罗格斯大学牵头七校联盟获650万美元联邦拨款：以建模推进肺癌预防与筛查
位于新泽西州米德尔塞克斯县新布朗斯维克市的罗格斯大学宣布，该校牵头的一个七校联盟获得美国国家癌症研究所（NCI）五年期650万美元拨款，将运用计算机建模比较不同的肺癌预防与筛查策略，为国家层面的政策制定提供量化依据。这笔拨款是癌症干预与监测建模网络（CISNET）的一部分。
联盟的联系首席研究员是罗格斯公共卫生学院副教授谭咏诗（Jamie Tam），共同领衔者包括Rafael Meza在内的多名首席研究员。除罗格斯外，参与机构还有斯坦福大学、西奈山伊坎医学院、得克萨斯大学MD安德森癌症中心、普渡大学、密歇根大学与哈佛大学。
肺癌是美国癌症死亡的首要原因，每年夺去约12.5万人的生命。低剂量CT筛查已被证明可以降低高风险人群的肺癌死亡率，但现实中符合筛查条件的人里，实际接受筛查的不足20%。筛查年龄与频率如何设定、戒烟干预如何与筛查衔接、新的早期检测技术值不值得推广——这些问题都需要在真实人群中权衡利弊，正是建模研究的用武之地。
CISNET的肺癌工作组已持续建模25年，其分析曾实质影响美国国家肺癌筛查指南的制定。新一期拨款将支持联盟继续模拟不同策略在不同人群中的效果与成本，帮助决策者在指南更新时有据可依。
研究团队表示，他们的目标是把「哪些人、在什么年龄、以什么频率筛查最划算」这类问题算清楚，让有限的医疗资源用在最能挽救生命的地方，并推动符合条件的人群真正走进筛查。
（来源：罗格斯大学）
Rutgers-Led Consortium Receives $6.5 Million Federal Award: Modeling to Advance Lung Cancer Prevention and Screening
Rutgers University, in New Brunswick, Middlesex County, New Jersey, announced that a seven-university consortium it leads has received a five-year, $6.5 million award from the National Cancer Institute (NCI) to use computer modeling to compare lung cancer prevention and screening strategies and give national policymakers quantitative evidence. The award is part of the Cancer Intervention and Surveillance Modeling Network (CISNET).
The consortium's contact principal investigator is Jamie Tam, an associate professor at the Rutgers School of Public Health; Rafael Meza is among the project's multiple principal investigators. Alongside Rutgers, the consortium includes Stanford University, the Icahn School of Medicine at Mount Sinai, the University of Texas MD Anderson Cancer Center, Purdue University, the University of Michigan and Harvard University.
Lung cancer is the leading cause of cancer death in the United States, killing about 125,000 people a year. Low-dose CT screening has been shown to reduce lung cancer deaths among high-risk people, yet fewer than 20 percent of those eligible are actually screened. Questions such as who should be screened, at what ages and how often, how screening should be paired with smoking-cessation support, and whether newer early-detection tests are worth adopting all require weighing benefits and harms across whole populations — precisely the task modeling is built for.
CISNET's lung group has been modeling these questions for 25 years, and its analyses helped shape national lung cancer screening guidelines. The new award will fund the consortium to keep simulating the effects and costs of competing strategies across different populations, so that future guideline updates rest on evidence.
The researchers say their aim is to work out which strategies save the most lives for the resources available — and to help close the gap between the people who qualify for screening on paper and the far smaller number who actually receive it.
(Source: Rutgers University)
来源：罗格斯大学
发布：GSM·美国（发布链接）
图片来源：罗格斯大学老女王楼（Old Queens）。图片来自 Wikimedia Commons，CC BY 4.0。 / Old Queens at Rutgers University. Image via Wikimedia Commons, CC BY 4.0.
GSM Global · 本篇英文版 English edition of this story
