• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一项比较巴西肺癌筛查资格策略的建模分析。

A modeling analysis to compare eligibility strategies for lung cancer screening in Brazil.

作者信息

Miranda-Filho Adalberto, Charvat Hadrien, Bray Freddie, Migowski Arn, Cheung Li C, Vaccarella Salvatore, Johansson Mattias, Carvalho Andre L, Robbins Hilary A

机构信息

International Agency for Research on Cancer, 150 Cours Albert Thomas, Lyon 69372 CEDEX 08, France.

Cancer Early Detection Division, Brazilian National Cancer Institute (INCA), Brazil.

出版信息

EClinicalMedicine. 2021 Nov 1;42:101176. doi: 10.1016/j.eclinm.2021.101176. eCollection 2021 Dec.

DOI:10.1016/j.eclinm.2021.101176
PMID:34765952
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8571533/
Abstract

BACKGROUND

Country-specific evidence is needed to guide decisions regarding whether and how to implement lung cancer screening in different settings. For this study, we estimated the potential numbers of individuals screened and lung cancer deaths prevented in Brazil after applying different strategies to define screening eligibility.

METHODS

We applied the Lung Cancer Death Risk Assessment Tool (LCDRAT) to survey data on current and former smokers (ever-smokers) in 15 Brazilian state capital cities that comprise 18% of the Brazilian population. We evaluated three strategies to define eligibility for screening: (1) pack-years and cessation time (≥30 pack-years and <15 years since cessation); (2) the LCDRAT risk model with a fixed risk threshold; and (3) LCDRAT with age-specific risk thresholds.

FINDINGS

Among 2.3 million Brazilian ever-smokers aged 55-79 years, 21,459 (95%CI 20,532-22,387) lung cancer deaths were predicted over 5 years without screening. Applying the fixed risk-based eligibility definition would prevent more lung cancer deaths than the pack-years definition [2,939 (95%CI 2751-3127) vs. 2,500 (95%CI 2318-2681) lung cancer deaths], and with higher screening efficiency [NNS=177 (95%CI 170-183) vs. 205 (95%CI 194-216)], but would tend to screen older individuals [mean age 67.8 (95%CI 67.5-68.2) vs. 63.4 (95%CI 63.0-63.9) years]. Applying age-specific risk thresholds would allow younger ever-smokers to be screened, although these individuals would be at lower risk. The age-specific thresholds strategy would avert three-fifths (60.1%) of preventable lung cancer deaths [ = 2629 (95%CI 2448-2810)] by screening 21.9% of ever-smokers.

INTERPRETATION

The definition of eligibility impacts the efficiency of lung cancer screening and the mean age of the eligible population. As implementation of lung screening proceeds in different countries, our analytical framework can be used to guide similar analyses in other contexts. Due to limitations of our models, more research would be needed.

摘要

背景

需要特定国家的证据来指导关于在不同环境中是否以及如何实施肺癌筛查的决策。在本研究中,我们估计了在巴西应用不同策略定义筛查资格后,接受筛查的潜在人数以及预防的肺癌死亡人数。

方法

我们将肺癌死亡风险评估工具(LCDRAT)应用于巴西15个州首府城市中当前和曾经吸烟者(既往吸烟者)的调查数据,这些城市占巴西人口的18%。我们评估了三种定义筛查资格的策略:(1)吸烟包年数和戒烟时间(≥30包年且戒烟时间<15年);(2)具有固定风险阈值的LCDRAT风险模型;(3)具有年龄特异性风险阈值的LCDRAT。

结果

在230万年龄在55 - 79岁的巴西既往吸烟者中,预计在未进行筛查的情况下,5年内将有21,459例(95%CI 20,532 - 22,387)肺癌死亡。应用基于风险的固定资格定义比吸烟包年数定义能预防更多的肺癌死亡[2,939例(95%CI 2751 - 3127)对2,500例(95%CI 2318 - 2681)肺癌死亡],且筛查效率更高[NNS = 177(95%CI 170 - 183)对205(95%CI 194 - 216)],但倾向于筛查年龄较大的个体[平均年龄67.8岁(95%CI 67.5 - 68.2)对63.4岁(95%CI 63.0 - 63.9)]。应用年龄特异性风险阈值将允许年龄较小的既往吸烟者接受筛查,尽管这些个体的风险较低。年龄特异性阈值策略将通过筛查21.9%的既往吸烟者避免五分之三(60.1%)可预防的肺癌死亡[ = 2629例(95%CI 2448 - 2810)]。

