Evidence map›Paper›PMID 40269690›Full record

ArticleBMC cardiovascular disorders2025

Prediction model and scoring system for the risk of atrial fibrillation recurrence in patients with atrial fibrillation and obstructive sleep apnoea syndrome: a retrospective case-control study.

Xiaoting Zhang, Meng Wei, Pengjie Xue, Yanmei Lu, Baopeng Tang

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Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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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. Review
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xiaoting Zhang *Department of Cardiac Pacing and Electrophysiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830000, China.
Meng Wei *Department of Cardiac Pacing and Electrophysiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830000, China.
Pengjie XueDepartment of Cardiac Pacing and Electrophysiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830000, China.
Yanmei LuDepartment of Cardiac Pacing and Electrophysiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830000, China. 18909917855@189.cn.
Baopeng TangDepartment of Cardiac Pacing and Electrophysiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830000, China. tangbaopeng1111@163.com.

Funding

Key R&D Program of Xinjiang Uygur Autonomous Region 2022B03023Youth Scientific Research Voyage 2023YFY-QKMS-09
6 · The paper itself

Abstract

backgroundThe high prevalence of atrial fibrillation (AF) and obstructive sleep apnea syndrome (OSAS) imposes a substantial disease burden on public healthcare, making it a significant health concern in the current era. However, there is currently a lack of risk assessment tools for AF recurrence in patients with AF and OSAS. Therefore, this study aims to explore the factors influencing AF recurrence in patients with AF and OSAS, and to establish a predictive model and scoring system for AF recurrence rates.

methodsThe study included a total of 423 patients with AF and OSAS, who were randomly divided into train set (n = 296) and test set (n = 127) in a ratio of 7:3. Afterwards, the train set was split into a recurrence group and a non-recurrence group for further analysis of indicators while in hospital.

resultsFollowing Lasso regression screening, 8 variables were selected from a pool of 62 variables from patients with AF and OSAS. Additionally, the study incorporated the CHA

conclusionThe predictive models and scoring systems developed in this study demonstrate good predictive ability in assessing the recurrence of AF in patients with OSAS, offering invaluable clinical guidance and references. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Atrial FibrillationDecision Support TechniquesSleep Apnea, ObstructiveAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsRecurrenceRetrospective StudiesRisk AssessmentRisk FactorsTime FactorsAtrial fibrillationObstructive sleep apnea syndromePrediction modelRecurrence

Identifiers

PMID40269690
PMCPMC12016155

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.