PDF(Pubmed)
Abstract：
This study aimed to assess the methodological quality of clinical practice guidelines (CPGs) associated with the management of poststroke sensory loss and develop an algorithm for health professionals.
We conducted a systematic review for relevant CPGs published between 2017 and 2022 using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Checklist. Appraisal of Guidelines for Research and Evaluation II instrument was used to assess methodological quality. Recommendations for managing poststroke sensory loss from high and average-quality CPGs were summarised and developed into an algorithm.
First, 1458 records were identified from the database searches and other sources. Finally, four CPGs were included: three were rated as high quality and one as average quality. Twenty-two recommendations were summarised from these CPGs and used to develop a draft algorithm. Then, we revised the draft algorithm developed by the authors based on expert feedback to form the final version.
The four CPGs included in this study had good quality. Based on these CPGs, we developed an algorithm to facilitate health professionals\' adherence to CPGs and contribute to evidence-based medicine. In the future, more high-quality CPGs are required to give further scientific and convincing evidence to manage poststroke sensory loss.
We conducted a systematic review for relevant CPGs published between 2017 and 2022 using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Checklist. Appraisal of Guidelines for Research and Evaluation II instrument was used to assess methodological quality. Recommendations for managing poststroke sensory loss from high and average-quality CPGs were summarised and developed into an algorithm.
First, 1458 records were identified from the database searches and other sources. Finally, four CPGs were included: three were rated as high quality and one as average quality. Twenty-two recommendations were summarised from these CPGs and used to develop a draft algorithm. Then, we revised the draft algorithm developed by the authors based on expert feedback to form the final version.
The four CPGs included in this study had good quality. Based on these CPGs, we developed an algorithm to facilitate health professionals\' adherence to CPGs and contribute to evidence-based medicine. In the future, more high-quality CPGs are required to give further scientific and convincing evidence to manage poststroke sensory loss.
摘要：
目的：本研究旨在评估与中风后感觉丧失管理相关的临床实践指南（CPGs）的方法学质量，并为卫生专业人员开发算法。
方法：我们使用系统评价和荟萃分析清单的首选报告项目对2017年至2022年发布的相关CPG进行了系统评价。《研究与评价指南》II工具用于评估方法学质量。总结了管理高质量和平均质量CPG引起的中风后感觉损失的建议，并将其开发为算法。
结果：首先，从数据库搜索和其他来源中确定了1458条记录。最后,包括四个CPG：三个被评为高质量，一个被评为平均质量。从这些CPG中总结了22条建议，并用于开发算法草案。然后，我们根据专家反馈修改了作者开发的算法草案，形成最终版本。
结论：本研究纳入的4个CPG质量较好。基于这些CPG，我们开发了一种算法，以促进卫生专业人员坚持CPG，并有助于循证医学。在未来,需要更多高质量的CPG来提供更多科学和令人信服的证据来管理卒中后感觉丧失.
方法：我们使用系统评价和荟萃分析清单的首选报告项目对2017年至2022年发布的相关CPG进行了系统评价。《研究与评价指南》II工具用于评估方法学质量。总结了管理高质量和平均质量CPG引起的中风后感觉损失的建议，并将其开发为算法。
结果：首先，从数据库搜索和其他来源中确定了1458条记录。最后,包括四个CPG：三个被评为高质量，一个被评为平均质量。从这些CPG中总结了22条建议，并用于开发算法草案。然后，我们根据专家反馈修改了作者开发的算法草案，形成最终版本。
结论：本研究纳入的4个CPG质量较好。基于这些CPG，我们开发了一种算法，以促进卫生专业人员坚持CPG，并有助于循证医学。在未来,需要更多高质量的CPG来提供更多科学和令人信服的证据来管理卒中后感觉丧失.
