Evidence map›Paper›PMID 23533546›Full record

ReviewComputational and mathematical methods in medicine2013

Understanding the pathogenesis of Kawasaki disease by network and pathway analysis.

Yu-wen Lv, Jing Wang, Ling Sun, Jian-min Zhang, Lei Cao, Yue-yue Ding, Ye Chen, Ji-juan Dou, Jie Huang, Yi-fei Tang and 3 more

Open access · hybridAbstract readReview
In one paragraph

Review in Computational and mathematical methods in medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 9% of its field
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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Antibodies and Immunity During Kawasaki Disease.Frontiers in cardiovascular medicine · 2020
    Review
  14. Kawasaki Disease and Allergic Diseases.Frontiers in pediatrics · 2020
    Review
  15. Article
  16. B Cells and Antibodies in Kawasaki Disease.International journal of molecular sciences · 2019
    Review
  17. Review
  18. Article
  19. Review
  20. Review
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

13 authors at 1 institution in 1 country.

Yu-wen LvDepartment of Pediatric Cardiology, Children's Hospital of Soochow University, Suzhou 215003, China.
Jing Wang
Ling Sun
Jian-min Zhang
Lei Cao
Yue-yue Ding
Ye Chen
Ji-juan Dou
Jie Huang
Yi-fei Tang
Wen-tao Wu
Wei-rong Cui
Hai-tao Lv
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kawasaki disease (KD) is a complex disease, leading to the damage of multisystems. The pathogen that triggers this sophisticated disease is still unknown since it was first reported in 1967. To increase our knowledge on the effects of genes in KD, we extracted statistically significant genes so far associated with this mysterious illness from candidate gene studies and genome-wide association studies. These genes contributed to susceptibility to KD, coronary artery lesions, resistance to initial IVIG treatment, incomplete KD, and so on. Gene ontology category and pathways were analyzed for relationships among these statistically significant genes. These genes were represented in a variety of functional categories, including immune response, inflammatory response, and cellular calcium ion homeostasis. They were mainly enriched in the pathway of immune response. We further highlighted the compelling immune pathway of NF-AT signal and leukocyte interactions combined with another transcription factor NF- κ B in the pathogenesis of KD. STRING analysis, a network analysis focusing on protein interactions, validated close contact between these genes and implied the importance of this pathway. This data will contribute to understanding pathogenesis of KD.

Indexed as

Gene Regulatory NetworksGenetic Predisposition to DiseaseMetabolic Networks and PathwaysChildComputational BiologyDatabases, GeneticGenome-Wide Association StudyHumansInflammationLeukocytesLinkage DisequilibriumModels, StatisticalMucocutaneous Lymph Node SyndromeNFATC Transcription FactorsNF-kappa BPolymorphism, Single NucleotideNFATC Transcription FactorsNF-kappa B

Identifiers

PMID23533546
PMCPMC3606754
OpenAlexW2078539405

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.