Evidence map›Paper›PMID 30005030›Full record

ArticleJournal of hypertension2018

Procedural and anatomical predictors of renal denervation efficacy using two radiofrequency renal denervation catheters in a porcine model.

Milan Wolf, Brad Hubbard, Atsushi Sakaoka, Serge Rousselle, Armando Tellez, Xiongjing Jiang, Kazuomi Kario, Mathias Hohl, Michael Böhm, Felix Mahfoud

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Journal of hypertension, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. A preclinical study of combined hepatic and renal artery denervation.EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology · 2025
    Article
  2. Multi-Organ Denervation: The Past, Present and Future.Journal of clinical medicine · 2025
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Renal Denervation: Is It Ready for Prime Time?Current cardiology reports · 2019
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 4 countries.

Milan WolfKlinik für Innere Medizin III, Kardiologie, Angiologie, Internistische Intensivmedizin, Universitätsklinikum des Saarlandes, Saarland University, Homburg/Saar, Germany.
Brad HubbardSynchronyLabs, Raleigh-Durham, North Carolina, USA.
Atsushi SakaokaEvaluation Center, R&D Administration and Promotion Department, Terumo Corporation, Kanagawa, Japan.
Serge RousselleAlizée Pathology, Thurmont, Maryland, USA.
Armando TellezAlizée Pathology, Thurmont, Maryland, USA.
Xiongjing JiangFuwai Hospital and Cardiovascular Institute, Beijing, China.
Kazuomi KarioDepartment of Cardiovascular Medicine, Jichi Medical University School of Medicine, Tochigi, Japan.
Mathias HohlKlinik für Innere Medizin III, Kardiologie, Angiologie, Internistische Intensivmedizin, Universitätsklinikum des Saarlandes, Saarland University, Homburg/Saar, Germany.
Michael BöhmKlinik für Innere Medizin III, Kardiologie, Angiologie, Internistische Intensivmedizin, Universitätsklinikum des Saarlandes, Saarland University, Homburg/Saar, Germany.
Felix MahfoudKlinik für Innere Medizin III, Kardiologie, Angiologie, Internistische Intensivmedizin, Universitätsklinikum des Saarlandes, Saarland University, Homburg/Saar, Germany.
Universitätsklinikum des Saarlandes · DEFu Wai Hospital · CNJichi Medical University · JPMassachusetts Institute of Technology · USTerumo (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSeveral renal denervation (RDN) systems are currently under investigation for treatment of hypertension by ablation of renal sympathetic nerves. The procedural efficacy of devices, however, is variable and incompletely understood. This study aimed at investigating procedural and anatomical predictors of RDN efficacy by comparing two radiofrequency catheter systems in a porcine model.

methodsDomestic swine were assigned into two treatment groups (n = 10) and one sham group (n = 3). Bilateral RDN in main and in branch segments of renal arteries was performed using two different multielectrode catheter systems [Symplicity Spyral (SPY) and IberisBloom (IBB)]. After 7 days, measurement of norepinephrine (NEPI) tissue concentrations and histological analyses have been performed.

resultsRenal NEPI tissue concentration following RDN was significantly reduced when compared with Sham (SPY: -95 ± 3% vs. Sham, P < 0.001; IBB: -88 ± 11% vs. Sham, P < 0.001). Histological evaluation showed comparable lesion depth and lesion area (lesion depth: SPY-main 6.26 ± 1.62 mm vs. SPY-branch 3.49 ± 1.11 mm; IBB-main 5.93 ± 1.88 mm vs. IBB-branch: 3.26 ± 1.26 mm, P < 0.001; lesion area: SPY-main 43.5 ± 29.5 mm vs. SYP-branch 45.0 ± 38.0 mm; IBB-main 52.3 ± 34.8 mm vs. IBB-branch 44.0 ± 42.6 mm, P = 0.77; intergroup SPY vs. IBB, P = 0.73). Histological investigations documented a significant correlation between number of ablations per millimeter length of renal artery and reduction in NEPI tissue concentration.

conclusionThe two devices under investigation demonstrated similar histopathological lesion characteristics and similar reduction of renal NEPI levels. An increase in number of ablations per millmeter length of renal artery resulted in improved efficacy and reduced variability in treatment effects.

Indexed as

AnimalsCatheter AblationFemaleHypertensionKidneyNorepinephrinePostoperative PeriodRenal ArterySwineSympathectomyNorepinephrine

Identifiers

PMID30005030
PMCPMC6221386
OpenAlexW2883431077

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.