Improving Inequities in Lung Cancer Screening: Risk Prediction Models and the Potential to Achieve a Great Equalizer Effect

被引:0
|
作者
Tanner, Nichole T. [1 ,2 ]
Rivera, M. Patricia [3 ]
机构
[1] Ralph H Johnson Vet Affairs Hosp, Hlth Equ & Rural Outreach Innovat Ctr HEROIC, Charleston, SC USA
[2] Med Univ South Carolina, Div Pulm Crit Care & Sleep Med, 96 Jonathan Lucas St,CSB 812, Charleston, SC 29425 USA
[3] Univ N Carolina, Div Pulm & Crit Care Med, Chapel Hill, NC 27515 USA
关键词
ELIGIBILITY CRITERIA; RACIAL-DIFFERENCES; MORTALITY;
D O I
10.1016/j.jtho.2020.09.010
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
引用
下载
收藏
页码:1711 / 1713
页数:3
相关论文
共 50 条
  • [41] Biases in Lung Cancer Screening: Demographic Characteristics of Databases Used in Construction of Lung Cancer Risk Models
    Shen, M.
    Chen, A.
    Gichoya, J. W.
    Celi, L. A.
    Seastedt, K. P.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2023, 207
  • [42] Use of lung cancer risk models in planning research and service programs in CT screening for lung cancer
    Duffy, Stephen W.
    Raji, Olaide Y.
    Agbaje, Olorunsola F.
    Allgood, Prue C.
    Cassidy, Adrian
    Field, John K.
    EXPERT REVIEW OF ANTICANCER THERAPY, 2009, 9 (10) : 1467 - 1472
  • [43] The efficacy of machine learning models in lung cancer risk prediction with explainability
    Pathan, Refat Khan
    Shorna, Israt Jahan
    Hossain, Md. Sayem
    Khandaker, Mayeen Uddin
    Almohammed, Huda I.
    Hamd, Zuhal Y.
    PLOS ONE, 2024, 19 (06):
  • [45] A Graphical User Interface For Comparison Of Lung Cancer Risk Prediction Models
    Dilger, S. K. N.
    Muralidharan, M.
    Uthoff, J.
    Sieren, J. C.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2016, 193
  • [46] Lung Cancer Risk Prediction Models for Asian Ever-Smokers
    Yang, Jae Jeong
    Wen, Wanqing
    Zahed, Hana
    Zheng, Wei
    Lan, Qing
    Abe, Sarah K.
    Islam, Rashedul
    Saito, Eiko
    Gupta, Prakash C.
    Tamakoshi, Akiko
    Koh, Woon-Puay
    Gao, Yu -Tang
    Sakata, Ritsu
    Tsuji, Ichiro
    Malekzadeh, Reza
    Sugawara, Yumi
    Kim, Jeongseon
    Ito, Hidemi
    Nagata, Chisato
    You, San -Lin
    Park, Sue K.
    Yuan, Jian-Min
    Shin, Myung-Hee
    Kweon, Sun-Seog
    Yi, Sang-Wook
    Pednekar, Mangesh S.
    Kimura, Takashi
    Cai, Hui
    Lu, Yukai
    Etemadi, Arash
    Kanemura, Seiki
    Wada, Keiko
    Chen, Chien-Jen
    Shin, Aesun
    Wang, Renwei
    Ahn, Yoon-Ok
    Shin, Min -Ho
    Ohrr, Heechoul
    Sheikh, Mahdi
    Blechter, Batel
    Ahsan, Habibul
    Boffetta, Paolo
    Chia, Kee Seng
    Matsuo, Keitaro
    Qiao, You -Lin
    Rothman, Nathaniel
    Inoue, Manami
    Kang, Daehee
    Robbins, Hilary A.
    Shu, Xiao-Ou
    JOURNAL OF THORACIC ONCOLOGY, 2024, 19 (03) : 451 - 464
  • [47] \Validation of Lung Cancer Risk Prediction Models in an Asbestos Exposed Population
    Kumarasamy, C.
    Norman, R.
    Betts, K.
    Brims, F.
    JOURNAL OF THORACIC ONCOLOGY, 2023, 18 (11) : S216 - S216
  • [48] Selecting high-risk individuals for lung cancer screening; the use of risk prediction models vs. simplified eligibility criteria
    Kaaks, Rudolf
    Huesing, Anika
    Fortner, Renee T.
    ANNALS OF TRANSLATIONAL MEDICINE, 2017, 5 (20)
  • [49] EXAMINING THE EFFECT OF CANCER RISK AND PATIENT PREFERENCES ON THE NET BENEFIT OF LUNG CANCER SCREENING: A PERSONALIZED LUNG CANCER SCREENING MODEL
    Caverly, Tanner
    Cao, Pianpian
    Hayward, Rodney A.
    Meza, Rafael
    JOURNAL OF GENERAL INTERNAL MEDICINE, 2016, 31 : S219 - S219
  • [50] Validation of multivariable lung cancer risk prediction models for the personalized assignment of optimal screening frequency: a retrospective analysis of data from the German Lung Cancer Screening Intervention Trial (LUSI)
    Maldonado, Sandra Gonzalez
    Hynes, Lucas Cory
    Motsch, Erna
    Heussel, Claus-Peter
    Kauczor, Hans-Ulrich
    Robbins, Hilary A.
    Delorme, Stefan
    Kaaks, Rudolf
    TRANSLATIONAL LUNG CANCER RESEARCH, 2021, 10 (03) : 1305 - +