Back to search

Article

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

2026-01-30

Abstract excerpt

<h4>Background</h4> Bladder cancer imposes substantial clinical and economic burden, yet key natural-history quantities that determine the potential effectiveness of screening—such as the size of the screen-detectable preclinical reservoir and the preclinical sojourn time—are largely unobservable. The Cancer Intervention and Surveillance Modeling Network (CISNET) uses standardized stress tests to compare independ...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
9484df70-b577-5c84-b8e2-c78ddd5b21be
DOI
10.64898/2026.01.27.26344939
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Understanding Bladder Cancer Screening Limits Through Comparative Modeling: The Maximum Clinical Incidence Reduction (MCLIR) MethodologyDOI 10.64898/2026.01.27.26344939
Select a neighboring publication to make it the new centre.