National Institute of Health Data Science, Peking University, Beijing, China.
School of Information Sciences, University of Illinois at Urbana-Champaign, Champaign, USA.
Health Res Policy Syst. 2023 Mar 27;21(1):25. doi: 10.1186/s12961-023-00969-9.
Comments in PubMed are usually short papers for supporting or refuting claims, or discussing methods and findings in original articles. This study aims to explore whether they can be used as a quick and reliable evidence appraisal instrument for promoting research findings into practice, especially in emergency situations such as COVID-19 in which only missing, incomplete or uncertain evidence is available.
Evidence-comment networks (ECNs) were constructed by linking COVID-19-related articles to the commentaries (letters, editorials or brief correspondence) they received. PubTator Central was used to extract entities with a high volume of comments from the titles and abstracts of the articles. Among them, six drugs were selected, and their evidence assertions were analysed by exploring the structural information in the ECNs as well as the sentiment of the comments (positive, negative, neutral). Recommendations in WHO guidelines were used as the gold standard control to validate the consistency, coverage and efficiency of comments in reshaping clinical knowledge claims.
The overall positive/negative sentiments of comments were aligned with recommendations for/against the corresponding treatments in the WHO guidelines. Comment topics covered all significant points of evidence appraisal and beyond. Furthermore, comments may indicate the uncertainty regarding drug use for clinical practice. Half of the critical comments emerged 4.25 months earlier on average than the guideline release.
Comments have the potential as a support tool for rapid evidence appraisal as they have a selection effect by appraising the benefits, limitations and other clinical practice issues of concern in existing evidence. We suggest as a future direction an appraisal framework based on the comment topics and sentiment orientations to leverage the potential of scientific commentaries supporting evidence appraisal and decision-making.
PubMed 中的评论通常是支持或反驳主张的短文,或讨论原始文章中的方法和发现。本研究旨在探讨它们是否可用于快速、可靠地评估证据,以促进研究成果转化为实践,特别是在 COVID-19 等紧急情况下,此时只有缺失、不完整或不确定的证据。
通过将与 COVID-19 相关的文章与收到的评论(信件、社论或简要通信)相关联,构建了评论网络。使用 PubTator Central 从文章的标题和摘要中提取具有大量评论的实体。其中,选择了六种药物,并通过探索 ECN 中的结构信息以及评论的情绪(积极、消极、中立)来分析其证据主张。将世卫组织指南中的建议作为金标准对照,以验证评论在重塑临床知识主张方面的一致性、覆盖范围和效率。
评论的整体积极/消极情绪与世卫组织指南中对相应治疗的建议一致。评论主题涵盖了证据评估的所有重要方面,甚至超出了这些方面。此外,评论可能表明了药物使用在临床实践中的不确定性。半数关键评论的出现时间平均比指南发布早 4.25 个月。
评论具有作为快速证据评估支持工具的潜力,因为它们通过评估现有证据中关注的益处、局限性和其他临床实践问题具有选择效应。我们建议作为未来的方向,基于评论主题和情绪方向的评估框架,利用科学评论支持证据评估和决策的潜力。