Evidence map›Paper›PMID 36871006›Full record

ReviewDiabetology & metabolic syndrome2023

Potential clinical biomarkers and perspectives in diabetic cardiomyopathy.

Jianxin Deng, Fang Yan, Jinglun Tian, Aijun Qiao, Dewen Yan

Open access · goldAbstract readReview
In one paragraph

Review in Diabetology & metabolic syndrome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
7.2field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 33 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 5 institutions in 1 country.

Jianxin Deng *Department 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, No. 3002, Sungang West Road, Futian District, Shenzhen, 518035, Guangdong Province, China.
Fang Yan *Geriatric Diseases Institute of Chengdu, Center for Medicine Research and Translation, Chengdu Fifth People's Hospital, Chengdu, 611137, Sichuan Province, China.
Jinglun TianDepartment of Geriatrics, the Traditional Chinese Medicine Hospital of Wenjiang District, Chengdu, 611130, China.
Aijun QiaoZhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan, 528400, Guangdong Province, China. qiaoaijun@simm.ac.can.
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, No. 3002, Sungang West Road, Futian District, Shenzhen, 518035, Guangdong Province, China. yandw963@126.com.
Chengdu Fifth People's Hospital · CNShanghai Institute of Materia Medica · CNShenzhen Second People's Hospital · CNShenzhen University Health Science Center · CNWenzhou Hospital of Traditional Chinese Medicine · CN

Funding

Basic Research Foundation of Shenzhen JCYJ20170306092910641National Social Science Fund of China 81670759
6 · The paper itself

Abstract

Diabetic cardiomyopathy (DCM) is a serious cardiovascular complication and the leading cause of death in diabetic patients. Patients typically do not experience any symptoms and have normal systolic and diastolic cardiac functions in the early stages of DCM. Because the majority of cardiac tissue has already been destroyed by the time DCM is detected, research must be conducted on biomarkers for early DCM, early diagnosis of DCM patients, and early symptomatic management to minimize mortality rates among DCM patients. Most of the existing implemented clinical markers are not very specific for DCM, especially in the early stages of DCM. Recent studies have shown that a number of new novel markers, such as galactin-3 (Gal-3), adiponectin (APN), and irisin, have significant changes in the clinical course of the various stages of DCM, suggesting that we may have a positive effect on the identification of DCM. As a summary of the current state of knowledge regarding DCM biomarkers, this review aims to inspire new ideas for identifying clinical markers and related pathophysiologic mechanisms that could be used in the early diagnosis and treatment of DCM.

Indexed as

ApelinBiomarkersDiabetic cardiomyopathyGalactin-3IrisinNLRP3 inflammasome

Identifiers

PMID36871006
PMCPMC9985231
OpenAlexW4323050002

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.