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Dataset Information

Determining cost-effectiveness of lung cancer screening in urban Chinese populations using a state-transition Markov model.


ABSTRACT:

Objectives

This study analyses the cost-effectiveness of annual low-dose CT (LDCT) screening of high-risk cancer populations in Chinese urban areas.

Design

We used a Markov model to evaluate LDCT screening from a sociological perspective.

Setting

The data from two large lung cancer screening programmes in China were used.

Participants

The sample consisted of 100 000 smokers who underwent annual LDCT screening until age 76.

Intervention

The study comprises five screening strategies, with the initial screening ages in both the screening strategies and their corresponding non-screening strategies being 40, 45, 50, 55 and 60 years, respectively.

Primary and secondary outcome measures

The incremental cost-effectiveness ratio (ICER) between screening an

SUBMITTER: Sun C 

PROVIDER: S-EPMC8252866 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature