Evidence map›Paper›PMID 32608479›Full record

ArticleDatabase : the journal of biological databases and curation2020

CHDGKB: a knowledgebase for systematic understanding of genetic variations associated with non-syndromic congenital heart disease.

Lan Yang, Yang Yang, Xingyun Liu, Yongquan Chen, Yalan Chen, Yuxin Lin, Yan Sun, Bairong Shen

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

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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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. MIKB: A manually curated and comprehensive knowledge base for myocardial infarction.Computational and structural biotechnology journal · 2021
    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

8 authors.

Lan YangCenter for Systems Biology, Soochow University, Suzhou 215006, China.
Yang YangSchool of Computer Science and Technology, Soochow University, Suzhou 215006, China.
Xingyun LiuCenter for Systems Biology, Soochow University, Suzhou 215006, China.
Yongquan ChenSchool of Computer Science and Technology, Soochow University, Suzhou 215006, China.
Yalan ChenCenter for Systems Biology, Soochow University, Suzhou 215006, China.
Yuxin LinCenter for Systems Biology, Soochow University, Suzhou 215006, China.
Yan SunInstitutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu 610041, China.
Bairong ShenInstitutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congenital heart disease (CHD) is one of the most common birth defects, with complex genetic and environmental etiologies. The reports of genetic variation associated with CHD have increased dramatically in recent years due to the revolutionary development of molecular technology. However, CHD is a heterogeneous disease, and its genetic origins remain inconclusive in most patients. Here we present a database of genetic variations for non-syndromic CHD (NS-CHD). By manually literature extraction and analyses, 5345 NS-CHD-associated genetic variations were collected, curated and stored in the public online database. The objective of our database is to provide the most comprehensive updates on NS-CHD genetic research and to aid systematic analyses of pathogenesis of NS-CHD in molecular level and the correlation between NS-CHD genotypes and phenotypes. Database URL: http://www.sysbio.org.cn/CHDGKB/.

Indexed as

Databases, FactualKnowledge BasesGenetic VariationHeart Defects, CongenitalHumans

Identifiers

PMID32608479
PMCPMC7327432

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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.