Evidence map›Paper›PMID 33796576›Full record

ReviewFrontiers in cardiovascular medicine2021

Genetic and Cellular Interaction During Cardiovascular Development Implicated in Congenital Heart Diseases.

Kazuki Kodo, Keiko Uchida, Hiroyuki Yamagishi

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 28 citations in OpenAlex.

  1. Functional genomics iniScience · 2026
    Article
  2. [Association between periconception maternal cold and heat exposure and the risk of congenital heart disease in offspring in China].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2026
    Article
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  10. An X-linkedTranslational pediatrics · 2022
    Article
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  12. The TBX1/miR-193a-3p/TGF-Oxidative medicine and cellular longevity · 2022
    Article
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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.

Kazuki KodoDivision of Pediatric Cardiology, Department of Pediatrics, Keio University School of Medicine, Tokyo, Japan.
Keiko UchidaDivision of Pediatric Cardiology, Department of Pediatrics, Keio University School of Medicine, Tokyo, Japan.
Hiroyuki YamagishiDivision of Pediatric Cardiology, Department of Pediatrics, Keio University School of Medicine, Tokyo, Japan.
Keio University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congenital heart disease (CHD) is the most common life-threatening congenital anomaly. CHD occurs due to defects in cardiovascular development, and the majority of CHDs are caused by a multifactorial inheritance mechanism, which refers to the interaction between genetic and environmental factors. During embryogenesis, the cardiovascular system is derived from at least four distinct cell lineages: the first heart field, second heart field, cardiac neural crest, and proepicardial organ. Understanding the genes involved in each lineage is essential to uncover the genomic architecture of CHD. Therefore, we provide an overview of recent research progress using animal models and mutation analyses to better understand the molecular mechanisms and pathways linking cardiovascular development and CHD. For example, we highlight our recent work on genes encoding three isoforms of inositol 1,4,5-trisphosphate receptors (IP

Indexed as

22q11.2 deletionheart fieldinositol trisphosphate receptorneural crestoutflow tractTBX1

Identifiers

PMID33796576
PMCPMC8007765
OpenAlexW3138351621

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.