Department of Surgery, University of Florida, Gainesville, Florida, USA
Cancer Center, UF Health, Gainesville, Florida, USA.
BMJ Open. 2022 Jun 22;12(6):e064142. doi: 10.1136/bmjopen-2022-064142.
Lung cancer is the leading cause of cancer death in the USA and worldwide, and lung cancer screening (LCS) with low-dose CT (LDCT) has the potential to improve lung cancer outcomes. A critical question is whether the ratio of potential benefits to harms found in prior LCS trials applies to an older and potentially sicker population. The Personalised Lung Cancer Screening (PLuS) study will help close this knowledge gap by leveraging real-world data to fully characterise LCS recipients. The principal goal of the PLuS study is to characterise the comorbidity burden of individuals undergoing LCS and quantify the benefits and harms of LCS to enable informed decision-making.
PLuS is a multicentre observational study designed to assemble an LCS cohort from the electronic health records of ~40 000 individuals undergoing annual LCS with LDCT from 2016 to 2022. Data will be integrated into a unified repository to (1) examine the burden of multimorbidity by race/ethnicity, socioeconomic status and age; (2) quantify potential benefits and harms; and (3) use the observational data with validated simulation models in the Cancer Intervention and Surveillance Modeling Network (CISNET) to provide LCS outcomes in the real-world US population. We will fit a multivariable logistic regression model to estimate the adjusted ORs of comorbidity, functional limitations and impaired pulmonary function adjusted for relevant covariates. We will also estimate the cumulative risk of LCS outcomes using discrete-time survival models. To our knowledge, this is the first study to combine observational data and simulation models to estimate the long-term impact of LCS with LDCT.
The study was approved by the Kaiser Permanente Southern California Institutional Review Board and VA Portland Health Care System. The results will be disseminated through publications and presentations at national and international conferences. Safety considerations include protection of patient confidentiality.
肺癌是美国和全球癌症死亡的主要原因,低剂量 CT(LDCT)肺癌筛查(LCS)有可能改善肺癌的预后。一个关键问题是,之前的 LCS 试验中发现的潜在益处与危害的比例是否适用于年龄更大且可能更病弱的人群。个性化肺癌筛查(PLuS)研究将通过利用真实世界的数据来充分描述 LCS 接受者,从而帮助缩小这一知识差距。PLuS 研究的主要目标是描述接受 LCS 的个体的合并症负担,并量化 LCS 的益处和危害,以实现知情决策。
PLuS 是一项多中心观察性研究,旨在从 2016 年至 2022 年期间接受年度 LDCT 肺癌筛查的约 40000 名个体的电子健康记录中组建一个 LCS 队列。数据将被整合到一个统一的存储库中,以(1)按种族/民族、社会经济地位和年龄检查多种合并症的负担;(2)量化潜在的益处和危害;以及(3)使用经过验证的模拟模型在癌症干预和监测建模网络(CISNET)中的观察数据,为真实世界的美国人群提供 LCS 结果。我们将拟合多变量逻辑回归模型,以估计经相关协变量调整后的合并症、功能限制和肺功能受损的调整后比值比(OR)。我们还将使用离散时间生存模型估计 LCS 结果的累积风险。据我们所知,这是第一项结合观察数据和模拟模型来估计 LDCT 肺癌筛查长期影响的研究。
该研究得到了 Kaiser Permanente 南加州机构审查委员会和 VA 波特兰医疗保健系统的批准。研究结果将通过出版物和在国内和国际会议上的演讲进行传播。安全考虑因素包括保护患者的机密性。