Evidence map›Paper›PMID 37491531›Full record

ArticleHerz2024

The effect of high-power short-duration pulmonary vein isolation on PWPT-a predictor of paroxysmal atrial fibrillation.

Meng Wang, Xiaochen Wang, Feng Gao, Pei Bao, Zheng Huang

Abstract read
PubMed Publisher
In one paragraph

Article in Herz, 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, top 80% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

5 authors at 2 institutions in 1 country.

Meng WangDepartment of Cardiology, The Second Affiliated Hospital of Anhui Medical University, 230601, Hefei, China. chidream@sina.com.
Xiaochen WangDepartment of Cardiology, The Second Affiliated Hospital of Anhui Medical University, 230601, Hefei, China.
Feng GaoDepartment of Cardiology, The Second Affiliated Hospital of Anhui Medical University, 230601, Hefei, China.
Pei BaoDepartment of Cardiology, The Second Affiliated Hospital of Anhui Medical University, 230601, Hefei, China.
Zheng HuangDepartment of Cardiology, The Second Affiliated Hospital of Anhui Medical University, 230601, Hefei, China.
Anhui Medical University · CNSecond Hospital of Anhui Medical University · CN

Funding

Scientific Research Foundation of Education Department of Anhui Province of China 2022AH050658
6 · The paper itself

Abstract

backgroundThe P wave peak time (PWPT) is a predictor of paroxysmal atrial fibrillation (PAF). High-power short-duration ablation has been associated with improved durability of circumferential pulmonary vein electrical isolation (PVI). We investigated the effect of high-power short-duration PVI on PWPT in patients with PAF.

methodsOut of 111 patients with PAF, 91 received radiofrequency ablation (ablation group) and 20 received medication treatment (control group). A VIZIGO sheath and an STSF catheter (Biosense Webster, CA, USA) were used together for high-power short-duration circumferential PVI at ablation index values of 500 and 400 for the anterior and posterior walls, respectively. The patients were followed up for 12 months.

resultsThe preoperative PWPT in the ablation group was similar to that in the control group: PWPT II = 54.38 ± 6.18 ms vs. 54.35 ± 6.12 ms (p > 0.05), PWPT V

conclusionThe results showed that high-power short-duration PVI had a positive effect on PWPT, which is a predictor of PAF.

Indexed as

Atrial FibrillationCatheter AblationPulmonary VeinsHumansRecurrenceTime FactorsTreatment OutcomeHigh-power short-duration ablationParoxysmal atrial fibrillationPredictorPulmonary vein isolationPWPT

Identifiers

PMID37491531
OpenAlexW4385232306

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.