任梦娟;杨楠;刘云兰;孙雅佳;史乾灵;周奇;王子君;陈耀龙;
REN Mengjuan;YANG Nan;LIU Yunlan;SUN Yajia;SHI Qianling;ZHOU Qi;WANG Zijun;CHEN Yaolong;School of Public Health,Lanzhou University;Evidence-based Medicine Center,School of Basic Medical Sciences,Lanzhou University;The First School of Clinical Medicine,Lanzhou University;Research Unit of Evidence-based Evaluation and Guidelines,Chinese Academy of Medical Sciences,School of Basic Medical Sciences,Lanzhou University;Institute of Health Data Science,Lanzhou University;WHO Collaborating Center for Gu

• 1:兰州大学公共卫生学院
• 2:兰州大学基础医学院循证医学中心
• 3:兰州大学第一临床医学院
• 4:中国医学科学院循证评价与指南研究创新单元兰州大学基础医学院

摘要(Abstract)：

目的 调查2019年期刊公开发表的中国临床实践指南摘要报告现状，为相关研究人员撰写指南摘要及开展指南摘要报告规范研究提供参考。方法 系统检索并筛选2019年期刊公开发表的中国临床实践指南，提取指南摘要相关信息，对2019年中国指南摘要的报告情况进行分析；基于初拟版RIGHT-Abstract报告清单(包含7个领域，19个条目)对摘要报告质量进行评价，并比较摘要与正文内容报告的一致性。结果 共纳入符合要求的指南226篇，报告摘要的指南96篇(42.5%);79篇(82.3%)指南发表语种为中文，其中同时提供中、英文摘要的指南52篇(65.8%),17篇(17.7%)发表语种为英文；仅6篇(6.3%)指南为结构式摘要，仅16篇(16.7%)指南在摘要中报告了推荐意见关注的主要内容。RIGHT-Abstract各领域的报告率分别为：背景61.0%,方法13.0%,结果7.3%,审核1.0%,讨论、注册和资助的报告率均为0。分析2019年中国指南摘要与正文内容报告的一致性，发现“疾病和卫生问题”的报告一致性最高(91.7%),其次为“目的”(78.1%)、“目标人群”(70.8%)、“使用者”(38.5%)和“制订人员”(38.5%),其余条目的一致性均低于20.0%。结论 2019年中国指南摘要的整体报告率较低，结构式摘要占比较少，摘要报告的信息有限，未来需研发和推广正式的指南摘要报告规范，为相关研究人员提供指导。
Objective To investigate the reporting status of abstracts of Chinese clinical practice guidelines published in medical journals in 2019 and provide a reference for related researchers to write guideline abstracts and develop the reporting standard. Methods We systematically searched four electronic databases and additional sources for Chinese clinical practice guidelines published in medical journals in 2019. Four researchers independently screened the identified literature and extracted data related to abstracts. We analyzed the current status of abstract report, evaluated the reporting quality of guideline abstracts using the preliminary RIGHT-Abstract reporting checklist( consisting of 7 domains and 19 items) and assessed the consistency between the abstract and the main text. Results A total of 226 guidelines were finally included,96( 42. 5%)of which included abstracts. Among the 96 guidelines,79( 82. 3%,79/96) were published in Chinese and17( 17. 7%,17/96) were published in English. Among the 79 guidelines in Chinese,52( 65. 8%,52/79) provided bilingual abstracts in both Chinese and English. Of the 96 guidelines with abstracts,only 6( 6. 3%) guidelines included structured abstracts,and 16( 16. 7%) guidelines reported the main contents of recommendations in the abstract. The reporting rates in each RIGHT-Abstract domain were as follows: 61. 0%( background),13. 0%( methods),7. 3%( results),1. 0%( review),0( discussion,registry and funding). In terms of the consistency in content between the abstract and the main text,the item with the best consistency was the “diseases and health problems”( 91. 7%),followed by the “purpose ”( 78. 1%),“target populations ”( 70. 8%),“users”( 38. 5%) and“developers ”( 38. 5%). For the rest of items,the consistencies were less than 20. 0%. Conclusions The proportion of Chinese clinical practice guidelines published in medical journals in 2019 that included abstracts was relatively low,especially the structured abstracts,and the guideline abstracts provided limited information. It is necessary to develop and promote the formal reporting standard for the guideline abstracts in the future,so as to provide a guidance for related researchers.

关键词(KeyWords)： 临床实践指南;摘要;报告质量
clinical practice guidelines;abstract;reporting quality

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划(2018YFC1705503);; 中央高校基本科研业务费专项资金(lzujbky-2021-ey13)~~

作者(Authors): 任梦娟;杨楠;刘云兰;孙雅佳;史乾灵;周奇;王子君;陈耀龙;
REN Mengjuan;YANG Nan;LIU Yunlan;SUN Yajia;SHI Qianling;ZHOU Qi;WANG Zijun;CHEN Yaolong;School of Public Health,Lanzhou University;Evidence-based Medicine Center,School of Basic Medical Sciences,Lanzhou University;The First School of Clinical Medicine,Lanzhou University;Research Unit of Evidence-based Evaluation and Guidelines,Chinese Academy of Medical Sciences,School of Basic Medical Sciences,Lanzhou University;Institute of Health Data Science,Lanzhou University;WHO Collaborating Center for Gu

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