Comparative modeling of multiple myeloma across myeloma control continuum: prevention, treatment, and disparity reduction

跨骨髓瘤控制连续体的多发性骨髓瘤的比较模型:预防、治疗和缩小差异

基本信息

  • 批准号:
    10831693
  • 负责人:
  • 金额:
    $ 13.89万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-09-20 至 2026-08-31
  • 项目状态:
    未结题

项目摘要

PROJECT SUMMARY/ABSTRACT This application is being submitted in response to the Notice of Special Interest identified as NOT-CA-23-044. Multiple myeloma (MM) is a common and lethal hematologic malignancy. With the recent development of novel MM treatments, median survival has significantly improved; however, the long-established racial disparities in MM continue to exist. This may be attributable to the high cost of these treatments and inequitable access to care, which was further exacerbated by the recent inflation surge since 2021. The inflation has negatively impacted patients with MM, as the management of MM is the most costly among all cancer sites. To curb this inflation and reduce the financial burden of Medicare enrollees, the Inflation Reduction Act (IRA) was signed into law in 2022. Among several provisions, the cap placed on patient out-of-pocket (OOP) spending of $2,000 starting in 2025 for Medicare Part D enrollees is expected to significantly reduce the skyrocketing high OOP cost, potentially increase accessibility of novel treatments, and mitigate disparities for patients diagnosed with MM. However, to what extent these impacts remains unknown. To assess these impacts, we propose to investigate the relationship between OOP costs and treatment utilization pattern among Medicare Part D enrollees with MM (Aim 1). Furthermore, we will predict the impact of the IRA OOP cap on Part D enrollees with MM, including the impacted size of patient population, novel treatment utilization, patient survival, lifetime healthcare cost, and racial disparities in MM survival (Aim 2). The proposed supplement will utilize the established infrastructure of NCI-funded CISNET Multiple Myeloma Incubator Program (U01CA265735), including 1) CISNET-standard, evidence-based, calibrated models of natural history of MM from Washington University and Yale University modeling groups; and 2) the coordination of the Coordinating Center for comparative modeling to ensure robust and credible conclusions with transparent model assumptions, design, and parameterization, as well as high-quality reporting of the findings. This supplement will expand the two models designed to evaluate the cost-effectiveness of novel treatments to ones with the capability to evaluate external economic shocks and the corresponding economic policies. The expanded models will significantly strengthen the public health impact of the parent grant. This supplement is significant in its capability to 1) predict and quantify the impacts of the recent inflation surge and the IRA OOP cap in patients diagnosed with MM to better our understanding about the potential impacts on novel treatment utilization, MM survival, and MM health disparities; and 2) expand the models for natural history of MM to allow for the assessment of external shocks. It is also innovative in its approach used to answer the research question, including state-of-the-art, evidence-based simulation models for MM and comparative modeling to ensure robust conclusions. Successful completion of this study will provide evidence in tangible metrics to assess the impacts of the recent inflation surge and the IRA OOP cap in MM patients.
项目摘要/摘要 该申请是为了响应被确定为非CA-23-044的特殊利益通知。 多发性骨髓瘤(MM)是一种常见且致命的血液系统恶性肿瘤。随着小说的最新发展 MM治疗,中位生存率显着改善;但是,长期以来的种族差异 MM继续存在。这可能归因于这些治疗的高成本和无法获得 自2021年以来,最近的通货膨胀率激增进一步加剧了护理。通货膨胀率负面 受到MM的影响患者,因为MM的管理是所有癌症部位中最昂贵的。遏制这个 通货膨胀并减轻医疗保险参与者的财务负担,签署《降低通货膨胀法》(IRA) 在2022年进行法律。在几项规定中,上限放置在患者自付费用(OOP)支出2,000美元 从2025年开始,医疗保险D部分将显着降低高空高OOP 成本,可能增加新治疗的可及性以及减轻诊断患者的差异 毫米。但是,这些影响在多大程度上尚不清楚。为了评估这些影响,我们建议 调查Medicare D部分的OOP成本与治疗利用模式之间的关系 带有MM的参与者(AIM 1)。此外,我们将预测IRA OOP上限对D部分的影响 MM,包括患者人群的影响,新型治疗利用,患者生存,终生 MM生存中的医疗保健成本和种族差异(AIM 2)。 拟议的补充剂将利用NCI资助的CISNET多发性骨髓瘤的既定基础设施 孵化器程序(U01CA265735),包括1)顺式标准,基于证据的,校准的模型 华盛顿大学和耶鲁大学建模小组的MM自然历史; 2) 比较建模协调中心的协调,以确保结论可靠和可靠的结论 具有透明的模型假设,设计和参数化以及高质量的报告 发现。该补充剂将扩大旨在评估新颖成本效益的两种模型 对具有评估外部经济冲击和相应经济能力的能力的治疗 政策。扩展的模型将大大加强父母赠款的公共卫生影响。 这种补充在其能力上很重要1)预测和量化最近通货膨胀的影响 临时患者的激增和IRA OOP帽,以更好地了解潜在的潜力 对新型治疗利用,MM生存和MM健康差异的影响; 2)扩展模型 MM的自然历史可以评估外部冲击。它的方法也是创新的 回答研究问题,包括MM和MM的最先进的基于证据的仿真模型 比较建模以确保结论可靠。这项研究的成功完成将提供证据 在有形指标中,评估了近期通货膨胀率和IRA OOP CAP对MM患者的影响。

