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肺癌筛查试验中的癌症特异性死亡率、全因死亡率和过度诊断:荟萃分析。

Cancer-Specific Mortality, All-Cause Mortality, and Overdiagnosis in Lung Cancer Screening Trials: A Meta-Analysis.

机构信息

Department of Epidemiology, College of Public Health, University of Georgia, Athens, Georgia

Department of Epidemiology, College of Public Health, University of Georgia, Athens, Georgia.

出版信息

Ann Fam Med. 2020 Nov;18(6):545-552. doi: 10.1370/afm.2582.

Abstract

PURPOSE

Benefit of lung cancer screening using low-dose computed tomography (LDCT) in reducing lung cancer-specific and all-cause mortality is unclear. We undertook a meta-analysis to assess its associations with outcomes.

METHODS

We searched the literature and previous systematic reviews to identify randomized controlled trials comparing LDCT screening with usual care or chest radiography. We performed meta-analysis using a random effects model. The primary outcomes were lung cancer-specific mortality, all-cause mortality, and the cumulative incidence ratio of lung cancer between screened and unscreened groups as a measure of overdiagnosis.

RESULTS

Meta-analysis was based on 8 trials with 90,475 patients that had a low risk of bias. There was a significant reduction in lung cancer-specific mortality with LDCT screening (relative risk = 0.81; 95% CI, 0.74-0.89); the estimated absolute risk reduction was 0.4% (number needed to screen = 250). The reduction in all-cause mortality was not statistically significant (relative risk = 0.96; 95% CI, 0.92-1.01), but the absolute reduction was consistent with that for lung cancer-specific mortality (0.34%; number needed to screen = 294). In the studies with the longest duration of follow-up, the incidence of lung cancer was 25% higher in the screened group, corresponding to a 20% rate of overdiagnosis.

CONCLUSIONS

This meta-analysis showing a significant reduction in lung cancer-specific mortality, albeit with a tradeoff of likely overdiagnosis, supports recommendations to screen individuals at elevated risk for lung cancer with LDCT.

摘要

目的

低剂量计算机断层扫描(LDCT)在降低肺癌特异性和全因死亡率方面的益处尚不清楚。我们进行了一项荟萃分析,以评估其与结果的相关性。

方法

我们搜索了文献和以前的系统评价,以确定比较 LDCT 筛查与常规护理或胸部 X 线摄影的随机对照试验。我们使用随机效应模型进行荟萃分析。主要结局是肺癌特异性死亡率、全因死亡率以及筛查组和未筛查组之间肺癌的累积发病率比,作为过度诊断的衡量标准。

结果

荟萃分析基于 8 项涉及 90475 例低偏倚风险患者的试验。LDCT 筛查可显著降低肺癌特异性死亡率(相对风险=0.81;95%置信区间,0.74-0.89);估计的绝对风险降低为 0.4%(需要筛查的人数=250)。全因死亡率的降低无统计学意义(相对风险=0.96;95%置信区间,0.92-1.01),但绝对降低与肺癌特异性死亡率一致(0.34%;需要筛查的人数=294)。在随访时间最长的研究中,筛查组肺癌的发病率高 25%,相当于 20%的过度诊断率。

结论

尽管存在过度诊断的风险,但这项荟萃分析显示肺癌特异性死亡率显著降低,支持推荐使用 LDCT 对肺癌高危个体进行筛查。

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本文引用的文献

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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.
2
Lung Cancer Mortality in the Lung Screening Study Feasibility Trial.肺癌筛查研究可行性试验中的肺癌死亡率。
JNCI Cancer Spectr. 2018 Sep 18;2(3):pky042. doi: 10.1093/jncics/pky042. eCollection 2018 Jul.
6
Poor Uptake of Lung Cancer Screening: Opportunities for Improvement.肺癌筛查参与率低:改善机会尚存。
J Am Coll Radiol. 2019 Apr;16(4 Pt A):446-450. doi: 10.1016/j.jacr.2018.12.018. Epub 2019 Feb 15.
7
[Lung cancer screening among the smoker population].[吸烟者群体中的肺癌筛查]
Bull Cancer. 2019 Jul-Aug;106(7-8):693-702. doi: 10.1016/j.bulcan.2018.12.010. Epub 2019 Feb 15.
9
Accounting for the Harms of Lung Cancer Screening.考虑肺癌筛查的危害。
JAMA Intern Med. 2018 Oct 1;178(10):1422-1423. doi: 10.1001/jamainternmed.2018.3061.

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