Gamede Mlindeli, Sosibo Mbulelo Aubrey, Gumede Nontobeko, Luvuno Mluleki
Department of Physiology, Faculty of Health Sciences University of Pretoria Gauteng South Africa.
School of Laboratory Medicine and Medical Sciences, College of Health Sciences University of KwaZulu-Natal Durban South Africa.
Health Sci Rep. 2025 Jan 7;8(1):e70299. doi: 10.1002/hsr2.70299. eCollection 2025 Jan.
Diabetes mellitus is one of the leading causes of morbidity and mortality among non-communicable diseases worldwide. The etiology of diabetes can be mainly attributed to factors such as genetic susceptibility, unhealthy diets, and chronic medications. Chronic medications such as HIV-antiretrovirals (ARVs) have been previously associated with the risks of developing metabolic complications. Hence, this protocol outlines the process for conducting a systematic review to investigate the association between chronic ARV treatment and the onset of metabolic syndrome complications.
The studies included in the systematic review are selected according to the inclusion and exclusion criteria. These studies are searched using search engines or databases such as PUBMED, GOOGLE SCHOLAR, MEDLINE, ScienceDirect, and EMBASE DATABASE. The articles that remained after full article screening will be assessed for bias using the Downs and Black checklist, and the data will be extracted. Additionally, heterogeneity tests will be conducted using both Χ and tests, meta-analysis will be conducted using the Review Manager version 5.4 software (RevMan), and data will be presented in forest plots. Grading of Recommendations Assessment, Development, and Evaluation approach (GRADE) will be used to assess the strength of evidence in eligible reports.
The findings intend to give an insight into the ARVs as a risk factor for metabolic diseases and further elaborate on the regimen that possesses a high risk between the first and second regimens. This protocol has been registered on PROSPERO Database #CRD42024521322.
糖尿病是全球非传染性疾病中发病和死亡的主要原因之一。糖尿病的病因主要可归因于遗传易感性、不健康饮食和长期用药等因素。诸如艾滋病毒抗逆转录病毒药物(ARVs)等长期用药先前已被认为与发生代谢并发症的风险有关。因此,本方案概述了进行系统评价以调查长期ARV治疗与代谢综合征并发症发生之间关联的过程。
系统评价中纳入的研究根据纳入和排除标准进行选择。使用搜索引擎或数据库(如PUBMED、谷歌学术、MEDLINE、ScienceDirect和EMBASE数据库)检索这些研究。在全文筛选后留存的文章将使用唐斯和布莱克清单评估偏倚,并提取数据。此外,将使用Χ²检验和I²检验进行异质性检验,使用Review Manager 5.4版软件(RevMan)进行荟萃分析,并将数据呈现于森林图中。将采用推荐分级评估、制定和评价方法(GRADE)来评估符合条件报告中的证据强度。
研究结果旨在深入了解ARVs作为代谢疾病风险因素的情况,并进一步阐述在第一种和第二种治疗方案中具有高风险的治疗方案。本方案已在PROSPERO数据库#CRD42024521322上注册。