Evidence map›Paper›PMID 28154583›Full record

ReviewKorean circulation journal2017

Renal Denervation for Chronic Heart Failure: Background and Pathophysiological Rationale.

Michael Böhm, Sebastian Ewen, Felix Mahfoud

Open access · hybridAbstract readReview
In one paragraph

Review in Korean circulation journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Observational
  4. Renal Denervation, Come Back Time?Korean circulation journal · 2021
    Article
  5. Article
  6. Article
  7. Renal Denervation: Is It Ready for Prime Time?Current cardiology reports · 2019
    Review
  8. Update on heart failure management and future directions.The Korean journal of internal medicine · 2019
    Review
  9. 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

3 authors at 1 institution in 1 country.

Michael BöhmDepartments of Internal Medicine III, Cardiology, Angiology, and Intensive Care, Saarland University Hospital, Homburg/Saar, Germany.
Sebastian EwenDepartments of Internal Medicine III, Cardiology, Angiology, and Intensive Care, Saarland University Hospital, Homburg/Saar, Germany.
Felix MahfoudDepartments of Internal Medicine III, Cardiology, Angiology, and Intensive Care, Saarland University Hospital, Homburg/Saar, Germany.
Saarland University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The activation of the sympathetic nervous system is associated with cardiovascular hospitalizations and death in heart failure. Renal denervation has been shown to effectively reduce sympathetic overdrive in certain patients with uncontrolled hypertension. