Evidence map›Paper›PMID 33691912›Full record

ArticleZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2021

[Interpretation of the JCS/JSCS 2020 guideline on diagnosis and management of cardiovascular sequelae in Kawasaki disease].

Zhi-Long Mu, Fu-Yong Jiao, Kai-Sheng Xie

Open access · greenAbstract read
In one paragraph

Article in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Diagnostic Value ofPediatric cardiology · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. [Diagnosis and treatment of incomplete Kawasaki disease in children].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023
    Review
  7. Pediatric expert consensus on the application of glucocorticoids in Kawasaki disease.Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2022
    Article
  8. 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 1 institution in 1 country.

Zhi-Long MuChildren's Hospital of Shaanxi Provincial People's Hospital/Diagnosis and Treatment Center of Kawasaki Disease of Shaanxi Province, Xi'an 710068, China.
Fu-Yong JiaoChildren's Hospital of Shaanxi Provincial People's Hospital/Diagnosis and Treatment Center of Kawasaki Disease of Shaanxi Province, Xi'an 710068, China.
Kai-Sheng Xie
Shanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kawasaki disease is the main cause of acquired heart disease in children. The cardiovascular sequelae of Kawasaki disease, such as coronary artery lesion and giant coronary aneurysm, have a great impact on children's physical and mental health. The Japanese Circulatory Society and the Japanese Society of Cardiac Surgery jointly released the JCS/JSCS 2020 guideline on diagnosis and management of cardiovascular sequelae in Kawasaki disease in July, 2020, which systematically introduces the advances in the diagnosis and management of cardiovascular sequelae of Kawasaki disease. The article gives an interpretation in the severity evaluation of Kawasaki disease and diagnosis, treatment and long-term management of cardiovascular sequelae in the guideline.

Indexed as

Coronary AneurysmHeart DiseasesMucocutaneous Lymph Node SyndromeChildCoronary VesselsDisease ProgressionHumans

Identifiers

PMID33691912
PMCPMC7969191
OpenAlexW3134290026

What OpenQuestion holds

Textmetadata
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.