Evidence map›Paper›PMID 35402543›Full record

ArticleFrontiers in cardiovascular medicine2022

Preclinical Study of Biphasic Asymmetric Pulsed Field Ablation.

Shengyu Bi, Fenglin Jia, Chang Lv, Qiang He, Xinyu Xu, Zhixiao Xue, Siying Su

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 25% of its field
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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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 at 1 institution in 1 country.

Shengyu BiSchool of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China.
Fenglin JiaSchool of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China.
Chang LvSchool of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China.
Qiang HeDepartment of Cardiology, Tianjin First Central Hospital, Tianjin, China.
Xinyu XuSchool of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China.
Zhixiao XueSchool of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China.
Siying SuTianjin Intelligent Health Medical Co., Ltd., Tianjin, China.
Tianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulsed field ablation (PFA) is a novel method of pulmonary venous isolation in atrial fibrillation ablation and is featured by tissue-selective ablation. Isolation is achieved via the application of high-voltage microsecond pulses that create irreversible perforations in cell membranes (i.e., electroporation). We proposed a new biphasic asymmetric pulse mode and verified the lesion persistence and safety of this mode for pulmonary vein ostia ablation in preclinical studies. We found that biphasic asymmetric pulses can effectively reduce muscle contractions and drop ablation threshold. In the electroanatomic mapping, the ablation site showed a continuous low potential area, and the atrium was not captured after 30 days of pacing. Pathological staining showed that cardiomyocytes in the ablation area were replaced by fibroblasts and there was no damage outside the ablation zone. Our results show that pulmonary venous isolation using the biphasic asymmetric discharge mode is safe, durable, effective, and causes no damage to other tissues.

Indexed as

atrial fibrillationbiphasic asymmetric pulsepulmonary venous isolationpulsed field ablationtissue-selective ablation

Identifiers

PMID35402543
PMCPMC8987372
OpenAlexW4220724454

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.