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Review
. 2023 Jan 16:10:1071434.
doi: 10.3389/fped.2022.1071434. eCollection 2022.

Diagnostic significance of noncoding RNAs in kawasaki disease: A systematic review and meta-analysis

Affiliations
Review

Diagnostic significance of noncoding RNAs in kawasaki disease: A systematic review and meta-analysis

Xiaoling Zhong et al. Front Pediatr. .

Abstract

Objective: Kawasaki disease (KD) is a systemic vasculitis disease, and early effective intervention would reduce the occurrence of coronary artery lesions (CALs). Recently, many scholars have been committed to studying the relationship between noncoding RNAs and KD. This systematic review aimed to analyze the diagnostic value of noncoding RNAs(ncRNAs) in distinguishing different KD status.

Methods: We searched for the literature about diagnostic values of ncRNAs in KD in CNKI, VIP, Wanfang, China Biomedical Literature Database as well as PubMed, Web of Science, Embase, and Cochrane Library up to April 15, 2022. All included studies were further analyzed using STATA 12.0, Meta-disc 1.4 and RevMan 5.4 software.

Results: A total of six studies investigating the diagnostic performance of ncRNAs in differentiating KD-CAL (n = 101) from KD-NCAL patients (n = 123) were included in this this meta-analysis. The calculated area under the curve(AUC) was 0.83 (0.80-0.86). Four studies on the diagnostic performance of ncRNAs in differentiating acute KD patients (n = 139) from convalescent KD patients (n = 109) were included. The calculated AUC was 0.87 (0.84-0.90). Four studies focused on the diagnostic performance of ncRNAs combined with other laboratory indexes in KD by assessing 137 KD patients and 152 febrile controls. The calculated AUC was 0.90 (0.87-0.92). Four studies assessed the diagnostic performance of ncRNAs in differentiating intravenous immunoglobulin (IVIG)-resistant KD patients from IVIG-responsive KD patients. The calculated AUC was 0.9135 ± 0.0307. These results indicated that ncRNAs have a good diagnostic efficacy in KD.

Conclusions: This meta-analysis showed that ncRNAs have potential as a biomarker for distinguishing different KD status. However, since limited studies were included in this meta-analysis, larger and well-designed diagnostic studies should be conducted to validate these results.

Systematic review registration: INPLASY.COM, identifier: doi: 10.37766/inplasy2022.10.0035.

Keywords: biomarker; diagnosis; kawasaki disease; meta-analysis; noncoding RNA.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
A flow diagram demonstrating the study selection process.
Figure 2
Figure 2
(A) risk of bias and applicability concerns graph: reviews the judgments of the author about each domain presented as percentages across included studies. (B) Risk of bias and applicability concerns summary: reviews judgments of the author about each domain for each included study.
Figure 3
Figure 3
Pooled results of the studies on overall ncRNAs used in the diagnosis for KD-CAL among 6 studies included in the meta-analysis. (A) Pooled sensitivity and specificity; (B) Pooled DOR; (C) SROC.
Figure 4
Figure 4
Pooled results of the studies on ncRNAs combined with other laboratory indexes for KD among 4 studies included in the meta-analysis. (A) Pooled sensitivity and specificity; (B) Pooled DOR; (C) SROC.
Figure 5
Figure 5
Pooled results of the studies on ncRNAs differentiating acute KD patients from convalescent KD patients among 4 studies included in the meta-analysis. (A) Pooled sensitivity and specificity; (B) Pooled DOR; (C) SROC. (D). Sensitivity analysis of the results of the meta-analysis for ncRNAs differentiating acute KD patients from convalescent KD patients.
Figure 6
Figure 6
Pooled results of the studies on ncRNAs differentiating IVIG-resistant KD patients from IVIG-responsive KD patients among 4 studies. (A) Pooled sensitivity and specificity; (B) Pooled DOR; (C) SROC. (D) Sensitivity analysis of the results of the meta-analysis for IVIG-resistant KD patients from IVIG-responsive KD patients.
Figure 7
Figure 7
Deeks funnel plot evaluating the potential publication bias of the included studies. (A) ncRNAs diagnosis for KD-CAL; (B) ncRNAs combined with other laboratory indexes for KD; (C) ncRNAs differentiating acute KD patients from convalescent KD patients; (D) ncRNAs differentiating IVIG-resistant KD patients from IVIG-responsive KD patients.

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