Evidence mapPaperPMID 40529348Full record

ReviewInternational journal of general medicine2025

CircRNA Networks in CAD: Multi-Cellular Mechanisms and Clinical Potential.

Huan Cheng, Xinyu Wu, Jingru Li, Luqiao Wang

Abstract readReview
In one paragraph

Review in International journal of general medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. 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

4 authors.

Huan ChengDepartment of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, People's Republic of China.
Xinyu WuDepartment of Cardiology, Zhumadian City Central Hospital, Zhumadian, Henan, 463000, People's Republic of China.
Jingru LiDepartment of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, People's Republic of China.
Luqiao WangDepartment of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary artery disease (CAD), is a global cardiovascular disease that is characterized by myocardial ischemia and hypoxia caused by coronary artery occlusion. Circular RNAs (CircRNAs) is a particular kind of endogenous non-coding RNA, which can affect the occurrence and development of CAD. Concurrently, several circRNAs display stable persistence in CAD patients, attributable to their exceptional exonuclease resistance, thereby harboring the capacity to evolve into a biomarker for CAD diagnosis and prognosis. This article endeavors to clarify the pivotal role of circRNAs in the intricate pathophysiological processes underlying CAD patients or CAD disease models based on their unique biological characteristics and functionalities, and further discuss their prospects in clinical applications of CAD.

Indexed as

anti-nuclease activitydiagnostic biomarkersendothelial cellsvascular smooth muscle cells; myocardial cells; cardiac fibroblasts

Identifiers

PMID40529348
PMCPMC12170827

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.