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A risk prediction model for selecting high-risk population for computed tomography lung cancer screening in China

December 14, 2021
Source: docwirenews.com docwirenews.com
News Snapshot:
Abstract Objective: Two large randomized controlled trials (RCTs) have demonstrated that low dose computed tomography (LDCT) screening reduces lung cancer mortality. Risk-prediction models have been proved to select individuals for lung cancer screening effectively. With the focus on established risk factors for lung cancer routinely available in general cancer screening settings, we aimed to develop and internally validated a risk prediction model for lung cancer. Materials and methods: Using data from the Cancer Screening Program in Urban China (CanSPUC) in Henan province, China between 2013 and 2019, we conducted a prospective cohort study consisting of 282,254 participants including 126,445 males...
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Tags: China | data | discrimination | education | Henan | index | power | Racism | smoking | statistics | Total | training

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