incidence Reduction (MCLIR) Methodology

Karen M. Kuntz, David U. Garibay-Treviño, Hawre Jalal, Thomas A. Trikalinos et al.
medRxiv
Bladder and Urothelial Cancer Treatments
article

Understanding Bladder Cancer Screening Limits Through Comparative Modeling: The Maximum Clinical Incidence Reduction (MCLIR) Methodology

Karen M. Kuntz, David U. Garibay-Treviño, Hawre Jalal, Thomas A. Trikalinos, Stella Kang, CISNET Bladder Cancer Modeling Investigators
article en

Abstract

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.

medRxiv
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)
National Cancer Institute
Good health and well-being
Openalex Percentile: Top 73%
Bladder and Urothelial Cancer Treatments
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