Evidence map›Paper›PMID 27630202›Full record

ArticleDatabase : the journal of biological databases and curation2016

Establishment of Kawasaki disease database based on metadata standard.

Yu Rang Park, Jae-Jung Kim, Young Jo Yoon, Young-Kwang Yoon, Ha Yeong Koo, Young Mi Hong, Gi Young Jang, Soo-Yong Shin, Jong-Keuk Lee, Korean Kawasaki Disease Genetics Consortium

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

10 authors at 3 institutions in 1 country.

Yu Rang ParkClinical Research Center, Asan Institute of Life Sciences, Asan Medical Center, Seoul, Korea Department of Biomedical Informatics, Asan Medical Center, Seoul, Korea.
Jae-Jung KimAsan Institute of Life Sciences, Asan Medical Center, Seoul, Korea.
Young Jo YoonClinical Research Center, Asan Institute of Life Sciences, Asan Medical Center, Seoul, Korea.
Young-Kwang YoonClinical Research Center, Asan Institute of Life Sciences, Asan Medical Center, Seoul, Korea.
Ha Yeong KooClinical Research Center, Asan Institute of Life Sciences, Asan Medical Center, Seoul, Korea.
Young Mi HongDepartment of Pediatrics, Ewha Womans University Hospital, Seoul, Korea.
Gi Young JangDepartment of Pediatrics, Korea University Hospital, Seoul, Korea.
Soo-Yong ShinDepartment of Biomedical Informatics, Asan Medical Center, Seoul, Korea sooyong.shin@amc.seoul.kr.
Jong-Keuk LeeAsan Institute of Life Sciences, Asan Medical Center, Seoul, Korea sooyong.shin@amc.seoul.kr.
Korean Kawasaki Disease Genetics Consortium
Asan Medical Center · KREwha Womans University · KRKorea University Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kawasaki disease (KD) is a rare disease that occurs predominantly in infants and young children. To identify KD susceptibility genes and to develop a diagnostic test, a specific therapy, or prevention method, collecting KD patients' clinical and genomic data is one of the major issues. For this purpose, Kawasaki Disease Database (KDD) was developed based on the efforts of Korean Kawasaki Disease Genetics Consortium (KKDGC). KDD is a collection of 1292 clinical data and genomic samples of 1283 patients from 13 KKDGC-participating hospitals. Each sample contains the relevant clinical data, genomic DNA and plasma samples isolated from patients' blood, omics data and KD-associated genotype data. Clinical data was collected and saved using the common data elements based on the ISO/IEC 11179 metadata standard. Two genome-wide association study data of total 482 samples and whole exome sequencing data of 12 samples were also collected. In addition, KDD includes the rare cases of KD (16 cases with family history, 46 cases with recurrence, 119 cases with intravenous immunoglobulin non-responsiveness, and 52 cases with coronary artery aneurysm). As the first public database for KD, KDD can significantly facilitate KD studies. All data in KDD can be searchable and downloadable. KDD was implemented in PHP, MySQL and Apache, with all major browsers supported.Database URL: http://www.kawasakidisease.kr.

Indexed as

Genome, HumanMetadataMucocutaneous Lymph Node SyndromeProgramming LanguagesWeb BrowserDatabases, GeneticFemaleGenome-Wide Association StudyHumansMaleRepublic of Korea

Identifiers

PMID27630202
PMCPMC4962667
OpenAlexW2476119514

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.