Evidence map›Paper›PMID 39995699›Full record

ArticleQuantitative imaging in medicine and surgery2025

Value of two-dimensional speckle-tracking echocardiography in the assessment of left atrial function in patients with chronic kidney disease.

Xiaohua Liu, Guijuan Peng, Ying Guo, Shuyu Luo, Qian Liu, Xiaofang Zhong, Yuanyuan Sheng, Yuxiang Huang, Xiaoxuan Lin, Lixin Chen and 2 more

Abstract read
PubMed Full text at PMC Publisher
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.

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

12 authors.

Xiaohua Liu *Shenzhen Medical Ultrasound Engineering Center, Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.ORCID https://orcid.org/0000-0002-3981-8980
Guijuan Peng *Shenzhen Medical Ultrasound Engineering Center, Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.
Ying Guo *Shenzhen Medical Ultrasound Engineering Center, Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.
Shuyu Luo *Shenzhen Medical Ultrasound Engineering Center, Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.
Qian LiuShenzhen Medical Ultrasound Engineering Center, Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.
Xiaofang ZhongShenzhen Medical Ultrasound Engineering Center, Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.
Yuanyuan ShengShenzhen Medical Ultrasound Engineering Center, Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.
Yuxiang HuangShenzhen Medical Ultrasound Engineering Center, Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.
Xiaoxuan LinShenzhen Medical Ultrasound Engineering Center, Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.
Lixin ChenShenzhen Medical Ultrasound Engineering Center, Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.
Jinfeng XuShenzhen Medical Ultrasound Engineering Center, Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.ORCID https://orcid.org/0000-0002-0571-4155
Yingying LiuShenzhen Medical Ultrasound Engineering Center, Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.ORCID https://orcid.org/0000-0002-6792-8933

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The rising prevalence of chronic kidney disease (CKD) has emerged as a global public health concern, posing a significant threat to human health. This study aimed to assess changes in left atrial (LA) function in patients with CKD with left ventricular hypertrophy (LVH) using two-dimensional speckle-tracking echocardiography (2D-STE) and to investigate the independent correlations between baseline parameters and LA strain and strain rate. Methods: We conducted a prospective study that included patients diagnosed with CKD at Shenzhen People's Hospital between November 2020 and September 2021. Healthy participants were enrolled as a healthy control group. Conventional transthoracic echocardiography was performed to obtain conventional ultrasound parameters, with cines analyzed offline to determine strain and strain rate parameters. Single-factor analysis of variance was used to compare the groups. The relationship between different variables and LA strain and strain rate was analyzed by general linear regression. The relationship between left ventricular mass index (LVMI) and LA strain and strain rate was analyzed by multifactor linear regression. Results: The study included 236 participants: 166 patients with CKD (85 in the CKD Conclusions: LA strain and strain rate are valuable indicators for detecting early LA functional changes in patients with CKD. LVMI independently negatively impacts all LA strain and strain rates and may be a predictor of cardiovascular events.

Indexed as

Chronic kidney disease (CKD)left ventricular hypertrophy (LVH)strainstrain ratetwo-dimensional speckle-tracking echocardiography (2D-STE)

Identifiers

PMID39995699
PMCPMC11847196

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Registered trials

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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.