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模拟新型全身治疗对肺癌筛查益处的影响。

Modeling the impact of novel systemic treatments on lung cancer screening benefits.

作者信息

Gogebakan Kemal Caglar, Lange Jane, Slatore Christopher G, Etzioni Ruth

机构信息

Cancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA.

Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, Oregon, USA.

出版信息

Cancer. 2023 Jan 15;129(2):226-234. doi: 10.1002/cncr.34527. Epub 2022 Nov 1.

Abstract

BACKGROUND

Since low-dose computed tomography (LDCT) screening was shown to be effective in the National Lung Screening Trial (NLST), novel targeted therapies and immunotherapies for advanced lung cancer have become available. This study investigated the impact of these treatment advances on the expected benefits of LDCT screening.

METHODS

A microsimulation model of LDCT screening for high-risk individuals under standard systemic treatments (chemotherapy and radiation therapy) and novel treatments (immunotherapy and targeted therapy) was used. The model assumed a reduction in advanced-stage disease consistent with the NLST, and given the stage at diagnosis, it projected survival. The disease-specific relative mortality reduction (MR) due to LDCT screening was projected in the trial setting and in a population eligible for LDCT screening under the current US Preventive Services Task Force (USPSTF) recommendations.

RESULTS

The availability of novel treatments reduced the MR in the LDCT arm of the NLST from 15% to 13.5% and the number of lung cancer deaths prevented from 310 to 224 per 100,000 persons screened. Over 10 years, population LDCT screening based on USPSTF recommendations prevented 374 lung cancer deaths per 100,000 under standard treatments (13.3% MR) and 236 per 100,000 under fully adopted novel treatments (10.6% MR). The number needed to screen to avert one death over 10 years was 270 under standard treatments and 440 under novel treatments.

CONCLUSIONS

The transition from standard systemic treatments to novel treatments is expected to reduce the relative and absolute mortality benefits of LDCT screening. Benefit-harm tradeoffs of LDCT screening are likely to change as novel treatments become widespread.

摘要

背景

自从低剂量计算机断层扫描(LDCT)筛查在国家肺癌筛查试验(NLST)中被证明有效以来,针对晚期肺癌的新型靶向治疗和免疫治疗已可供使用。本研究调查了这些治疗进展对LDCT筛查预期益处的影响。

方法

使用了一个针对高危个体进行LDCT筛查的微观模拟模型,该模型涵盖标准全身治疗(化疗和放疗)以及新型治疗(免疫治疗和靶向治疗)。该模型假设晚期疾病的减少情况与NLST一致,并根据诊断阶段预测生存率。在试验环境以及符合当前美国预防服务工作组(USPSTF)建议的LDCT筛查合格人群中,预测了LDCT筛查导致的疾病特异性相对死亡率降低(MR)。

结果

新型治疗方法的出现使NLST中LDCT组的MR从15%降至13.5%,每10万人筛查中预防的肺癌死亡人数从310人降至224人。在10年期间,基于USPSTF建议的人群LDCT筛查在标准治疗下每10万人预防374例肺癌死亡(MR为13.3%),在完全采用新型治疗时每10万人预防236例(MR为10.6%)。在10年内避免一例死亡所需的筛查人数在标准治疗下为270人,在新型治疗下为440人。

结论

从标准全身治疗向新型治疗的转变预计会降低LDCT筛查的相对和绝对死亡率益处。随着新型治疗方法的广泛应用,LDCT筛查的利弊权衡可能会发生变化。

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