Evaluation of Image-Based Modelling on Clinical Decisions in Coarctation of the Aorta
研究概览
地位
详细说明
In collaboration with our three clinical partners, we will first generate two separate imaging datasets for a maximum of three patients recruited to participate in CARDIOPROOF. The first dataset will include the imaging parameters currently recommended by clinical practice guidelines (referred to as "limited dataset"). The second dataset will include an expanded list of parameters, inclusive of information that is available from traditional imaging parameters (as recommended by the guidelines) and simulation modeling (referred to as "image-based modelling dataset").
We will generate both limited and image-based modelling datasets from fully de-identified patients already enrolled in CARDIOPROOF (NCT02591940) who have consented to publication of data in anonymized form.
Using a computerized random-sample function, we will randomly allocate interventional cardiologists into two separate groups and present them with one set of imaging data. The first group will receive a "limited" dataset including only information that is available from traditional diagnostics (as recommended by the clinical practice guidelines) for a pre-specified number of patients (maximum of 3). The second group will receive the full, detailed dataset inclusive of information that is available from traditional diagnostics (as recommended by the guidelines) and simulation modelling for the same set of patients.
We will then ask the interventional cardiologists in the two groups to make (hypothetical) clinical decisions using the dataset of imaging parameters presented to them. The clinical decisions will be hypothetical because patients will have been treated according to clinical practice guidelines and this experiment will retrospectively involve interventional cardiologists who are not directly involved in the care of the patients participating in CARDIOPROOF.
The analysis will focus on each hypothetical scenario and compare the proportions of cardiologists making different types of intervention decisions in the two randomly allocated groups.
研究类型
注册 (实际的)
阶段
- 不适用
联系人和位置
学习地点
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London、英国
- London School of Economics and Political Science
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参与标准
资格标准
适合学习的年龄
- 孩子
- 成人
- 年长者
接受健康志愿者
有资格学习的性别
描述
Inclusion Criteria:
- Practicing interventional cardiologists
- Has treated patients with coarctation of the aorta during the past 6 months
Exclusion Criteria:
- Participation in CARDIOPROOF trial
学习计划
研究是如何设计的?
设计细节
- 主要用途:卫生服务研究
- 分配:随机化
- 介入模型:并行分配
- 屏蔽:无(打开标签)
武器和干预
参与者组/臂 |
干预/治疗 |
|---|---|
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有源比较器:Group A
Interventional cardiologists presented with "limited" dataset including only information that is available from imaging parameters currently recommended by clinical practice guidelines.
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The second dataset will include an expanded list of parameters, inclusive of information that is available from traditional imaging parameters (as recommended by the guidelines) and simulation modeling (referred to as "image-based modelling dataset").
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实验性的:Group B
Interventional cardiologists presented with the full dataset, including imaging parameters currently recommended by clinical practice guidelines and image-based simulation modelling.
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The second dataset will include an expanded list of parameters, inclusive of information that is available from traditional imaging parameters (as recommended by the guidelines) and simulation modeling (referred to as "image-based modelling dataset").
The first dataset will include the imaging parameters currently recommended by clinical practice guidelines (referred to as "limited dataset").
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研究衡量的是什么?
主要结果指标
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Decision to intervene
大体时间:Immediate
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Our primary outcome of interest in this randomized experiment will be 'decision to intervene' by cardiologists evaluating imaging data obtained from patients with aortic coarctation. Interventional cardiologists will be asked the following question: Based on the information presented to you, would you intervene in this patient now? Please provide a yes/no answer. |
Immediate
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合作者和调查者
调查人员
- 首席研究员:Huseyin Naci, PhD、London School of Economics and Political Science
出版物和有用的链接
有用的网址
研究记录日期
研究主要日期
学习开始
初级完成 (实际的)
研究完成 (实际的)
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (估计)
研究记录更新
最后更新发布 (估计)
上次提交的符合 QC 标准的更新
最后验证
更多信息
此信息直接从 clinicaltrials.gov 网站检索,没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求,请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改,我们的网站上也会自动更新.