共享临床试验数据

新研究今天发表Trialsdetails the clinical trial data sharing approach of the Clinical Trials Unit at University College London. In a time when how best to share clinical trial data is hotly debated, the authors of this article discuss its importance and why their process works.

随机对照试验是测试新的健康干预措施是否有效的最佳方式,但它们往往昂贵且耗时。

临床试验收集大量高质量数据,这使我们能够回答我们的初等问题。但这些数据也有可能回答许多其他问题。使我们在试验中收集的大多数数据是有意义的,无论是通过进行额外分析或与他人分享。

来自试验的数据可以与来自Meta-Analys中的其他试验中的数据组合,与其他数据源(如组织样本或死寄存器)相关联,用于回答方法问题,或帮助其他研究人员设计新研究。这一切都提供了额外的价值,这是我们强烈支持和资助机构的原则。

通常,这意味着与其他组共享试用数据,但我们需要仔细思考我们如何实现这一目标。

有些人士建议,应该向任何人提供试用的所有数据,所谓的“开放访问”模型,或通过打开的存储库。这European Medicines Agency came very close to this approachin working up their guidelines (but they later parked this with updatedguidance)。我们认为以完全开放的方法存在一些危险。

临床试验收集大量高质量数据,这使我们能够回答我们的初等问题。但这些数据也有可能回答许多其他问题。

以完全开放的方法危险

一些问题是关于人们是否同意了to have their trial data accessed in this way. It might seem to be obvious that people would be happy for their data to be shared for a good scientific aim, even if they hadn’t agreed to this when joining the trial. But we cannot assume this.

当然,我们大多数人都会在一段时间内用个人数据乱扔互联网,但通常这是我们自己的选择。有医疗保健问题,我们可能永远不想告诉别人。和孩子们在足够老之前加入试验,以提供知情同意。他们长大后会发生什么?

在未来,我们可以在他们加入审判之前提出人们。但我们无法现实地回到老年审判中的人民。

Some people will say that you can anonymize data then make it open. But it is possible to link datasets and identify people, or for people to identify themselves (or people they know). Methods for unlinking data are becoming more sophisticated, but so are the methods for connecting data.

除了隐私之外,在决定谁可以正式分析临床试验数据时,酒吧被设置为高。通过更多的眼睛对数据有错误分析,假阳性和过度解释的风险总是风险。

为什么我们的方法有效

在这里医学研究委员会临床试验单位伦敦大学学院,今天发表Trials,我们已经开发了控制的访问方法来分享我们的临床试验数据。研究人员申请访问项目数据,独立审阅者考虑这些项目。正式的,法律数据分享协议可以防止大多数隐私问题。

This method is not without challenges. Most notably, these are time and cost. Funders do like data sharing, but data sharing requests are usually late in the life of a trial or after it has ended. Are funders interested in supporting data sharing activities by extending grants or providing core resources? Going forward, they will have to be.

处理数据共享请求,通过评论,准备可共享数据集和支持已接收数据集的人提供评论,准备共享数据集是一个令人惊讶的大任务。目前无资料,这些活动随着我们目前的试验和优先研究问题竞争时间。

Through our controlled access approach, we have shared data from our trials more than 100 times in the 3 years from 2012 to 2014, which is nearly once a week. There is obviously a clear demand. Funders will need to address robust financial investment.

This guest blog is by Matt Sydes, Tony Johnson, Sarah Meredith, Mary Rauchenberger, Annabelle South and Mahesh Parmar of Medical Research Council Clinical Trials Unit at University College London.

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