解读

资格定义会影响肺癌筛查的效率和符合资格人群的平均年龄。随着不同国家肺癌筛查的实施,我们的分析框架可用于指导其他背景下的类似分析。由于我们模型的局限性,还需要更多研究。

相似文献

1
A modeling analysis to compare eligibility strategies for lung cancer screening in Brazil.一项比较巴西肺癌筛查资格策略的建模分析。
EClinicalMedicine. 2021 Nov 1;42:101176. doi: 10.1016/j.eclinm.2021.101176. eCollection 2021 Dec.
2
Lung Cancer Screening in Brazil Comparing the 2013 and 2021 USPSTF Guidelines.巴西的肺癌筛查:比较 2013 年和 2021 年 USPSTF 指南。
JAMA Netw Open. 2023 Dec 1;6(12):e2346994. doi: 10.1001/jamanetworkopen.2023.46994.
3
Development and Validation of Risk Models to Select Ever-Smokers for CT Lung Cancer Screening.用于选择曾经吸烟者进行CT肺癌筛查的风险模型的开发与验证
JAMA. 2016 Jun 7;315(21):2300-11. doi: 10.1001/jama.2016.6255.
4
5
A Comparative Modeling Analysis of Risk-Based Lung Cancer Screening Strategies.基于风险的肺癌筛查策略的比较建模分析。
J Natl Cancer Inst. 2020 May 1;112(5):466-479. doi: 10.1093/jnci/djz164.
6
7
Evaluation of the Benefits and Harms of Lung Cancer Screening With Low-Dose Computed Tomography: Modeling Study for the US Preventive Services Task Force.肺癌低剂量计算机断层扫描筛查的获益与危害评估:美国预防服务工作组的建模研究。
JAMA. 2021 Mar 9;325(10):988-997. doi: 10.1001/jama.2021.1077.
8
Implications of Nine Risk Prediction Models for Selecting Ever-Smokers for Computed Tomography Lung Cancer Screening.九种风险预测模型对选择持续吸烟者进行计算机断层扫描肺癌筛查的影响。
Ann Intern Med. 2018 Jul 3;169(1):10-19. doi: 10.7326/M17-2701. Epub 2018 May 15.
9
Assessment of Lung Cancer Risk Among Smokers for Whom Annual Screening Is Not Recommended.不推荐年度筛查的吸烟者肺癌风险评估。
JAMA Oncol. 2022 Oct 1;8(10):1428-1437. doi: 10.1001/jamaoncol.2022.2952.
10
Performance and Cost-Effectiveness of Computed Tomography Lung Cancer Screening Scenarios in a Population-Based Setting: A Microsimulation Modeling Analysis in Ontario, Canada.基于人群的计算机断层扫描肺癌筛查方案的性能和成本效益:加拿大安大略省的微观模拟建模分析
PLoS Med. 2017 Feb 7;14(2):e1002225. doi: 10.1371/journal.pmed.1002225. eCollection 2017 Feb.

