Evidence map›Paper›PMID 40235815›Full record

ArticleQuantitative imaging in medicine and surgery2025

Left-atrioventricular interaction and left-atrial deformation in patients with type 2 diabetes mellitus with or without chronic aortic regurgitation: a 3.0-T cardiac magnetic resonance feature-tracking study.

Li-Ting Shen, Ke Shi, Ying-Kun Guo, Rui Shi, Yi-Ning Jiang, Chen-Yan Min, Zhi-Gang Yang, Yuan Li

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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 synthesis or guideline pooled it.

  1. Pooled it
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

8 authors.

Li-Ting Shen *Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Ke Shi *Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Ying-Kun GuoDepartment of Radiology, West China Second Hospital, Sichuan University, Chengdu, China.
Rui ShiDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Yi-Ning JiangDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Chen-Yan MinDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Zhi-Gang YangDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Yuan LiDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The prevalence of type 2 diabetes mellitus (T2DM) and chronic aortic regurgitation (AR) increases with age and may also increase cardiac morbidity and mortality; however, their comprehensive effects based on cardiac strain remain unexplored. This study aimed to use cardiac magnetic resonance (CMR) feature tracking to investigate the additive effects of T2DM and AR on the left heart and left-atrioventricular interaction in patients with T2DM and AR. Methods: A total of 286 patients with T2DM (203 without AR and 83 with AR) and 105 controls were retrospectively included from January 2015 to October 2022. The patients with T2DM and AR were divided according to echocardiographic findings into three AR groups: mild (n=39), moderate (n=25), and severe (n=19). The left-atrial (LA) phasic function and left-ventricular (LV) function parameters were compared to determine the additive effects of T2DM and AR and their interaction. Multivariate analysis was performed to identify the independent indicators of LA longitudinal strain. Results: Compared with controls, the patients with T2DM without AR had a lower total LA emptying fraction (LAEF) and passive LAEF (all P values <0.05). The patients with T2DM and mild AR showed decreased LA reservoir strain (ε Conclusions: AR may aggravate LA and LV dysfunction in patients with T2DM. Regurgitation degree was an independent factor contributing to ε

Indexed as

aortic regurgitation (AR)atrioventricular interactioncardiac magnetic resonance feature trackingleft-atrial phasic functionType 2 diabetes mellitus (T2DM)

Identifiers

PMID40235815
PMCPMC11994556

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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.