Prediction Augmented Screening Initiative
报名条件（概要）
- 年龄：50 Years – 80 Years
- 性别：不限
- 健康志愿者：不接受
完整入排标准请以官方页面为准。
开展国家/地区
United States
药品与企业信息
PCP-facing tools will be turned on as a package: a) enhanced LCS clinical reminder including DP+ generated smart message; b) Integrated one-click DP+ full decision tool for automating personalized information about the net benefit of LCS based on patient characteristics; c) the TurboHM tool: automated Health maintenance app for tracking all preventive care, including a dedicated LCS section with personalized information
site-specific dashboard and proactive outreach toolkit
研发企业
试验官方登记的主要申办方；研究机构申办时会显示相应机构名称。
生产企业
公开药品批准资料或正式说明书暂未提供明确的生产企业信息。
研发企业与生产企业可能不是同一家。研究阶段药品可能尚未公布生产企业；生产企业仅取自美国上市原研药说明书所列企业（不含仿制药），不作推测；仅在其他国家上市的药品暂无法显示。
研究简介（原文）
Lung cancer is responsible for more deaths in the United States than breast, prostate and colon cancer combined and is the number one cancer killer of Veterans. This is because lung cancer is usually diagnosed when the disease has spread, and cure is less likely. Lung cancer screening (LCS) finds cancer at an earlier stage when it is curable, yet only 20% of eligible Veterans have been screened. Uptake is even lower among Black Veterans despite higher lung cancer risk. Using prediction models to identify high-benefit people for whom LCS should be encouraged improves efficiency and reduces disparities. Moreover, it is more patient-centered as shared decision-making conversations can be tailored with personalized information. The US Preventive Services Task Force has called for research to demonstrate that prediction-augmented LCS can be feasibly implemented at the point-of-care. The investigators propose for VA to lead this effort with a large-scale pragmatic clinical trial to show that prediction-augmented LCS is both feasible and improves LCS uptake.
适应症
主动联系研究团队
这项试验目前在中国大陆没有研究中心
这种情况下，直接发"入组咨询"往往会被回复"您所在地区没有中心"。更有效的做法是申请同情用药／扩展准入（由主治医生一同提出），或询问能否到最近的境外中心参加。下面已为您切换到对应的信件版本。
查看完整申请路径与成功率说明 →总联系人（申办方／研究总部）
- Nichole T Tanner, MD MS BSNichole.Tanner@va.gov(843) 789-7341
- Abby G Wenzel, PhD MS BSabby.wenzel@va.gov(843) 789-6965
研究中心联系方式
- VA Bedford HealthCare System, Bedford, MABedford，Massachusetts，United States
- VA Boston Healthcare System Jamaica Plain Campus, Jamaica Plain, MABoston，Massachusetts，United States
- VA Ann Arbor Healthcare System, Ann Arbor, MIAnn Arbor，Michigan，United States
- Ralph H. Johnson VA Medical Center, Charleston, SCCharleston，South Carolina，United States
问自己是否符合条件、如何预筛
我的病情档案
档案只保存在您自己的浏览器里，不会上传，任何人（包括本站）都看不到。
英文版（发给研究团队）
Dear Study Team, I am a patient in China and I am interested in participating in your clinical trial: Study Title: Prediction Augmented Screening Initiative ClinicalTrials.gov Identifier: NCT06538636 Sponsor: VA Office of Research and Development Investigational product: PCP-Facing Tools, LCS team population management tools About me: - Age: (please fill in) - Sex: (please fill in) - Confirmed diagnosis and stage: (please fill in) - Biomarkers / genetic testing: not available - Prior and current treatments: (please fill in) - Performance status (ECOG): not assessed - Current location: China - Travel ability: (please fill in) Could you please let me know: 1. Whether I might be eligible for this study; 2. Which site would be closest and most practical for me, and whether remote pre-screening is possible; 3. What documents (medical records, pathology or imaging reports, recent labs) I should prepare for pre-screening. I can provide English translations of my medical records. Thank you very much for your time and help. Kind regards, (your name) (your email / phone with country code)
中文对照（供您核对）
尊敬的研究团队： 我是一位来自中国的患者，希望咨询参加以下临床试验的可能： 研究名称：Prediction Augmented Screening Initiative 试验编号：NCT06538636 申办方：VA Office of Research and Development 研究药物：PCP-Facing Tools、LCS team population management tools 我的基本情况： - 年龄：（请填写） - 性别：（请填写） - 确诊疾病与分期：（请填写） - 基因／标志物检测：暂无 - 既往及当前治疗：（请填写） - 体能状态（ECOG）：未评估 - 目前所在城市：中国 - 可前往范围：（请填写） 想请教三个问题： 1. 我是否可能符合本研究的入组标准？ 2. 哪个中心对我最方便可行？能否远程预筛？ 3. 预筛需要准备哪些资料（病历、病理、影像、近期化验）？ 我可以提供英文翻译版病历。感谢您的时间与帮助。 顺祝安康 （您的姓名） （您的邮箱／带国际区号的电话）
提示：请与主治医生一起发信——由医生署名的申请，回复率远高于患者单独发信。首封邮件不要附身份证号等敏感信息。研究团队通常在 3–10 个工作日内回复，两周无回音可礼貌追问一次。
下一步怎么做？
- 把本页信息带给您的主治医生，评估是否适合参加。
- 点击下方按钮打开官方注册页，查看研究中心联系方式。
- 直接联系研究团队咨询报名事宜（通常有中文同声翻译服务可协助沟通）。