项目成果

期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A moment kernel machine for clinical data mining to inform medical decision making.
  • DOI:
    10.1038/s41598-023-36752-7
  • 发表时间:
    2023-06-28
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Yu, Yao-Chi;Zhang, Wei;O'Gara, David;Li, Jr-Shin;Chang, Su-Hsin
  • 通讯作者:
    Chang, Su-Hsin
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

GRAHAM A. COLDITZ其他文献

GRAHAM A. COLDITZ的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('GRAHAM A. COLDITZ', 18)}}的其他基金

Core C: Biostatistical and Bioinformatics Core
核心 C:生物统计和生物信息学核心
  • 批准号:
    10708578
  • 财政年份:
    2023
  • 资助金额:
    $ 13.89万
  • 项目类别:
Admin-Core-001
管理核心-001
  • 批准号:
    10709107
  • 财政年份:
    2022
  • 资助金额:
    $ 13.89万
  • 项目类别:
Administrative Core
行政核心
  • 批准号:
    10294013
  • 财政年份:
    2021
  • 资助金额:
    $ 13.89万
  • 项目类别:
Comparative modeling of multiple myeloma across myeloma control continuuum: prevention, treatment, and disparity reduction
跨骨髓瘤控制连续体的多发性骨髓瘤比较模型:预防、治疗和缩小差异
  • 批准号:
    10491296
  • 财政年份:
    2021
  • 资助金额:
    $ 13.89万
  • 项目类别:
Comparative modeling of multiple myeloma across myeloma control continuuum: prevention, treatment, and disparity reduction
跨骨髓瘤控制连续体的多发性骨髓瘤比较模型:预防、治疗和缩小差异
  • 批准号:
    10331128
  • 财政年份:
    2021
  • 资助金额:
    $ 13.89万
  • 项目类别:
Washington University Participant Engagement and Cancer Genomic Sequencing Center (WU-PE-CGS)
华盛顿大学参与者参与和癌症基因组测序中心 (WU-PE-CGS)
  • 批准号:
    10294012
  • 财政年份:
    2021
  • 资助金额:
    $ 13.89万
  • 项目类别:
Washington University Participant Engagement and Cancer Genomic Sequencing Center (WU-PE-CGS)
华盛顿大学参与者参与和癌症基因组测序中心 (WU-PE-CGS)
  • 批准号:
    10759096
  • 财政年份:
    2021
  • 资助金额:
    $ 13.89万
  • 项目类别:
Washington University Participant Engagement and Cancer Genomic Sequencing Center (WU-PE-CGS)
华盛顿大学参与者参与和癌症基因组测序中心 (WU-PE-CGS)
  • 批准号:
    10599739
  • 财政年份:
    2021
  • 资助金额:
    $ 13.89万
  • 项目类别:
Research Program
研究计划
  • 批准号:
    10020383
  • 财政年份:
    2019
  • 资助金额:
    $ 13.89万
  • 项目类别:
Research Program
研究计划
  • 批准号:
    10472730
  • 财政年份:
    2019
  • 资助金额:
    $ 13.89万
  • 项目类别:

相似国自然基金

相控阵馈源定标和波束校准关键技术研究
  • 批准号:
    12303095
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
日冕仪偏振分析的可溯源校准
  • 批准号:
    42374220
  • 批准年份:
    2023
  • 资助金额:
    53 万元
  • 项目类别:
    面上项目
深海海底管线管多向缩径校准强化机制与多载荷联合作用失效破坏机理
  • 批准号:
    52375389
  • 批准年份:
    2023
  • 资助金额:
    50 万元
  • 项目类别:
    面上项目
基于变分推断和物理约束的机器学习综合方法校准南极冰架流变参数
  • 批准号:
    42376230
  • 批准年份:
    2023
  • 资助金额:
    51 万元
  • 项目类别:
    面上项目
米波十米波射电日像仪校准和数据处理方法研究
  • 批准号:
    12373102
  • 批准年份:
    2023
  • 资助金额:
    52.00 万元
  • 项目类别:
    面上项目

相似海外基金

Optimizing colorectal cancer prevention: a multi-disciplinary, population-based investigation of serrated polyps using risk prediction and modeling
优化结直肠癌预防:利用风险预测和建模对锯齿状息肉进行多学科、基于人群的调查
  • 批准号:
    10436886
  • 财政年份:
    2020
  • 资助金额:
    $ 13.89万
  • 项目类别:
Comparative Modeling to Inform Cervical Cancer Control Policies
比较模型为宫颈癌控制政策提供信息
  • 批准号:
    10440186
  • 财政年份:
    2020
  • 资助金额:
    $ 13.89万
  • 项目类别:
Optimizing colorectal cancer prevention: a multi-disciplinary, population-based investigation of serrated polyps using risk prediction and modeling
优化结直肠癌预防:利用风险预测和建模对锯齿状息肉进行多学科、基于人群的调查
  • 批准号:
    9916850
  • 财政年份:
    2020
  • 资助金额:
    $ 13.89万
  • 项目类别:
Modeling Precision Interventions for Prostate Cancer Control
前列腺癌控制的精准干预建模
  • 批准号:
    10683180
  • 财政年份:
    2020
  • 资助金额:
    $ 13.89万
  • 项目类别:
Optimizing colorectal cancer prevention: a multi-disciplinary, population-based investigation of serrated polyps using risk prediction and modeling
优化结直肠癌预防:利用风险预测和建模对锯齿状息肉进行多学科、基于人群的调查
  • 批准号:
    10650289
  • 财政年份:
    2020
  • 资助金额:
    $ 13.89万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了