评估 CARTaGENE 群体队列中吸烟者 6 年肺癌风险预测模型 PLCOm2012 的准确性。

CMAJ open Pub Date : 2023-04-11 Print Date: 2023-03-01 DOI:10.9778/cmajo.20210335
Rodolphe Jantzen, Nicole Ezer, Sophie Camilleri-Broët, Martin C Tammemägi, Philippe Broët
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引用次数: 0

摘要

背景:PLCOm2012 肺癌风险预测工具已被推荐用于魁北克省的肺癌筛查试点计划,但尚未在该人群中得到验证。我们试图在魁北克居民队列中验证 PLCOm2012,并确定不同筛查策略的假设性能:我们从基于人口的 CARTaGENE 队列中纳入了无肺癌病史的吸烟者。为了评估 PLCOm2012 的校准和区分度,我们确定了预期病例数与观察病例数之比,以及不同风险阈值的灵敏度、特异性和阳性预测值。为了评估 1998 年 1 月 1 日至 2015 年 12 月 31 日期间应用筛查策略的效果,我们测试了 PLCOm2012 6 年肺癌检出率的不同阈值(1.51%、1.70% 和 2.00%)、魁北克试点计划的标准(55-74 岁和 50-74 岁人群)以及 2021 年美国和 2016 年加拿大指南的建议。我们评估了筛查的轮换方案和连续方案,即每年或每 6 年分别评估一次筛查资格:在 11 652 名参与者中,有 176 人(1.51%)在 6 年内确诊为肺癌。PLCOm2012工具低估了病例数(预期与观察比为0.68,95%置信区间[CI] 0.59-0.79),但辨别能力良好(C统计量为0.727,95% CI 0.679-0.770)。从阈值 1.51% 到 2.00%,灵敏度从 52.3% (95% CI 44.6%-59.8%) 到 44.9% (95% CI 37.4%-52.6%) 不等,特异度从 81.6% (95% CI 80.8%-82.3%) 到 87.7% (95% CI 87.0%-88.3%) 不等,阳性预测值从 4.2% (95% CI 3.4%-5.1%) 到 5.3% (95% CI 4.2%-6.5%) 不等。总体而言,8938 名参与者拥有足够的数据来测试筛查策略的性能。如果每年估算一次筛查资格,那么在 2.00% 的阈值下(48.3% 对 50.2%),魁北克试点标准比 PLCOm2012 检测出的癌症数量要少,而每检测出一种癌症的扫描次数相似。如果每 6 年进行一次资格评估,则检测出的肺癌数量最多会减少 26 例;但是,这种情况会导致更高的阳性预测值(PLCOm2012 的最高阳性预测值为 6.0%,阈值为 2.00%,95% CI 为 4.8%-7.3%):在魁北克吸烟者队列中,PLCOm2012 风险预测工具在检测肺癌方面具有良好的识别能力,但调整截距以提高校准效果可能会有所帮助。在加拿大的一些省份实施风险预测模型时应谨慎。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evaluation of the accuracy of the PLCO<sub>m2012</sub> 6-year lung cancer risk prediction model among smokers in the CARTaGENE population-based cohort.

Evaluation of the accuracy of the PLCO<sub>m2012</sub> 6-year lung cancer risk prediction model among smokers in the CARTaGENE population-based cohort.

Evaluation of the accuracy of the PLCOm2012 6-year lung cancer risk prediction model among smokers in the CARTaGENE population-based cohort.

Background: The PLCOm2012 prediction tool for risk of lung cancer has been proposed for a pilot program for lung cancer screening in Quebec, but has not been validated in this population. We sought to validate PLCOm2012 in a cohort of Quebec residents, and to determine the hypothetical performance of different screening strategies.

Methods: We included smokers without a history of lung cancer from the population-based CARTaGENE cohort. To assess PLCOm2012 calibration and discrimination, we determined the ratio of expected to observed number of cases, as well as the sensitivity, specificity and positive predictive values of different risk thresholds. To assess the performance of screening strategies if applied between Jan. 1, 1998, and Dec. 31, 2015, we tested different thresholds of the PLCOm2012 detection of lung cancer over 6 years (1.51%, 1.70% and 2.00%), the criteria of Quebec's pilot program (for people aged 55-74 yr and 50-74 yr) and recommendations from 2021 United States and 2016 Canada guidelines. We assessed shift and serial scenarios of screening, whereby eligibility was assessed annually or every 6 years, respectively.

Results: Among 11 652 participants, 176 (1.51%) lung cancers were diagnosed in 6 years. The PLCOm2012 tool underestimated the number of cases (expected-to-observed ratio 0.68, 95% confidence interval [CI] 0.59-0.79), but the discrimination was good (C-statistic 0.727, 95% CI 0.679-0.770). From a threshold of 1.51% to 2.00%, sensitivities ranged from 52.3% (95% CI 44.6%-59.8%) to 44.9% (95% CI 37.4%-52.6%), specificities ranged from 81.6% (95% CI 80.8%-82.3%) to 87.7% (95% CI 87.0%-88.3%) and positive predictive values ranged from 4.2% (95% CI 3.4%-5.1%) to 5.3% (95% CI 4.2%-6.5%). Overall, 8938 participants had sufficient data to test performance of screening strategies. If eligibility was estimated annually, Quebec pilot criteria would have detected fewer cancers than PLCOm2012 at a 2.00% threshold (48.3% v. 50.2%) for a similar number of scans per detected cancer. If eligibility was estimated every 6 years, up to 26 fewer lung cancers would have been detected; however, this scenario led to higher positive predictive values (highest for PLCOm2012 with a 2.00% threshold at 6.0%, 95% CI 4.8%-7.3%).

Interpretation: In a cohort of Quebec smokers, the PLCOm2012 risk prediction tool had good discrimination in detecting lung cancer, but it may be helpful to adjust the intercept to improve calibration. The implementation of risk prediction models in some of the provinces of Canada should be done with caution.

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