Evidence map›Paper›PMID 39323850›Full record

ArticleHeliyon2024

Percutaneous or surgical LAAO for stroke prevention in patients with atrial fibrillation: A network meta-analysis.

Zihan Zhao, Changjiang Yang, Wenchang Zhang, Changjian He, Guojie Ye, Tengfei Liu, Chunhua Ding

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Zihan ZhaoAerospace Center Hospital, China.
Changjiang YangPeking University People's Hospital, China.
Wenchang ZhangAerospace Center Hospital, China.
Changjian HeAerospace Center Hospital, China.
Guojie YeAerospace Center Hospital, China.
Tengfei LiuAerospace Center Hospital, China.
Chunhua DingAerospace Center Hospital, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stroke, which is mainly caused by thrombus formation in the left atrial appendage, represents the most prevalent complication of atrial fibrillation (AF). Both percutaneous left atrial appendage occlusion (p-LAAO) and surgical LAAO (s-LAAO) are used to treat AF and prevent stroke events. However, no head-to-head randomized controlled trials (RCTs) compared these strategies. Objective: To examine the efficacy and safety of diverse strategies for reducing stroke risk using a network meta-analysis (NMA). Methods: PubMed, EMBASE, and Cochrane repositories were explored to identify RCTs involving p-LAAO or s-LAAO, and five were included for NMA. This investigation adhered to the guidelines outlined in the Preferred Reporting Items for Systematic Reviews and Meta-analyses. The NMA was pooled using the Bayesian random effect framework. All findings were expressed as odds ratios accompanied by a 95 % confidence interval.The primary efficacy endpoint was any stroke (AS), and the secondary efficacy endpoint was combined AS and systematic embolism (AS/SE). The primary and secondary safety endpoints were major bleeding (MB) and all-cause death (ACD), respectively. Results: Our meta-analysis incorporated 6337 individuals diagnosed with AF. The NMA demonstrated a reducing trend in AS and AS/SE for s-LAAO versus p-LAAO, while p-LAAO showed a benefit in reducing MB and ACD. Conclusions: and Relevance: s-LAAO could potentially benefit individuals at elevated risk for stroke, whereas p-LAAO may be linked to a reduced likelihood of bleeding.

Indexed as

Atrial fibrillationNetwork meta-analysisPercutaneous left atrial appendage occlusionStroke preventionSurgical left atrial appendage occlusion

Identifiers

PMID39323850
PMCPMC11421997

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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.