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研究结果出版物与试验注册的链接不充分:德国大学医学中心的自动化管道和评估。

Results publications are inadequately linked to trial registrations: An automated pipeline and evaluation of German university medical centers.

机构信息

QUEST Center for Responsible Research, Berlin Institute of Health (BIH), Charité-Universitätsmedizin Berlin, Berlin, Germany.

出版信息

Clin Trials. 2022 Jun;19(3):337-346. doi: 10.1177/17407745221087456. Epub 2022 Apr 1.

Abstract

BACKGROUND/AIMS: Informed clinical guidance and health policy relies on clinicians, policymakers, and guideline developers finding comprehensive clinical evidence and linking registrations and publications of the same clinical trial. To support the finding and linking of trial evidence, the World Health Organization, the International Committee of Medical Journal Editors, and the Consolidated Standards of Reporting Trials ask researchers to provide the trial registration number in their publication and a reference to the publication in the registration. This practice costs researchers minimal effort and makes evidence synthesis more thorough and efficient. Nevertheless, trial evidence appears inadequately linked, and the extent of trial links in Germany remains unquantified. This cross-sectional study aims to evaluate links between registrations and publications across clinical trials conducted by German university medical centers and registered in ClinicalTrials.gov or the German Clinical Trials Registry. Secondary aims are to develop an automated pipeline that can be applied to other cohorts of trial registrations and publications, and to provide stakeholders, from trialists to registries, with guidance to improve trial links.

METHODS

We used automated strategies to download and extract data from trial registries, PubMed, and results publications for a cohort of registered, published trials conducted across German university medical centers and completed between 2009 and 2017. We implemented regular expressions to detect and classify publication identifiers in registrations, and trial registration numbers in publication metadata, abstracts, and full-texts.

RESULTS

In breach of long-standing guidelines, 75% (1,418) of trials failed to reference trial registration numbers in both the abstract and full-text of the journal article in which the results were published. Furthermore, 50% (946) of trial registrations did not contain links to their results publications. Seventeen percent (327) of trials had no links, so that associating registration and publication required manual searching and screening. Overall, trials in ClinicalTrials.gov were better linked than those in the German Clinical Trials Registry; PubMed and registry infrastructures appear to drive this difference. Trial registration numbers were more likely to be transferred to PubMed metadata from abstracts for ClinicalTrials.gov trials than for German Clinical Trials Registry trials. Most (78%, 662/849) ClinicalTrials.gov registrations with a publication link were automatically indexed from PubMed metadata, which is not possible in the German Clinical Trials Registry.

CONCLUSIONS

German university medical centers have not comprehensively linked trial registrations and publications, despite established recommendations. This shortcoming threatens the quality of evidence synthesis and medical practice, and burdens researchers with manually searching and linking trial data. Researchers could easily improve this by copy-and-pasting references between their trial registrations and publications. Other stakeholders could build on this practice, for example, PubMed could capture additional trial registration numbers using automated strategies (like those developed in this study), and the German Clinical Trials Registry could automatically index publications from PubMed.

摘要

背景/目的:知情的临床指导和卫生政策依赖于临床医生、政策制定者和指南制定者找到全面的临床证据,并将相同临床试验的注册和出版物联系起来。为了支持证据的发现和链接,世界卫生组织、国际医学期刊编辑委员会和临床试验报告的统一标准要求研究人员在出版物中提供试验注册号码,并在注册中引用出版物。这种做法只需要研究人员付出很少的努力,但可以使证据综合更加全面和高效。然而,临床试验证据似乎没有得到充分的联系,德国的试验联系程度仍未量化。本横断面研究旨在评估德国大学医学中心开展的临床试验的注册和出版物之间的联系,这些试验在 ClinicalTrials.gov 或德国临床试验注册中心注册。次要目的是开发一个可以应用于其他试验注册和出版物队列的自动化管道,并为从试验者到登记处的利益相关者提供指导,以改善试验联系。

方法

我们使用自动化策略从临床试验登记处、PubMed 和结果出版物中下载和提取德国大学医学中心开展的已注册、已发表的临床试验队列的数据,这些试验于 2009 年至 2017 年间完成。我们实施了正则表达式来检测和分类登记处中的出版物标识符,并在出版物元数据、摘要和全文中检测和分类试验注册编号。

结果

违反长期存在的指导方针,75%(1418 项)的试验在其结果发表的期刊文章的摘要和全文中都没有引用试验注册号。此外,50%(946 项)的试验注册没有包含与其结果出版物的链接。17%(327 项)的试验没有任何联系,因此需要手动搜索和筛选来关联注册和出版物。总体而言,ClinicalTrials.gov 中的试验比德国临床试验注册中心中的试验联系更好;PubMed 和登记处基础设施似乎造成了这种差异。ClinicalTrials.gov 试验的试验注册编号更有可能从德国临床试验注册中心试验的摘要转移到 PubMed 元数据中。大多数(78%,662/849)有出版物链接的 ClinicalTrials.gov 注册可以从 PubMed 元数据中自动索引,而在德国临床试验注册中心则无法实现。

结论

尽管有既定的建议,但德国大学医学中心并没有全面地将试验注册和出版物联系起来。这一缺陷威胁到证据综合和医疗实践的质量,并使研究人员在手动搜索和链接试验数据方面负担过重。研究人员只需简单地在试验注册和出版物之间复制和粘贴参考文献,就可以轻松改进这一点。其他利益相关者可以在此基础上进一步完善,例如,PubMed 可以使用自动化策略(如本研究中开发的策略)捕获额外的试验注册号码,而德国临床试验注册中心可以自动从 PubMed 索引出版物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5743/9203676/2e480f4ea699/10.1177_17407745221087456-fig1.jpg

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