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Meta-Analysis
. 2021 Feb 12;100(6):e24174.
doi: 10.1097/MD.0000000000024174.

Diagnostic significance of circulating miRNAs in Kawasaki disease in China: Current evidence based on a meta-analysis

Xiaolan Zheng  1   2 , Yifei Li  1 , Peng Yue  1   2 , Fan Ma  1 , Yi Zhang  1 , Gang Wu  1
Affiliations
Meta-Analysis

Diagnostic significance of circulating miRNAs in Kawasaki disease in China: Current evidence based on a meta-analysis

Xiaolan Zheng et al. Medicine (Baltimore). .

Abstract

Background: There is no golden standard for the diagnosis of Kawasaki disease (KD), the most common cause of acquired heart disease in children in many countries. In recent years, many studies have focused on the relationship between microRNAs (miRNAs) and KD. Thus, we perform this meta-analysis to understand the role of circulating miRNAs as a biomarker to detect KD.

Methods: We searched PubMed, EMBASE, the Cochrane Central Register of Controlled Trials, and China National Knowledge Infrastructure through March 10, 2019. Meta-disc 1.4 and STATA 15.1 (Stata Corporation, College Station, TX) were used to conduct the meta-analysis.

Results: Six eligible articles were included in this meta-analysis. The overall performance of total mixed miRNAs detection was: pooled sensitivity, 0.7 (95% confidence interval, 0.66-0.74); pooled specificity, 0.87 (95% confidence interval, 0.83-0.90); and area under the summary receiver operating characteristic curves value (SROC), 0.8302. The meta-regression analysis indicated that the specimen types, the composition of the control group, and types of the reference miRNA were not responsible for the existing heterogeneities. The subgroup analysis showed that SROC of the plasma group (0.8890) was more significant than the serum group (0.7204), and SROC of the non-healthy control group (0.9622) was more significant than the healthy control group (0.8096).

Conclusions: : This is the first meta-analysis show that miRNAs may be used as novel biomarkers for detecting KD, especially for distinguishing KD from other febrile diseases. More studies are needed in the future to clarify the association between KD and miRNAs.

Prospero registration number: CRD42019129976.

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Conflict of interest statement

The authors have no conflicts of interest to disclose.

Figures

Figure 1
Figure 1
Flow chart of the study selection process.
Figure 2
Figure 2
Performance of total mixed miRNAs detection for the diagnosis of Kawasaki disease. (A) Pooled sensitivity. (B) Pooled specificity. (C) Overall DOR. (D) The summary receiver operating characteristic curves value for all datasets.
Figure 3
Figure 3
The meta-regression of the enrolled studies. (A) For the specimen types. (B) For the composition of the control group. (C) For the types of reference microRNA.
Figure 4
Figure 4
Sensitivity analysis of the individual trials on the results total mixed miRNAs.
Figure 5
Figure 5
The Deeks’ test plot for the assessment of potential publication bias. (A) total mixed miRNAs pooled result. (B) Plasma pooled result. (C) Serum pooled result. (D) healthy control pooled result. (E) Non- healthy control pooled result.
See this image and copyright information in PMC

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