Evidence map›Paper›PMID 42460741›Full record

ArticleCardiovascular therapeutics2026

Development and Validation of a Nomogram for Estimating Stroke Risk in Nonvalvular Atrial Fibrillation Patients With Left Atrial Stiffness: A Single-Center Cross-Sectional Study.

Decai Zeng, Xiangling Cao, Yongzhi Cai, Tongtong Huang, Shuai Chang, Bingling Wu, Ji Wu

Abstract readValidation Study
In one paragraph

Article in Cardiovascular therapeutics, 2026. 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

7 authors.

Decai ZengDepartment of Ultrasonic Medicine, First Affiliated Hospital of Guangxi Medical University, Nanning, China, gxmu.edu.cn.ORCID https://orcid.org/0000-0002-0530-2679
Xiangling CaoDepartment of Rehabilitation Medicine, First Affiliated Hospital of Guangxi Medical University, Nanning, China, gxmu.edu.cn.ORCID https://orcid.org/0000-0003-2072-1756
Yongzhi CaiDepartment of Ultrasonic Medicine, First Affiliated Hospital of Guangxi Medical University, Nanning, China, gxmu.edu.cn.
Tongtong HuangDepartment of Ultrasonic Medicine, First Affiliated Hospital of Guangxi Medical University, Nanning, China, gxmu.edu.cn.ORCID https://orcid.org/0000-0002-0716-1179
Shuai ChangDepartment of Ultrasonic Medicine, First Affiliated Hospital of Guangxi Medical University, Nanning, China, gxmu.edu.cn.ORCID https://orcid.org/0009-0004-1606-7741
Bingling WuDepartment of Ultrasonic Medicine, First Affiliated Hospital of Guangxi Medical University, Nanning, China, gxmu.edu.cn.
Ji WuDepartment of Ultrasonic Medicine, First Affiliated Hospital of Guangxi Medical University, Nanning, China, gxmu.edu.cn.ORCID https://orcid.org/0009-0006-6550-5589

Funding

"139" Project of Guangxi Medical G201903014Natural Science Foundation of Guangxi Province 2023GXNSFDA026010Youth Science Foundation of Guangxi Medical University GXMUYSF201916
6 · The paper itself

Abstract

backgroundNonvalvular atrial fibrillation (NVAF) is a prevalent arrhythmia associated with an increased risk of ischemic stroke. This study is aimed at assessing the clinical significance of echocardiographic left atrial (LA) stiffness and developing a nomogram integrating clinical and echocardiographic parameters to evaluate individualized stroke risk in NVAF patients.

methodsWe enrolled 402 consecutive NVAF patients between January 2020 and March 2023. Clinical and echocardiographic data were collected, and patients were randomly assigned to training (n = 281) and validation (n = 121) datasets. Univariate and multivariate logistic regression identified independent stroke risk factors, which were used to construct a nomogram. Model performance was evaluated by receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis. The reclassification ability of the nomogram was assessed using integrated discrimination improvement (IDI) and net reclassification improvement (NRI).

resultsLogistic regression identified LA stiffness, LA reservoir strain, hypertension, peripheral vascular disease, and anticoagulation as independent factors associated with stroke. The nomogram based on these factors showed excellent discrimination, with a C-statistic of 0.889 (0.847-0.924) in the training cohort and 0.880 (0.808-0.932) in the validation cohort. Model A (LA stiffness, LA reservoir strain, hypertension, peripheral vascular disease, and anticoagulation) provided better net reclassification and integrated discrimination than Model B (LA stiffness, LA reservoir strain, hypertension, and peripheral vascular disease) despite both outperforming the CHA

conclusionA nomogram incorporating LA stiffness, LASr, hypertension, and peripheral vascular disease can effectively identify the risk of stroke in NVAF patients. Additionally, a secondary model including anticoagulation showed further improved performance but requires prospective validation. Elevated LA stiffness might play a role in the development of stroke in NVAF by influencing LA appendage hemodynamics.

Indexed as

Atrial FibrillationAtrial Function, LeftDecision Support TechniquesEchocardiographyNomogramsStrokeAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisReproducibility of Resultsleft atrial stiffnessnomogramnonvalvular atrial fibrillationstroke

Identifiers

PMID42460741
PMCPMC13373946

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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.