CISNET Lung Disparities Supplement

CISNET 肺差异补充

基本信息

  • 批准号:
    10440142
  • 负责人:
  • 金额:
    $ 7.4万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-09-08 至 2025-08-31
  • 项目状态:
    未结题

项目摘要

Project Summary Abstract Lung cancer is the third most common cancer in the U.S and the leading cause of cancer deaths. Although lung cancer incidence and mortality in the US are decreasing, important differences by gender and race remain. Despite having lower smoking rates than other racial groups, Black men face the highest incidence and mortality rate of lung cancer in the US. Similarly, Black women have lower smoking rates than White women in the US, but have comparable lung cancer incidence and mortality rates to White women and higher lung cancer rates than other racial/ethnic groups. Lung cancer incidence by histology also differs greatly by race/ethnicity, with Black men and women being at higher risk for squamous cell carcinoma than other racial/ethnic groups. Given the observed heterogeneity in screening efficacy by histological type, these differences could affect the effectiveness of lung cancer screening in the Black population. The CISNET models of lung cancer natural history have been useful tools to understand the impacts of preventive interventions (tobacco control and screening) on lung cancer at a population level. We propose to extend and use one of the CISNET Lung models, MichiganLung, to 1) model lung cancer incidence and mortality in the US Non-Hispanic Black population (NHB), 2) determine the contributions of various factors along the cancer control continuum to disparities in lung cancer mortality in NHB relative to the whole population, and 3) evaluate the potential impact of screening and other interventions to reduce lung cancer burden and existing disparities in NHB.
项目摘要 肺癌是美国第三大常见癌症,也是癌症的主要原因。 死亡虽然美国肺癌的发病率和死亡率正在下降,但重要的是, 性别和种族差异依然存在。尽管吸烟率低于其他种族, 在美国,黑人男性肺癌的发病率和死亡率最高。 同样,在美国,黑人妇女的吸烟率低于白色妇女,但 肺癌发病率和死亡率与白色女性相当, 与其他种族/民族相比。不同组织学类型的肺癌发病率也有很大差异, 种族/民族,黑人男性和女性患鳞状细胞癌的风险较高 其他种族/民族。鉴于观察到的筛选疗效异质性, 组织学类型,这些差异可能会影响肺癌筛查的有效性, 黑人人口CISNET的肺癌自然史模型是有用的工具, 了解预防性干预措施(烟草控制和筛查)对肺的影响 癌症在人口水平上我们建议扩展和使用CISNET肺模型之一, 美国非西班牙裔黑人肺癌发病率和死亡率模型 人口(NHB),2)确定各种因素的贡献,沿着癌症控制 NHB中肺癌死亡率相对于整个人口的差异的连续性,以及3) 评估筛查和其他干预措施对降低肺癌负担的潜在影响 以及NHB中存在的差异。

项目成果

期刊论文数量(0)
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科研奖励数量(0)
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专利数量(0)

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THEODORE R HOLFORD其他文献

THEODORE R HOLFORD的其他文献

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{{ truncateString('THEODORE R HOLFORD', 18)}}的其他基金

Comparative Modeling of Lung Cancer Prevention, Early Detection and Treatment Interventions
肺癌预防、早期检测和治疗干预的比较模型
  • 批准号:
    10693842
  • 财政年份:
    2022
  • 资助金额:
    $ 7.4万
  • 项目类别:
Comparative Modeling of Lung Cancer Prevention, Early Detection and Treatment Interventions
肺癌预防、早期检测和治疗干预的比较模型
  • 批准号:
    10747635
  • 财政年份:
    2022
  • 资助金额:
    $ 7.4万
  • 项目类别:
Comparative Modeling of Lung Cancer Prevention, Early Detection and Treatment Interventions
肺癌预防、早期检测和治疗干预的比较模型
  • 批准号:
    10256749
  • 财政年份:
    2020
  • 资助金额:
    $ 7.4万
  • 项目类别:
Comparative Modeling of Lung Cancer Prevention, Early Detection and Treatment Interventions
肺癌预防、早期检测和治疗干预的比较模型
  • 批准号:
    10687334
  • 财政年份:
    2020
  • 资助金额:
    $ 7.4万
  • 项目类别:
Comparative Modeling of Lung Cancer Prevention, Early Detection and Treatment Interventions
肺癌预防、早期检测和治疗干预的比较模型
  • 批准号:
    10469432
  • 财政年份:
    2020
  • 资助金额:
    $ 7.4万
  • 项目类别:
Comparative Modeling of Lung Cancer Prevention and Control Policies
肺癌预防和控制政策的比较模型
  • 批准号:
    9145172
  • 财政年份:
    2015
  • 资助金额:
    $ 7.4万
  • 项目类别:
Comparative Modeling of Lung Cancer Prevention and Control Policies
肺癌预防和控制政策的比较模型
  • 批准号:
    8967752
  • 财政年份:
    2015
  • 资助金额:
    $ 7.4万
  • 项目类别:
Research Training for Cancer Epidemiology & Biostatistics in China
癌症流行病学研究培训
  • 批准号:
    7695961
  • 财政年份:
    2009
  • 资助金额:
    $ 7.4万
  • 项目类别:
Research Training for Cancer Epidemiology & Biostatistics in China
癌症流行病学研究培训
  • 批准号:
    7910549
  • 财政年份:
    2009
  • 资助金额:
    $ 7.4万
  • 项目类别:
Research Training for Cancer Epidemiology & Biostatistics in China
癌症流行病学研究培训
  • 批准号:
    9021249
  • 财政年份:
    2009
  • 资助金额:
    $ 7.4万
  • 项目类别:

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