Race & sex disparities related to low-dose computed tomography lung cancer screening eligibility criteria: A lung cancer cases review.
Race & sex disparities related to low-dose computed tomography lung cancer screening eligibility criteria: A lung cancer cases review.
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与低剂量计算机断层扫描肺癌筛查资格标准相关的种族和性别差异:肺癌病例回顾
DOI:
10.1016/j.lungcan.2022.05.008
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发表时间:
2022-07
期刊:
影响因子:
5.3
通讯作者:
Tammemagi, Martin C.
中科院分区:
文献类型:
--
作者:
Williams, Randi M.;Kareff, Samuel A.;Sackstein, Paul;Roy, Tina;Luta, George;Kim, Chul;Taylor, Kathryn L.;Tammemagi, Martin C.
关键词:
The United States Preventive Services Task Force (USPSTF) recommendations do not account for race and sex differences in lung cancer risk. We compared the sensitivity for finding lung cancer cases eligible for lung cancer screening (LCS) by USPSTF 2013 recommendations versus the PLCOm2012 model at an equivalent threshold. Using Georgetown University Hospital tumor registry, we identified lung cancer cases (≥55 years old) between 2014–2018. Medical chart review collected age, sex, race, education, smoking, and clinical characteristics. We compared the percentage meeting eligibility criteria overall, and by race and sex. The cases (N=447) were 36.6% Black and 52.6% female. The PLCOm2012 and USPSTF 2013 criteria identified 71.4% and 45.6% of cases, respectively (p<0.0001). This difference was consistent across race and sex sub-groups (p<0.0001). The PLCOm2012 was more sensitive than the USPSTF in Blacks (69.9% vs. 46.6%, p<0.0001) and in women (69.8% vs. 41.3%, p<0.0001). The USPSTF had poor sensitivity for both race groups (Black 46.6%, White 45.9%, p=0.886) and had lower sensitivity in women vs. men (41.3% vs. 51.4%, p=0.032). The PLCOm2012 had higher sensitivities in women and men, and difference between sexes was not significant (69.8% vs. 72.6%, p=0.506). Compared to the USPSTF 2013 recommendations, the PLCOm2012 model selected a larger proportion of lung cancer cases in all race-sex strata and removed the sex disparity observed for the USPSTF. The PLCOm2012 risk model could be used to identify those who will benefit from LCS.
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影响因子:
15.8
作者:
Ten Haaf K;Tammemägi MC;Bondy SJ;van der Aalst CM;Gu S;McGregor SE;Nicholas G;de Koning HJ;Paszat LF
通讯作者:
Paszat LF
DOI:
10.1164/rccm.201502-0259oc
发表时间:
2015-07-15
影响因子:
24.7
作者:
Tanner, Nichole T.;Gebregziabher, Mulugeta;Silvestri, Gerard A.
通讯作者:
Silvestri, Gerard A.
影响因子:
13.8
作者:
Reese TJ;Schlechter CR;Potter LN;Kawamoto K;Del Fiol G;Lam CY;Wetter DW
通讯作者:
Wetter DW
影响因子:
9.6
作者:
Pasquinelli, Mary M.;Tammemagi, Martin C.;Feldman, Lawrence E.
通讯作者:
Feldman, Lawrence E.
影响因子:
120.7
作者:
Meza, Rafael;Jeon, Jihyoun;Toumazis, Iakovos;ten Haaf, Kevin;Cao, Pianpian;Bastani, Mehrad;Han, Summer S.;Blom, Erik F.;Jonas, Daniel E.;Feuer, Eric J.;Plevritis, Sylvia K.;de Koning, Harry J.;Kong, Chung Yin
通讯作者:
Kong, Chung Yin