Evidence map›Paper›PMID 31339592›Full record

SynthesisClinical cardiology2019

A meta-analysis of the relationship between VEGFR2 polymorphisms and atherosclerotic cardiovascular diseases.

Li Wang, Hui Ge, Longyun Peng, Bing Wang

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Clinical cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 35% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  4. Heliyon · 2025
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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

4 authors at 2 institutions in 1 country.

Li WangDepartment of Healthcare, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Hui GeDepartment of Healthcare, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Longyun PengDepartment of Cardiology, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Bing WangDepartment of Radiology, Second Affiliated Hospital, Army Medical University, Chongqing, China.ORCID https://orcid.org/0000-0001-9841-9165
Sun Yat-sen University · CNArmy Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSome previous studies explored associations between vascular endothelial growth factor receptor 2 (VEGFR2) polymorphisms and atherosclerotic cardiovascular diseases (ASCVD), with conflicting findings. HYPOTHESIS: We thought that VEGFR2 polymorphisms may influence susceptibility to ASCVD. Here, we aimed to better analyze the relationship between VEGFR2 polymorphisms and ASCVD in a larger combined population by performing a meta-analysis.

methodsWe searched Pubmed, Embase, and Web of Science for related articles. We calculated odds ratio (OR) and 95% confidence interval (CI) to estimate whether there are genetic associations between VEGFR2 polymorphisms and ASCVD.

resultsTen studies were included for this meta-analysis (5474 cases and 8584 controls). VEGFR2 rs1870377 (dominant comparison: 0.81 (0.73-0.89), I

conclusionsIn summary, this meta-analysis proved that these VEGFR2 polymorphisms could be used to identify individual with elevated susceptibility to ASCVD.

Indexed as

Genetic Predisposition to DiseasePolymorphism, GeneticAtherosclerosisHumansVascular Endothelial Growth Factor Receptor-2KDR protein, humanVascular Endothelial Growth Factor Receptor-2atherosclerotic cardiovascular diseasescoronary artery diseaseischemic strokemeta-analysispolymorphismsvascular endothelial growth factor receptor 2

Identifiers

PMID31339592
PMCPMC6788482
OpenAlexW2962769165

What Socratic 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 Socratic graph.