Evidence map›Paper›PMID 38841258›Full record

ArticleFrontiers in cardiovascular medicine2024

Left atrial appendage closure outcomes in relation to atrial fibrillation patterns: a comprehensive analysis.

Mingzhong Zhao, Jiangtao Yu, Cody R Hou, Felix Post, Lei Zhang, Yuhui Xu, Nora Herold, Jens Walsleben

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2024. 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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0citing papers 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

The trial behind it

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

8 authors.

Mingzhong ZhaoCardiovascular Center, Chengdu Shuangnan Hospital, Chengdu, China.
Jiangtao YuDepartment of Cardiology, Helmut-G.-Walther-Klinikum, Lichtenfels, Germany.
Cody R HouCardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, United States.
Felix PostClinic for General Internal Medicine and Cardiology, Catholic Medical Center Koblenz-Montabaur, Koblenz, Germany.
Lei ZhangCardiovascular Center, Chengdu Shuangnan Hospital, Chengdu, China.
Yuhui XuCardiovascular Center, Chengdu Shuangnan Hospital, Chengdu, China.
Nora HeroldClinic for General Internal Medicine and Cardiology, Catholic Medical Center Koblenz-Montabaur, Koblenz, Germany.
Jens WalslebenClinic for General Internal Medicine and Cardiology, Catholic Medical Center Koblenz-Montabaur, Koblenz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The effect of atrial fibrillation (AF) patterns on outcomes remains controversial. This study aims to evaluate the influence of AF type on the risk of cardiocerebrovascular events after left atrial appendage closure (LAAC) at long-term follow-up. Methods: AF was categorized as paroxysmal AF (PAF) and non-PAF (NPAF). The baseline characteristics, procedural data, peri-procedural complications, and long-term outcomes between patients with PAF and NPAF after LAAC were compared. Results: We analyzed 410 AF patients (mean age 74.8 ± 8.2 years; 271 male; 144 with PAF, 266 NPAF). The NPAF group tended to be older (≥75 years), male, and have chronic kidney disease (CKD) compared with the PAF group. The procedural data and peri-procedural complications were comparable. During 2.2 ± 1.5 years of follow-up, the incidences of thromboembolism, major bleeding, and device-related thrombus (DRT) did not differ between the two groups. The observed risk of thromboembolism and major bleeding was significantly lower than the estimated risk based on the CHA Conclusions: The risk of thromboembolism and major bleeding was lower in patients who underwent LAAC, regardless of the AF type. Although NPAF often coexists with multiple risk factors, it was not associated with worse long-term outcomes after LAAC when compared with PAF.

Indexed as

atrial fibrillationatrial fibrillation patternleft atrial appendage closureoutcomesthromboembolism

Identifiers

PMID38841258
PMCPMC11150762

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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.