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使用结构化模板和报告工具获取真实世界证据以批判性评估真实世界证据研究报告质量:一项系统综述

Use of Structured Template and Reporting Tool for Real-World Evidence for Critical Appraisal of the Quality of Reporting of Real-World Evidence Studies: A Systematic Review.

作者信息

Khambholja Kapil, Gehani Manish

机构信息

Department of Medical Writing and Real World Evidence, Genpro Research Inc, Waltham, MA, USA.

Department of Medical Writing and Real World Evidence, Genpro Research Pvt Ltd, Thiruvananthapuram, India.

出版信息

Value Health. 2023 Mar;26(3):427-434. doi: 10.1016/j.jval.2022.09.003. Epub 2022 Oct 7.

Abstract

OBJECTIVES

Real-world evidence (RWE) studies are increasingly being used to support healthcare decisions. Various frameworks, tools, and checklists exist for ensuring quality of real-world data, designing robust studies, and assessing potential for bias. In January 2021, Structured Template and Reporting Tool for RWE (STaRT-RWE) was released to further reduce ambiguity, assumptions, and misinterpretation while planning, implementing, and reporting RWE studies of the safety and effectiveness of treatments. The objective of this study was to identify gaps in the reporting quality of published RWE studies by using this template for critical appraisal.

METHODS

Two reviewers conducted a keyword search on PubMed for free-full-text research articles using real-world data, RWE design, and safety with or without effectiveness outcomes of a medicinal product or intervention in humans of any age or gender, published in English between January 13, 2021, and January 13, 2022. Assessment of risk of bias was done using Assessment of Real-World Observational Studies critical appraisal tool. Deficiencies in methods and findings as per STaRT-RWE template were reported as frequencies.

RESULTS

A total of 54 of 2374 retrieved studies were included in the review. Based on the STaRT-RWE template, the studies inadequately reported empirically defined covariates, power and sample size calculation, attrition, sensitivity analyses, index date (day 0) defining criterion, predefined covariates, outcome, metadata about data source and software, objective, inclusion and exclusion criteria, analysis specifications, and follow-up.

CONCLUSIONS

The use of STaRT-RWE template along with its tables, design diagram, and library of published studies has a potential of improving robustness of RWE studies.

摘要

目的

真实世界证据(RWE)研究越来越多地被用于支持医疗保健决策。存在各种框架、工具和清单,以确保真实世界数据的质量、设计稳健的研究以及评估偏倚可能性。2021年1月,发布了真实世界证据结构化模板和报告工具(STaRT-RWE),以在规划、实施和报告治疗安全性和有效性的RWE研究时进一步减少模糊性、假设和误解。本研究的目的是通过使用此模板进行批判性评价,识别已发表的RWE研究报告质量中的差距。

方法

两名评审员在PubMed上对2021年1月13日至2022年1月13日期间以英文发表的、使用真实世界数据、RWE设计以及涉及任何年龄或性别的人类药品或干预措施安全性(有无有效性结果)的免费全文研究文章进行关键词搜索。使用真实世界观察性研究评估批判性评价工具对偏倚风险进行评估。按照STaRT-RWE模板报告方法和结果方面的缺陷频率。

结果

纳入综述的2374项检索研究中共有54项。根据STaRT-RWE模板,这些研究在经验定义的协变量、效能和样本量计算、损耗、敏感性分析、索引日期(第0天)定义标准、预定义协变量、结局、关于数据源和软件的元数据、目的、纳入和排除标准、分析规范以及随访等方面报告不足。

结论

使用STaRT-RWE模板及其表格、设计图和已发表研究库有提高RWE研究稳健性的潜力。

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