Evidence map›Paper›PMID 41844714›Full record

ArticleScientific reports2026

Ischemic stroke prediction model of sick sinus syndrome patients without atrial fibrillation: insights from atrial myopathy.

Yiheng Yang, Haoyu Dong, Shihao Wang, Yushan Wei, Rongfeng Zhang, Xiaomeng Yin, Lianjun Gao, Yingxue Dong, Xiaolei Yang, Yunlong Xia

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yiheng Yang *Department of Cardiology, First Affiliated Hospital of Dalian Medical University, No. 222. Zhongshan Road, Dalian, Liaoning Province, China.
Haoyu Dong *Department of Cardiology, First Affiliated Hospital of Dalian Medical University, No. 222. Zhongshan Road, Dalian, Liaoning Province, China.
Shihao WangDepartment of Cardiology, First Affiliated Hospital of Dalian Medical University, No. 222. Zhongshan Road, Dalian, Liaoning Province, China.
Yushan WeiDepartment of Cardiology, First Affiliated Hospital of Dalian Medical University, No. 222. Zhongshan Road, Dalian, Liaoning Province, China.
Rongfeng ZhangDepartment of Cardiology, First Affiliated Hospital of Dalian Medical University, No. 222. Zhongshan Road, Dalian, Liaoning Province, China.
Xiaomeng YinDepartment of Cardiology, First Affiliated Hospital of Dalian Medical University, No. 222. Zhongshan Road, Dalian, Liaoning Province, China.
Lianjun GaoDepartment of Cardiology, First Affiliated Hospital of Dalian Medical University, No. 222. Zhongshan Road, Dalian, Liaoning Province, China.
Yingxue DongDepartment of Cardiology, First Affiliated Hospital of Dalian Medical University, No. 222. Zhongshan Road, Dalian, Liaoning Province, China.
Xiaolei YangDepartment of Cardiology, First Affiliated Hospital of Dalian Medical University, No. 222. Zhongshan Road, Dalian, Liaoning Province, China.
Yunlong XiaDepartment of Cardiology, First Affiliated Hospital of Dalian Medical University, No. 222. Zhongshan Road, Dalian, Liaoning Province, China. yunlong_xia@126.com.

Funding

National Key Research and Development Program of China 2022YFC2405002
6 · The paper itself

Abstract

Sick Sinus Syndrome (SSS) has been identified as a risk factor for ischemic stroke. Thrombus assessment in SSS patients without atrial fibrillation (AF) or atrial flutter (AFL) remains underexplored. We aims to develop a predictive model for ischemic stroke risk specifically in SSS patients without AF/AFL. Patients diagnosed with SSS and without AF/AFL were consecutively enrolled from single center. Incident AF/AFL cases were excluded during follow-up period. Symptomatic ischemic stroke was confirmed by reviewing the all available medical records. After a median follow-up of 1215 days, 187 out of 1645 (11.9%) patients experienced symptomatic ischemic stroke. Key predictors identified via multivariable Cox regression included age, left atrial diameter (LAD), prolonged P-wave duration (PWD), neutrophil-lymphocyte ratio (NLR), non-AF atrial tachyarrhythmias, and prior thrombotic events. These variables were incorporated into our nomogram prediction model, which demonstrated superior calibration and performance compared to the CHA2DS2-VASc score. The incidence of new-onset ischemic stroke in SSS patients is notably high, warranting focused attention in clinical practice. We developed the model evaluate the risk for ischemic stroke of SSS patients without AF/AFL and internally validated. This risk score performs better than CHA2DS2-VASC score and may providing evidence of thrombus assessment in patients with atrial myopathy.

Indexed as

Ischemic StrokeMuscular DiseasesSick Sinus SyndromeAgedAtrial FibrillationFemaleHumansIncidenceMaleMiddle AgedRisk AssessmentRisk FactorsAtrial myopathyIschemic strokePrediction modelSick sinus syndrome

Identifiers

PMID41844714
PMCPMC13076684

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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.