引用本文的文献

1
Eligibility criteria for lung cancer screening in France: a modelling study.法国肺癌筛查的资格标准:一项建模研究。
Lancet Reg Health Eur. 2025 Jan 31;51:101221. doi: 10.1016/j.lanepe.2025.101221. eCollection 2025 Apr.
2
Benefits, harms, and cost-effectiveness of risk model-based and risk factor-based low-dose computed tomography screening strategies for lung cancer: a systematic review.基于风险模型和基于风险因素的低剂量计算机断层扫描肺癌筛查策略的益处、危害及成本效益:一项系统评价
BMC Cancer. 2024 Dec 23;24(1):1567. doi: 10.1186/s12885-024-13356-6.
3
Evaluation of risk prediction models to select lung cancer screening participants in Europe: a prospective cohort consortium analysis.评估风险预测模型以选择欧洲的肺癌筛查参与者:一项前瞻性队列联盟分析。
Lancet Digit Health. 2024 Sep;6(9):e614-e624. doi: 10.1016/S2589-7500(24)00123-7.
4
Lung cancer screening in Brazil: recommendations from the Brazilian Society of Thoracic Surgery, Brazilian Thoracic Association, and Brazilian College of Radiology and Diagnostic Imaging.巴西肺癌筛查:巴西胸外科学会、巴西胸科协会和巴西放射学和诊断影像学学院的建议。
J Bras Pneumol. 2024 Mar 22;50(1):e20230233. doi: 10.36416/1806-3756/e20230233. eCollection 2024.
5
Lung Cancer Screening in Brazil Comparing the 2013 and 2021 USPSTF Guidelines.巴西的肺癌筛查:比较 2013 年和 2021 年 USPSTF 指南。
JAMA Netw Open. 2023 Dec 1;6(12):e2346994. doi: 10.1001/jamanetworkopen.2023.46994.
6
Implementation of an Integrated Lung Cancer Prevention and Screening Program Using a Mobile Computed Tomography (CT) Unit in Brazil.利用移动计算机断层扫描(CT)设备在巴西实施肺癌综合预防和筛查计划。
Cancer Control. 2022 Jan-Dec;29:10732748221121385. doi: 10.1177/10732748221121385.

本文引用的文献

1
The challenges of implementing low-dose computed tomography for lung cancer screening in low- and middle-income countries.在低收入和中等收入国家实施低剂量计算机断层扫描进行肺癌筛查的挑战。
Nat Cancer. 2020 Dec;1(12):1140-1152. doi: 10.1038/s43018-020-00142-z. Epub 2020 Nov 30.
2
Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.《全球癌症统计数据 2020:全球 185 个国家和地区 36 种癌症的发病率和死亡率估计》。
CA Cancer J Clin. 2021 May;71(3):209-249. doi: 10.3322/caac.21660. Epub 2021 Feb 4.
3
LDCT lung cancer screening in populations at different risk for lung cancer.低剂量 CT 肺癌筛查在不同肺癌风险人群中的应用。
BMJ Open Respir Res. 2020 Feb;7(1). doi: 10.1136/bmjresp-2019-000455.
4
Lung cancer LDCT screening and mortality reduction - evidence, pitfalls and future perspectives.肺癌低剂量 CT 筛查与死亡率降低——证据、陷阱及未来展望。
Nat Rev Clin Oncol. 2021 Mar;18(3):135-151. doi: 10.1038/s41571-020-00432-6. Epub 2020 Oct 12.
5
Assessment of Biomarker Testing for Lung Cancer Screening Eligibility.肺癌筛查资格的生物标志物检测评估。
JAMA Netw Open. 2020 Mar 2;3(3):e200409. doi: 10.1001/jamanetworkopen.2020.0409.
6
Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial.随机试验中 CT 容积筛查降低肺癌死亡率
N Engl J Med. 2020 Feb 6;382(6):503-513. doi: 10.1056/NEJMoa1911793. Epub 2020 Jan 29.
7
Mortality Reduction with Low-Dose CT Screening for Lung Cancer.低剂量CT肺癌筛查降低死亡率
N Engl J Med. 2020 Feb 6;382(6):572-573. doi: 10.1056/NEJMe1916361. Epub 2020 Jan 29.
8
Life-Gained-Based Versus Risk-Based Selection of Smokers for Lung Cancer Screening.基于生存获益的与基于风险的吸烟者肺癌筛查选择。
Ann Intern Med. 2019 Nov 5;171(9):623-632. doi: 10.7326/M19-1263. Epub 2019 Oct 22.
9
Cost of screening for lung cancer in Australia.澳大利亚肺癌筛查成本。
Intern Med J. 2019 Nov;49(11):1392-1399. doi: 10.1111/imj.14439.
10
Lung cancer mortality reduction by LDCT screening-Results from the randomized German LUSI trial.低剂量计算机断层扫描(LDCT)筛查降低肺癌死亡率-来自德国 LUSI 随机试验的结果。
Int J Cancer. 2020 Mar 15;146(6):1503-1513. doi: 10.1002/ijc.32486. Epub 2019 Jun 20.