Evidence map›Paper›PMID 37456866›Full record

ArticlePeerJ2023

Alteration of the oral and gut microbiota in patients with Kawasaki disease.

Qinghuang Zeng, Renhe Zeng, Jianbin Ye

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
9.8field-weighted citation impact, top 1% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Frontiers in microbiology · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Gut Microbiota Alterations in Patients With Kawasaki Disease.Arteriosclerosis, thrombosis, and vascular biology · 2025
    Review
  11. Article
  12. Article
  13. [Characteristics of intestinal microbiota in the acute phase of Kawasaki disease in infants and children].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2024
    Article
  14. Article
  15. Article
  16. 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

3 authors at 2 institutions in 1 country.

Qinghuang ZengSchool of Clinical Medicine, Fujian Medical University, Fuzhou, China.
Renhe ZengSchool of Clinical Medicine, Fujian Medical University, Fuzhou, China.
Jianbin YeSchool of Basic Medicine Science, Putian University, Putian, China.
Fujian Medical University · CNPutian University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Kawasaki disease (KD) is a multi-systemic vasculitis that primarily affects children and has an unknown cause. Although an increasing number of studies linking the gut microbiota with KD, the unchallengeable etiology of KD is not available. Methods: Here, we obtained fecal and oral samples from KD patients and healthy controls, and then we use high-throughput sequencing to examine the diversity and composition of microbiota. Results: Results showed that both in the gut and oral microbiota, the diversity of KD patients was significantly lower than that of the healthy controls. In the gut microbiota, a higher abundance of Conclusions: These results suggested that the dysbiosis of gut and oral microbiota are both related to KD pathogenesis, of which, the prevalence of

Indexed as

Gastrointestinal MicrobiomeMicrobiotaMucocutaneous Lymph Node SyndromeShigellaChildEnterococcusEscherichiaFecesHumansGut microbiotaIllumina sequencingKawasaki diseaseOral microbiotaStreptococcus

Identifiers

PMID37456866
PMCPMC10340105
OpenAlexW4383736216

What OpenQuestion holds

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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.