Evidence map›Paper›PMID 27981487›Full record

ArticleJournal of cardiovascular translational research2017

Serum miR-92a-3p as a New Potential Biomarker for Diagnosis of Kawasaki Disease with Coronary Artery Lesions.

Xing Rong, Lianhong Jia, Lanlan Hong, Lulu Pan, Xiangyang Xue, Chunxiang Zhang, Jiacheng Lu, Zengyou Jin, Huixian Qiu, Rongzhou Wu and 1 more

Abstract read
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In one paragraph

Article in Journal of cardiovascular translational research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. METTL3-mediated mApplied biochemistry and biotechnology · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Diagnosis, Progress, and Treatment Update of Kawasaki Disease.International journal of molecular sciences · 2023
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. MicroRNAs in heart and circulation during physical exercise.Journal of sport and health science · 2018
    Review
  17. Article
  18. Lack of association betweenBioscience reports · 2018
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Xing RongChildren's Heart Center, the Second Affiliated Hospital & Yuying Children's Hospital, Institute of Cardiovascular Development and Translational Medicine, Wenzhou Medical University, Wenzhou, 325027, Zhejiang, China.
Lianhong JiaDepartment of Second Pediatrics, The People's Hospital of Langfang City, Langfang, 065000, Hebei, China.
Lanlan HongChildren's Heart Center, the Second Affiliated Hospital & Yuying Children's Hospital, Institute of Cardiovascular Development and Translational Medicine, Wenzhou Medical University, Wenzhou, 325027, Zhejiang, China.
Lulu PanChildren's Heart Center, the Second Affiliated Hospital & Yuying Children's Hospital, Institute of Cardiovascular Development and Translational Medicine, Wenzhou Medical University, Wenzhou, 325027, Zhejiang, China.
Xiangyang XueDepartment of Microbiology and Immunology, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China.
Chunxiang ZhangDepartment of Biomedical Engineering, School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, 35233, USA.
Jiacheng LuDepartment of Pediatrics, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325015, Zhejiang, China.
Zengyou JinDepartment of Pediatrics, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325015, Zhejiang, China.
Huixian QiuChildren's Heart Center, the Second Affiliated Hospital & Yuying Children's Hospital, Institute of Cardiovascular Development and Translational Medicine, Wenzhou Medical University, Wenzhou, 325027, Zhejiang, China.
Rongzhou WuChildren's Heart Center, the Second Affiliated Hospital & Yuying Children's Hospital, Institute of Cardiovascular Development and Translational Medicine, Wenzhou Medical University, Wenzhou, 325027, Zhejiang, China. wrz71@hotmail.com.
Maoping ChuChildren's Heart Center, the Second Affiliated Hospital & Yuying Children's Hospital, Institute of Cardiovascular Development and Translational Medicine, Wenzhou Medical University, Wenzhou, 325027, Zhejiang, China. chmping@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have suggested that serum microRNAs (miRNAs) are novel biomarkers for many cardiovascular diseases, but their role in Kawasaki disease (KD) is still unclear. We demonstrated that serum miR-92a-3p levels were significantly higher in children with KD compared with children with fever and controls (both P < 0.05). When the disease recovered, miR-92a-3p levels returned to those of controls. Clinical and pathological data showed that high levels of miR-92a-3p were significantly associated with coronary artery lesions (CALs). Analysis of the receiver operating characteristic (ROC) curve showed that serum miR-92a-3p had a sensitivity of 81.8% and a specificity of 66.7% for distinguishing KD with CALs from KD without CALs. The area under the curve was 0.816 (P < 0.05, 95% CI 0.669-0.962). Therefore, the miRNA miR-92a-3p may be used as a potential biomarker for diagnosis of KD and KD with coronary artery lesions.

Indexed as

Area Under CurveCase-Control StudiesCells, CulturedChild, PreschoolCoronary Artery DiseaseFemaleGenetic MarkersHumansHuman Umbilical Vein Endothelial CellsInfantMaleMicroRNAsMucocutaneous Lymph Node SyndromePredictive Value of TestsROC CurveGenetic MarkersMicroRNAsMIRN92 microRNA, humanBiomarkerCoronary artery lesionKawasaki diseaseMicroRNA

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.