Department of Endocrinology and Metabolism, China-Japan Union Hospital of Jilin University, Changchun, China.
Department of Dermatology, China-Japan Union Hospital of Jilin University, Changchun, China.
Front Endocrinol (Lausanne). 2022 Jul 8;13:929924. doi: 10.3389/fendo.2022.929924. eCollection 2022.
Diabetic retinopathy (DR) is a common diabetic microvascular complication and a major cause of acquired vision loss. Finding effective biomarkers for the early identification and diagnosis of DR is crucial. This study aimed to comprehensively evaluate the accuracy of microRNAs (miRNAs) in the diagnosis of DR a meta-analysis of previously published diagnostic studies. This study has been registered on the PROSPERO website, with the number CRD42022323238.
We searched PubMed, Cochrane Library, Embase, Web of Science, China Wanfang database, and China Knowledge Network database to identify relevant articles published from the time of database creation to April 10, 2022. Stata 14.0 software was used to calculate the pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic ratio (DOR), and area under the summary receiver operating characteristic (ROC) curve to assess the accuracy of miRNAs in the diagnosis of DR. Heterogeneity between studies was assessed using Cochran-Q test and I statistic for quantitative analysis. The random-effect model was selected due to significant heterogeneity. Subgroup analysis and regression analysis were also performed to determine the potential sources of heterogeneity.
We included 25 articles detailing 52 studies with 1987 patients with DR and 1771 non-DR controls. The findings demonstrated overall sensitivity (0.82, 95% CI: 0.78 ~ 0.85), specificity (0.84, 95% CI: 0.81 ~ 0.86), PLR (5.0, 95% CI: 4.2 ~ 5.9), NLR (0.22, 95% CI: 0.18 ~ 0.26), and the area under the summary ROC curve (0.90, 95% CI: 0.87 ~ 0.92). Furthermore, we performed subgroup analysis and found that panels of multiple miRNAs could enhance the pooled sensitivity (sensitivity, specificity, and AUC values were 0.89, 0.87, and 0.94, respectively).
The meta-analysis showed that miRNAs can be used as potential diagnostic markers for DR, with high accuracy of diagnoses observed with the detection of miRNAs in plasma and serum.
糖尿病视网膜病变（DR）是一种常见的糖尿病微血管并发症，也是导致获得性视力丧失的主要原因。寻找有效的生物标志物来早期识别和诊断 DR 至关重要。本研究旨在通过对先前发表的诊断研究进行荟萃分析，全面评估 microRNAs（miRNAs）在 DR 诊断中的准确性。本研究已在 PROSPERO 网站上注册，注册号为 CRD42022323238。
我们检索了 PubMed、Cochrane Library、Embase、Web of Science、中国万方数据库和中国知网数据库，以确定从数据库创建到 2022 年 4 月 10 日发表的相关文章。使用 Stata 14.0 软件计算汇总敏感性、特异性、阳性似然比（PLR）、阴性似然比（NLR）、诊断比值比（DOR）和汇总受试者工作特征（ROC）曲线下面积，以评估 miRNAs 在 DR 诊断中的准确性。使用 Cochran-Q 检验和 I 统计量对研究间的异质性进行定量分析。由于存在显著异质性，选择了随机效应模型。还进行了亚组分析和回归分析，以确定异质性的潜在来源。
我们纳入了 25 篇详细描述 52 项研究的文章，这些研究共纳入了 1987 例 DR 患者和 1771 例非 DR 对照。结果显示，总体敏感性为 0.82（95%CI：0.780.85），特异性为 0.84（95%CI：0.810.86），PLR 为 5.0（95%CI：4.25.9）， NLR 为 0.22（95%CI：0.180.26），汇总 ROC 曲线下面积为 0.90（95%CI：0.87~0.92）。此外，我们进行了亚组分析，发现多个 miRNAs 联合检测可以提高汇总敏感性（敏感性、特异性和 AUC 值分别为 0.89、0.87 和 0.94）。
该荟萃分析表明，miRNAs 可以作为 DR 的潜在诊断标志物，通过检测血浆和血清中的 miRNAs 可以实现高准确性的诊断。
