Evidence map›Paper›PMID 35004678›Full record

ReviewFrontiers in cell and developmental biology2021

Research Progress on Epigenetics of Diabetic Cardiomyopathy in Type 2 Diabetes.

Jianxin Deng, Yunxiu Liao, Jianpin Liu, Wenjuan Liu, Dewen Yan

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Jianxin DengDepartment of Endocrinology, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Health Science Center of Shenzhen University; Shenzhen Clinical Research Center for Metabolic Diseases, Shenzhen, China.
Yunxiu LiaoHealth Science Center of Shenzhen University, Shenzhen, China.
Jianpin LiuHealth Science Center of Shenzhen University, Shenzhen, China.
Wenjuan LiuHealth Science Center of Shenzhen University, Shenzhen, China.
Dewen YanDepartment of Endocrinology, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Health Science Center of Shenzhen University; Shenzhen Clinical Research Center for Metabolic Diseases, Shenzhen, China.
Shenzhen University Health Science Center · CNShenzhen Second People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic cardiomyopathy (DCM) is characterized by diastolic relaxation abnormalities in its initial stages and by clinical heart failure (HF) without dyslipidemia, hypertension, and coronary artery disease in its last stages. DCM contributes to the high mortality and morbidity rates observed in diabetic populations. Diabetes is a polygenic, heritable, and complex condition that is exacerbated by environmental factors. Recent studies have demonstrated that epigenetics directly or indirectly contribute to pathogenesis. While epigenetic mechanisms such as DNA methylation, histone modifications, and non-coding RNAs, have been recognized as key players in the pathogenesis of DCM, some of their impacts remain not well understood. Furthering our understanding of the roles played by epigenetics in DCM will provide novel avenues for DCM therapeutics and prevention strategies.

Indexed as

diabetesdiabetic cardiomyopathyepigeneticshyperglycemiamethylation

Identifiers

PMID35004678
PMCPMC8740193
OpenAlexW4200450394

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.