Evidence map›Paper›PMID 35032332›Full record

ReviewPacing and clinical electrophysiology : PACE2022

2019 Chinese expert consensus statement on left atrial appendage closure in patients with atrial fibrillation.

He Ben, Ma Changsheng, Wu Shulin

Abstract readReviewConsensus Statement
In one paragraph

Review in Pacing and clinical electrophysiology : PACE, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

3 authors.

He BenDepartment of Cardiology, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.ORCID 0000-0002-3154-6570
Ma ChangshengDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-5387-5957
Wu ShulinDepartment of Cardiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.ORCID 0000-0001-9110-9359

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The left atrial appendage closure (LAAC), the efficacy and safety of which has been proved by a number of randomized controlled trials and registries, is recommended by several guidelines to prevent stroke in high-risk patients with non-valvular atrial fibrillation. However, current guidelines only discuss the indications and contraindications of LAAC, as an emerging technology, there still lacks comprehensive recommendations involved with LAAC, including devices, image assessment modality, identification and treatment of complications, perioperative medication, and postoperative management. Therefore, the Chinese Society of Cardiology (CSC) of Chinese Medical Association (CMA) and the Editorial Board of Chinese Journal of Cardiology jointly issued the expert consensus statement on LAAC in the prevention of stroke in patients with atrial fibrillation after comprehensive discussion by experts with different backgrounds. This consensus provided three levels of recommendations to guide and standardize the clinical application of LAAC based on existing evidence and clinical practice experience, including appropriate (more potential benefits or fewer harms), uncertain (somehow reasonable but need more evidence), and inappropriate (unlikely to benefit, or have more complications).

Indexed as

Atrial AppendageAtrial FibrillationCardiac Surgical ProceduresStrokeChinaHumansTreatment Outcomeatrial fibrillationChinaexpert consensusleft atrial appendage closurestroke

Identifiers

PMID35032332
PMCPMC9314806

What OpenQuestion holds

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Registered trials

None linked

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.