An evidence mapping study based on systematic reviews of traditional Chinese medicine (TCM) for diabetic retinopathy.

IF 6.3 4区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Juan Ling, ZhuoLin Xie, XiangXia Luo, Mei Hu, Demián Glujovsky, JiaYuan Zhuang, Yan Wang, Jun Zhou, Deng HongYong
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引用次数: 0

Abstract

Background: Diabetic retinopathy (DR) is a leading cause of vision impairment and blindness among individuals with diabetes. Traditional Chinese medicine (TCM) has been explored as an alternative treatment for DR, but the quality of evidence remains uncertain. A comprehensive evidence mapping study is necessary to synthesize existing SRs, identify gaps in the literature, and highlight areas requiring further research.

Objective: This study aims to evaluate the reporting and methodological quality of SRs on TCM for DR and to assess the effectiveness of TCM interventions using an evidence-mapping approach.

Methods: A comprehensive search of major biomedical databases to identify relevant SRs published up to November 2023. The reporting quality of the included SRs was assessed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, while the methodological quality was evaluated using the Assessment of Multiple Systematic Reviews 2 (AMSTAR 2) tool.

Results: A total of 51 SRs involving 131,084 participants were included in the analysis. Evidence mapping indicated that TCM is relatively effective in treating DR. However, the methodological quality and reporting standards of these SRs were generally suboptimal. According to the AMSTAR 2 assessment, only one SR (2%) was rated as high quality, 29 SRs (56.9%) were of moderate quality, 20 SRs (39.2%) were of low quality, and one SR (2%) was of critically low quality. While all studies adequately reported the PICO components, risk of bias assessment, and statistical methods, none provided information on funding sources. Furthermore, only one study (2%) included a list of excluded studies with reasons, and eight SRs (15.7%) documented pre-specified protocols. Common reporting deficiencies included incomplete protocol and registration details, unclear review rationales, and insufficient presentation of relevant outcome data.

Conclusion: This evidence mapping study highlights the potential benefits of TCM for treating DR while identifying significant gaps in the existing literature. Although TCM interventions show potential benefits for treating DR, the overall quality of SRs is suboptimal. Future research should focus on addressing these gaps, particularly in areas such as funding disclosure and methodological rigor, to enhance the reliability of evidence on TCM interventions for DR.

基于中医治疗糖尿病视网膜病变系统评价的证据图谱研究。
背景:糖尿病视网膜病变(DR)是糖尿病患者视力损害和失明的主要原因。传统中药(TCM)已被探索作为DR的替代治疗方法,但证据的质量仍不确定。有必要进行全面的证据图谱研究,以综合现有的SRs,识别文献中的空白,并突出需要进一步研究的领域。目的:本研究旨在评估中医治疗DR的SRs报告和方法学质量,并利用证据图谱方法评估中医干预措施的有效性。方法:全面检索截至2023年11月发表的相关生物医学数据库。使用系统评价和荟萃分析首选报告项目(PRISMA)指南评估纳入的SRs的报告质量,而使用多重系统评价评估2 (AMSTAR 2)工具评估方法质量。结果:共纳入51份SRs,涉及131,084名参与者。证据图谱显示中医药治疗dr相对有效,但这些SRs的方法学质量和报告标准普遍不理想。根据AMSTAR 2评价,只有1个SR(2%)被评为高质量,29个SR(56.9%)为中等质量,20个SR(39.2%)为低质量,1个SR(2%)为极低质量。虽然所有研究都充分报告了PICO成分、偏倚风险评估和统计方法,但没有一项研究提供资金来源的信息。此外,只有一项研究(2%)列出了排除研究的原因,8项研究(15.7%)记录了预先指定的方案。常见的报告缺陷包括不完整的方案和注册细节,不清楚的审查理由,以及相关结果数据的不充分呈现。结论:本证据图谱研究强调了中医药治疗DR的潜在益处,同时发现了现有文献中的重大空白。尽管中医干预显示出治疗DR的潜在益处,但SRs的整体质量并不理想。未来的研究应侧重于解决这些差距,特别是在资金披露和方法严谨性等领域,以提高中医药干预DR证据的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Systematic Reviews
Systematic Reviews Medicine-Medicine (miscellaneous)
CiteScore
8.30
自引率
0.00%
发文量
241
审稿时长
11 weeks
期刊介绍: Systematic Reviews encompasses all aspects of the design, conduct and reporting of systematic reviews. The journal publishes high quality systematic review products including systematic review protocols, systematic reviews related to a very broad definition of health, rapid reviews, updates of already completed systematic reviews, and methods research related to the science of systematic reviews, such as decision modelling. At this time Systematic Reviews does not accept reviews of in vitro studies. The journal also aims to ensure that the results of all well-conducted systematic reviews are published, regardless of their outcome.
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