Evidence map›Paper›PMID 28271154›Full record

Observational studyEuropean radiology2017

Renal artery and parenchymal changes after renal denervation: assessment by magnetic resonance angiography.

Margreet F Sanders, Pieter Jan van Doormaal, Martine M A Beeftink, Michiel L Bots, Fadl Elmula M Fadl Elmula, Jesse Habets, Frank Hammer, Pavel Hoffmann, Lotte Jacobs, Patrick B Mark and 13 more

Open access · hybridAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in European radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. SCMR Position Paper (2020) on clinical indications for cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2020
    Guideline
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Italian Society of Arterial Hypertension (SIIA) Position Paper on the Role of Renal Denervation in the Management of the Difficult-to-Treat Hypertensive Patient.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2020
    Review
  7. Renal denervation for treatment of hypertension - will 2017 be the year of enlightenment?EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology · 2017
    Article
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

23 authors at 7 institutions in 4 countries.

Margreet F SandersDepartment of Nephrology and Hypertension, University Medical Center Utrecht, PO Box 85500, 3508 GA, Utrecht, The Netherlands.
Pieter Jan van DoormaalDepartment of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Martine M A BeeftinkDepartment of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Michiel L BotsJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
Fadl Elmula M Fadl ElmulaDepartment of Internal Medicine and Department of Cardiology, Oslo University Hospital, Ullevål, Oslo, Norway.
Jesse HabetsDepartment of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Frank HammerDepartment of Radiology, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium.
Pavel HoffmannSection for Interventional Cardiology, Department of Cardiology, Oslo University Hospital, Ullevål, Oslo, Norway.
Lotte JacobsStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
Patrick B MarkInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, Scotland, UK.
Alexandre PersuPole of Cardiovascular Research, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium.
Jean RenkinPole of Cardiovascular Research, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium.
Giles RoditiDepartment of Radiology, Glasgow Royal Infirmary, Glasgow, UK.
Wilko SpieringDepartment of Vascular Medicine, University Medical Centre Utrecht, Utrecht, The Netherlands.
Jan A StaessenStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
Alison H TaylorInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, Scotland, UK.
Willemien L VerloopDepartment of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Eva E VinkDepartment of Nephrology and Hypertension, University Medical Center Utrecht, PO Box 85500, 3508 GA, Utrecht, The Netherlands.
Evert-Jan VonkenDepartment of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Michiel VoskuilDepartment of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Tim LeinerDepartment of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Peter J BlankestijnDepartment of Nephrology and Hypertension, University Medical Center Utrecht, PO Box 85500, 3508 GA, Utrecht, The Netherlands. p.j.blankestijn@umcutrecht.nl.
European Network COordinating research on Renal Denervation (ENCOReD) Consortium
University Medical Center Utrecht · NLKU Leuven · BEOslo University Hospital · NOUCLouvain · BEUniversity of Glasgow · GBCliniques Universitaires Saint-Luc · BEGlasgow Royal Infirmary · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesRelatively little is known about the incidence of long-term renal damage after renal denervation (RDN), a potential new treatment for hypertension. In this study the incidence of renal artery and parenchymal changes, assessed with contrast-enhanced magnetic resonance angiography (MRA) after RDN, is investigated.

methodsThis study is an initiative of ENCOReD, a collaboration of hypertension expert centres. Patients in whom an MRA was performed before and after RDN were included. Scans were evaluated by two independent, blinded radiologists. Primary outcome was the change in renal artery morphology and parenchyma.

resultsMRAs from 96 patients were analysed. Before RDN, 41 renal anomalies were observed, of which 29 mostly mild renal artery stenoses. After a median time of 366 days post RDN, MRA showed a new stenosis (25-49% lumen reduction) in two patients and progression of pre-existing lumen reduction in a single patient. No other renal changes were observed and renal function remained stable.

conclusionsWe observed new or progressed renal artery stenosis in three out of 96 patients, after a median time of 12 months post RDN (3.1%). Procedural angiographies showed that ablations were applied near the observed stenosis in only one of the three patients. KEY POINTS: • The incidence of vascular changes 12 months post RDN was 3.1%. • No renal vascular or parenchymal changes other than stenoses were observed. • Ablations were applied near the stenosis in only one of three patients.

Indexed as

AdultAgedAged, 80 and overFemaleHumansHypertension, RenovascularKidneyMagnetic Resonance AngiographyMaleMiddle AgedPatient SafetyRenal ArteryRenal Artery ObstructionSympathectomyHypertensionMagnetic resonance angiographyRenal artery stenosisRenal denervationVascular changes

Identifiers

PMID28271154
PMCPMC5544801
OpenAlexW2592177169

What OpenQuestion holds

Textmetadata
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.