Evidence map›Paper›PMID 39386878›Full record

ArticleHeliyon2024

Stellate ganglion block therapy in management of ventricular electrical storm: A case report.

Chaoqun Huang, Shangzhi Shu, Miaomiao Zhou, Zhenming Sun, Shuyan Li

Abstract readCase Reports
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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Chaoqun HuangDepartment of Cardiovascular Medicine, The First Bethune Hospital of Jilin University, Changchun, China.
Shangzhi ShuDepartment of Cardiovascular Medicine, The First Bethune Hospital of Jilin University, Changchun, China.
Miaomiao ZhouDepartment of Cardiovascular Medicine, The First Bethune Hospital of Jilin University, Changchun, China.
Zhenming SunDepartment of Cardiovascular Medicine, The First Bethune Hospital of Jilin University, Changchun, China.
Shuyan LiDepartment of Cardiovascular Medicine, The First Bethune Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sympathetic overactivity is a recognized underlying mechanism contributing to the pathogenesis of ventricular electrical storm (VES). The growing body of evidence supports the efficacy of stellate ganglion block (SGB) in attenuating myocardial sympathetic tone, rendering it a valuable adjunctive therapy for managing VES. This case report presents the clinical details of a 60-year-old patient admitted for ventricular tachycardia (VT), necessitating the implantation of an implantable cardioverter defibrillator (ICD) to mitigate the risk of fatal ventricular arrhythmias (VAs). Subsequently, the patient received repeated antitachycardia pacing (ATP) therapy due to persistent symptomatic VT episodes. SGB was contemplated due to the patient's hemodynamic instability during episodes of VT and the ineffectiveness of pharmacotherapy. Initially, complete suppression of VT was achieved for 3 days using local anesthesia, followed by partial suppression via pulsed radiofrequency (PRF), culminating in sustained relief for 3 months following continuous radiofrequency (CRF) therapy. Different methods of SGB elicited varied responses in this patient. CRF appeared to be more effective than PRF and conventional local anesthetics. CRF ablation of the stellate ganglion for refractory VAs offers a potential therapeutic option.

Indexed as

Case reportContinuous radiofrequencyPulsed radiofrequencyStellate ganglion blockVentricular electrical storm

Identifiers

PMID39386878
PMCPMC11462198

What OpenQuestion holds

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Registered trials

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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.