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Dataset Information

Design of randomized controlled trials to estimate cancer-mortality reductions from multicancer detection screening.


ABSTRACT:

Background

Determining whether screening with multicancer detection (MCD) tests saves lives requires randomized controlled trials (RCTs). To inform RCT design, we estimated cancer-mortality outcomes from hypothetical MCD RCTs.

Methods

We used the Hu-Zelen model, previously used to plan the National Lung Screening Trial (NLST), to estimate mortality reductions, sample size, and power for 9 cancers for different RCT design parameters and MCD test parameters.

Results

Our base-case RCT with 5 yearly screens and 100 000 people ages 60-74 in each arm, who also undergo standard-of-care screens, has 87%-89% power to detect a 9%-10% mortality reduction (Number Needed to Screen [NNS] = 578-724) over 7-9 years. The majority of prevented deaths were from lung cancers (base-case [

SUBMITTER: Hu P 

PROVIDER: S-EPMC11807432 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature