Evidence map›Paper›PMID 40063159›Full record

ArticleThe international journal of cardiovascular imaging2025

Usefulness of two-dimensional speckle tracking echocardiography in assessment of left atrial fibrosis degree and its application in atrial fibrillation.

Yuzhe Song, Lijuan Huang, Cheng Jiang, Fang Du, Jing Zhang, Peng Chang

Abstract read
In one paragraph

Article in The international journal of cardiovascular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. 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

6 authors.

Yuzhe SongThe Second School of Clinical Mdeical, Lanzhou University, Lanzhou, 730030, China.
Lijuan HuangThe Second School of Clinical Mdeical, Lanzhou University, Lanzhou, 730030, China.
Cheng JiangDepartment of Cardiology, Lanzhou University Second Hospital, Lanzhou, 730030, China.
Fang DuDepartment of Cardiovascular Ultrasound, Lanzhou University Second Hospital, Lanzhou, 730030, China.
Jing ZhangDepartment of Cardiac Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, 730030, China.
Peng ChangThe Second School of Clinical Mdeical, Lanzhou University, Lanzhou, 730030, China. pchang@lzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to establish a clinical prediction model for assessing the degree of left atrial fibrosis (LAF) in patients with atrial fibrillation (AF) by combining two-dimensional speckle tracking echocardiography (2D-STE). Additionally, the study sought to evaluate the predictive utility of 2D-STE for left atrial appendage thrombosis (LAAT) and the recurrence of AF after radiofrequency catheter ablation (RFA). A total of 195 patients with AF were included, and late gadolinium enhanced cardiac magnetic resonance was adopted to assess LAF degree. Fibrotic tissue as a percentage of total left atrial wall volume > 20% was defined as severe LAF. Echocardiographic parameters were obtained and analyzed using 2D-STE. The patients were randomly divided into two cohorts (7:3) as the training and testing cohorts. Independent predictors of severe LAF were determined via univariate and multivariate logistic regression, including age, CHA

Indexed as

Atrial FibrillationAtrial Function, LeftAtrial RemodelingEchocardiographyHeart AtriaAgedAtrial AppendageCatheter AblationFemaleFibrosisHumansMaleMiddle AgedNomogramsPredictive Value of TestsRecurrenceAblationAtrial fibrillationFibrosisLeft atrial appendage thrombosisLeft atrial strain

Identifiers

PMID40063159
PMCPMC11982115

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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.