跳至主要内容
临床试验/NCT02562027
NCT02562027已完成不适用

Objective Treatment Allocation With SBRT vs. Surgery in High Risk Patients With Early Stage Lung Cancer Within an Accountable Care Collaborative Effort Between Surgery and Radiation Oncology

Washington University School of Medicine2 个研究点 分布在 1 个国家目标入组 217 人开始时间: 2015年9月11日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
217
试验地点
2
主要终点
Treatment selection model for high-risk early stage NSCLC patient population using risk indices

研究概览

简要总结

A principle objective of the study is to create a validated risk model for treatment selection. This will greatly enhance the ability to counsel patients regarding their specific risks/benefit ratio for surgery or SBRT. This will improve informed decision making on the part of the patient, and remove much of the subjectivity of treatment selection.

详细描述

The development of SBRT for treatment of stage I NSCLC (non-small cell lung cancer) inspired the collaboration between thoracic surgery and radiation oncology and has prompted the investigators to work closely together to evaluate the relative role of SBRT and surgery. Comparative studies of these modalities have been limited in number and are often difficult to interpret due to variability in methodological issues. The productive collaboration has resulted in publication of several studies comparing SBRT and surgery utilizing propensity score based analyses to match patients from each group. However, matching on limited numbers of variables between patients ultimately selected for therapy based largely on their real or perceived comorbidity leads to significant reporting bias, and therefore methods to comprehensively assess comorbidity are necessary.

As extension of above, a very real ongoing challenge that the investigators have evaluated within clinical practice is that current guidelines defining the high risk patient are subjective and prone to physician bias. A recent secondary analysis of clinical trial inclusion criteria for SBRT underscored this bias by demonstrating that many patients that were considered inoperable were perhaps reasonable surgical candidates. Based on standard pulmonary function tests the inoperable SBRT patients had a diffusion capacity 33% higher than the high risk surgical patients in ACOSOG Z4032. Conversely, stratification of high risk surgical patients within ACOSOG Z4032 trial identified an extremely high risk subset (median DLCO% 30%, FEV1% 39%) with a 90-day 3+ adverse event rate of 48% compared to the lowest risk subset (DLCO% 69%, FEV1% 56%) with a 90-day 3+ adverse event rate of only 24%. In the absence of a clinical trial or a prospective database, there is currently no objective algorithm to guide the assignment of surgery versus SBRT.

Attempts to objectively stratify risk within the surgical population have been challenging. Risk models based on the European Thoracic Database and the Society of Thoracic Surgeons Database are not yet robust enough to guide decision-making regarding treatment assignment or classification of the very high risk surgical patient where alternative therapies may be preferable. Unfortunately, one of the current limitations to stratifying these high risk patients is that these patients are followed by physicians in independent specialties. The STS Thoracic Surgical Database does not include patients that undergo SBRT therefore it is difficult to create an inclusive algorithm for operable and inoperable patients. A principle objective of the study is to create a validated risk model for treatment selection. This will greatly enhance the ability to counsel patients regarding their specific risks/benefit ratio for surgery or SBRT. This will improve informed decision making on the part of the patient, and remove much of the subjectivity of treatment selection. Inclusion of unique metrics such as HRQOL data will further bolster the benefit to the patient by making it more patient-centric, rather than focusing on cancer outcomes alone.

As the implementation of the Affordable HealthCare Act (AHCA) continues, physicians will experience additional pressure to cut costs while maintaining or improving the quality of care provided. The current fee-for-service system is often criticized for being compartmentalized and fragmented without well-defined incentives for quality improvement.

Initiatives of the AHCA have included efforts to test care models to reduce hospital associated conditions, bundled payment plans for care improvement, and shared savings programs for accountable care organizations whereby participating providers who meet certain quality standards share in any savings achieved for the Medicare program. These are just some of the efforts designed to rein in the cost of medical care while improving the transparency and quality of care. Pilot efforts involving bundling of payments for coronary artery bypass grafting resulted in Medicare savings of $40 million with simultaneous reduced in-hospital mortality. These types of initiatives are likely to become more commonplace in the United States as efforts to create new models of care to constrain cost are introduced.

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Health Services Research
盲法
None

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Newly diagnosed suspected or proven clinical stage I NSCLC (T1 or T2, N0, M0) with no prior treatment for this disease.
  • At least 18 years of age.
  • Ability to understand and willingness to sign an IRB approved written informed consent document (or that of legally authorized representative, if applicable).

排除标准

  • 未提供

结局指标

主要结局

Treatment selection model for high-risk early stage NSCLC patient population using risk indices

时间窗: Up to 90 days post treatment

* For determination of frailty, Fried's frailty criteria, a validated measurement tool which includes assessment of weight loss, exhaustion, activity level, grip strength, and walk speed. Fraility is classified using a validated score of 0-5 with patients scoring 4-5 considered frail, 2-3 considered intermediately frail, and 0-1 nonfrail. * Activities of daily living (Katz Activities of Daily Living) and instrumental activities of daily living (IADL) will be assessed. Both the ADL and IADL look at independence. The ADL has 6 questions/the IADL has 8 questions and the patient will receive a point for each question if he or she is considered independent. A score of 0 means the person if very dependent and very frail. A score of 6 (ADL) or 8 (IADL) means a person if very independent and not frail. * The data obtained from this group of patients will be compared with the previously obtained data from patients who had surgery for their stage I NSCLC.

Treatment selection model for high-risk early stage NSCLC patient population using comorbidity

时间窗: Up to 90 days post treatment

* Comorbidity scoring will be performed by interview and chart review including the Adult Comorbidity Evaluation 27 (ACE-27), Charlson Comorbidity Index (CCI), Global Initiative for Chronic Obstructive Lung Disease (GOLD), Cumulative Illness Rating Scale (CIRS), and COMorbidities in Chronic Obstructive Lung Disease (COMCOLD) * All of the comorbidity indices grade comorbidities from mild to severe. The investigators will use the data obtained from cumulative collected indices to determine the severity of patient comorbidities. * The data obtained from this group of patients will be compared with the previously obtained data from patients who had surgery for their stage I NSCLC.

Treatment selection model for high-risk early stage NSCLC patient population using HRQOL (health related quality of life) endpoints

时间窗: Up to 24 months post treatment

* HRQOL will be measured by the European Organization for Research and Treatment of Cancer (EORTC), Quality of Life Questionnaire (QLQ) C30, EORTC QLQ-LC13, Modified Medical Research Council (mMRC), EQ-5D, CES-D, and Medical Outcomes Study Social Support Survey (MOS-SSS). * Utility assessments will also be used and will serve as a quantitative measure of patient preferences and will be utilized to estimate quality adjusted life years (QALYs) to better incorporate quantity of survival, as well as quality of life consequences of stage I lung cancer interventions.

次要结局

  • Potential savings in cost using the model in this study(Up to 90 days)
  • Costs of SBRT(Up to 90 days)
  • Quality of life indices as measured by the differences at baseline and after treatment using the implementation of the ACO(Up to 24 months post treatment)
  • Potential cost savings with implementation of a novel ACO for stage I NSCLC(Up to 90 days)
  • Compare data between patients undergoing operative treatment and non-operative treatment for stage I NSCLC as measured by the combination of comorbidity, disability, and frailty indices(Up to 90 days post treatment)
  • Knowledge-based treatment selection regression model for prediction of treatment-related outcomes(Up to 24 months post treatment)
  • Comprehensive collaborative REDCap database to support the retrospective and prospective data collection(Up to 5 years post treatment)
  • Costs of surgery(Up to 90 days)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (2)

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