Comparative Modeling for the Prevention and Control of Uterine Cancer

子宫癌预防和控制的比较模型

• 批准号: 10704680
• 负责人: Nina A. Bickell
• 金额: $ 85.61万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-17 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10704680
• 关键词: Address; Adjuvant; Adjuvant Therapy; Affect; Age; Area; Benign; Cancer Control; Cancer Etiology; Cancer Intervention and Surveillance Modeling Network; Cessation of life; Characteristics; Chemoprevention; Clinical; Cohort Effect; Communities; Consensus; Costs and Benefits; Data; Death Rate; Decision Making; Disease; Disparity; Early Diagnosis; Effectiveness; Environmental Risk Factor; Epidemiologic Factors; Epidemiology; Female Genital Diseases; Funding; Future; Genetic Predisposition to Disease; Goals; Hereditary Nonpolyposis Colorectal Neoplasms; High Risk Woman; Hysterectomy; Immunotherapy; Incidence; Incubators; Individual; Localized Malignant Neoplasm; Malignant Neoplasms; Modeling; Natural History; Neoplasms; Newly Diagnosed; Obesity; Obesity Epidemic; Operative Surgical Procedures; Pathway interactions; Patients; Patterns of Care; Policy Maker; Population; Prevalence; Prevention; Prevention strategy; Prognosis; Prophylactic treatment; Provider; Recommendation; Recurrent disease; Regimen; Resources; Risk; Risk Factors; Role; Testing; Time; Treatment Cost; Uterine Cancer; Uterus; Woman; Work; black women; cancer prevention; clinical care; comorbidity; comparative; cost; cost effectiveness; improved; men; mortality; mortality disparity; new technology; new therapeutic target; novel; novel therapeutic intervention; obesity prevention; prevention effectiveness; public health relevance; racial disparity; rate of change; routine screening; screening; social health determinants; social influence; tool; treatment comparison; treatment strategy; trend; tumor; web-based tool; Address; Adjuvant; Adjuvant Therapy; Affect; Age; Area; Benign; Cancer Control; Cancer Etiology; Cancer Intervention and Surveillance Modeling Network; Cessation of life; Characteristics; Chemoprevention; Clinical; Cohort Effect; Communities; Consensus; Costs and Benefits; Data; Death Rate; Decision Making; Disease; Disparity; Early Diagnosis; Effectiveness; Environmental Risk Factor; Epidemiologic Factors; Epidemiology; Female Genital Diseases; Funding; Future; Genetic Predisposition to Disease; Goals; Hereditary Nonpolyposis Colorectal Neoplasms; High Risk Woman; Hysterectomy; Immunotherapy; Incidence; Incubators; Individual; Localized Malignant Neoplasm; Malignant Neoplasms; Modeling; Natural History; Neoplasms; Newly Diagnosed; Obesity; Obesity Epidemic; Operative Surgical Procedures; Pathway interactions; Patients; Patterns of Care; Policy Maker; Population; Prevalence; Prevention; Prevention strategy; Prognosis; Prophylactic treatment; Provider; Recommendation; Recurrent disease; Regimen; Resources; Risk; Risk Factors; Role; Testing; Time; Treatment Cost; Uterine Cancer; Uterus; Woman; Work; black women; cancer prevention; clinical care; comorbidity; comparative; cost; cost effectiveness; improved; men; mortality; mortality disparity; new technology; new therapeutic target; novel; novel therapeutic intervention; obesity prevention; prevention effectiveness; public health relevance; racial disparity; rate of change; routine screening; screening; social health determinants; social influence; tool; treatment comparison; treatment strategy; trend; tumor; web-based tool

Uterine cancer is the 4th most common cancer in women and the 7th most frequent cause of cancer-related death. The death rate from uterine cancer is rising faster than for any other tumor. Importantly, uterine cancer is associated with a profound racial disparity. Compared to white women, black women are significantly more likely to die from uterine cancer and this disparity is increasing. The overarching goal of this proposal is to inform cancer control and prevention strategies to reduce the incidence and mortality uterine cancer by improving the prevention, screening, and treatment of the disease. We will accomplish this goal through a collaborative modeling consortium in which three groups develop natural history models of uterine cancer. These models will incorporate known risk factors for uterine cancer and population level changes in the prevalence of these risk factors over time. The models will include pathways for both favorable prognosis (type I) uterine cancer as well as more aggressive (type II) neoplasms. Once developed and validated, we will perform comparative modeling to examine issues of importance to clinicians and policymakers. First, we will examine currently available and emerging strategies for screening and prevention of uterine cancer in women. Second, we will examine the harms, benefits, and cost- effectiveness of treatment strategies for uterine cancer including adjuvant therapy, treatment of metastatic disease, and treatment of recurrent disease including immunotherapy. Third, we will estimate how changing epidemiologic factors and social determinants of health influence racial disparities for uterine cancer. Fourth, we will explore the impact of the rising rate of obesity on incidence and mortality of uterine cancer and develop novel, web-based tools to determine how state-level obesity control activities influence incidence and mortality. Finally, we will explore how the declining hysterectomy rate and changing patterns of care for gynecologic diseases influence uterine cancer incidence and mortality. At the completion of this work, these data will be widely disseminated to patients, providers, and policy makers and have the potential to significantly impact the clinical care of women with uterine cancer and to guide cancer control strategies. Further, these models will serve as an invaluable resource for the uterine cancer community as new clinical questions and challenges emerge.

子宫癌是女性第四大癌症，也是癌症相关的第七最常见原因 死亡。子宫癌的死亡率升高的速度比任何其他肿瘤都要快。重要的是，子宫癌 与深远的种族差异有关。与白人妇女相比，黑人妇女要多得多 可能死于子宫癌，这种差异正在增加。该提议的总体目标是 告知癌症控制和预防策略，以减少通过 改善疾病的预防，筛查和治疗。我们将通过 协作建模联盟，其中三组发展了子宫癌的自然史模型。 这些模型将纳入子宫癌和人口水平变化的已知危险因素 随着时间的流逝，这些危险因素的患病率。这些模型将包括有利预后的途径（类型 i）子宫癌以及更具侵略性（II型）肿瘤。 一旦开发和验证，我们将进行比较建模，以研究重要性问题 临床医生和决策者。首先，我们将检查当前可用的筛查和新兴策略 和预防女性子宫癌。其次，我们将研究危害，收益和成本 - 子宫癌治疗策略的有效性，包括辅助治疗，转移治疗 疾病以及复发性疾病的治疗，包括免疫疗法。第三，我们将估计如何改变 健康的流行病学因素和社会决定因素影响子宫癌的种族差异。第四， 我们将探讨肥胖率上升对子宫癌发病率和死亡率的影响并发展 基于Web的新型工具，以确定州级肥胖控制活动如何影响发病率和死亡率。 最后，我们将探讨子宫切除术的下降和妇科的护理模式如何变化 疾病影响子宫癌的发病率和死亡率。完成这项工作时，这些数据将是 广泛传播给患者，提供者和政策制定者，并有可能显着影响 子宫癌女性的临床护理并指导癌症控制策略。此外，这些模型将 作为子宫癌社区的宝贵资源，作为新的临床问题和挑战 出现。