Post-Treatment Surveillance in Lung Cancer
Compare Patient-centered Outcomes for Lung Cancer Resection Patients Followed With Alternative Intervals of Surveillance Imaging
There are 13.7 million Americans currently living with a history of cancer. With continued improvements in cancer treatment and increasing life expectancy, this number is expected to reach nearly 18 million within the next decade. The care of these cancer patients, including surveillance during the post-treatment survivorship phase, is an increasingly important major health care concern and expenditure. As the fourth leading diagnosis among cancer survivors, lung cancer is emerging as a chronic problem that currently affects over 450,000 Americans and is expected to grow by nearly 20% by 2022.
Lung cancer is the second most common cancer in the United States. Of the estimated 182,550 patients newly diagnosed with non-small cell lung cancer (NSCLC) this year, approximately 35% will present with localized disease and be eligible for curative resection. For patients with limited NSCLC, surgical resection is the most effective method of controlling the primary tumor and provides the best opportunity for cure. A recent analysis by this group demonstrated that the number of lung cancer resections has increased over the past decade, with over 45,000 lung cancer resections performed annually in the US.
This research will address a critical gap in knowledge because the optimal approach to post-treatment surveillance following lung cancer resection is unknown. The intensity of recommended surveillance visits ranges from every 3 months during the first two years to an annual visit. Imaging modalities range from CT scans to chest radiographs to no routine imaging for asymptomatic patients. The reason for these significant differences is a lack of quality data on lung cancer surveillance and clinical guidelines based largely on small retrospective analyses and expert opinion.
The National Cancer Data Base (NCDB) provides real world national lung cancer resection and surveillance data on over 70% of newly diagnosed lung cancers from more than 1,500 institutions. This study will compare the effectiveness of the three most common surveillance intensities (CT scans every 3 months vs. 6 months vs. annually) on the stakeholder selected outcome of survival. All analyses will be risk adjusted for differences in patient characteristics at baseline, including tumor characteristics, patient age, comorbid disease, and other potential confounders. Analyses will also be adjusted for the competing risk of death.
研究概览
地位
条件
详细说明
This study will use a special study of the National Cancer Database to develop a cohort of NSCLC survivors undergoing surveillance. Cox proportional hazards regression and competing risk analyses will compare the effectiveness of the three most common surveillance intensities (3 months vs. 6 months vs. annually) on survival.
There is also a plan to engage cancer survivors to guide the development of our study comparators, outcomes and demonstration of results.
研究类型
注册 (实际的)
参与标准
资格标准
适合学习的年龄
接受健康志愿者
有资格学习的性别
取样方法
研究人群
描述
Inclusion Criteria:
- Men or Women
- Diagnosis of surgically resected lung cancer
- American Joint Committee On Cancer (AJCC) stages I-III
Exclusion Criteria:
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学习计划
研究是如何设计的?
设计细节
- 观测模型:队列
- 时间观点:追溯
队列和干预
团体/队列 |
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National Cancer Database
Use existing data to define surveillance strategy in use for patients in this cohort.
We will use 10 randomly selected lung cancer resection patients from each accredited institution with stage I-III NSCLC (potentially curative resection) diagnosed in 2006-2007 and with 5 years of complete follow up or reported as deceased before 2012.
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研究衡量的是什么?
主要结果指标
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Time to Death
大体时间:Subjects with data from 2006-2007 and with 5 years of complete follow-up or reported as deceased before 2012
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Data elements will include type of surveillance intensity (i.e., 3 month, 6 month or annually) and vital status
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Subjects with data from 2006-2007 and with 5 years of complete follow-up or reported as deceased before 2012
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合作者和调查者
调查人员
- 首席研究员:Benjamin Kozower, MD、University of Virginia
研究记录日期
研究主要日期
学习开始 (实际的)
初级完成 (实际的)
研究完成 (实际的)
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (实际的)
研究记录更新
最后更新发布 (实际的)
上次提交的符合 QC 标准的更新
最后验证
更多信息
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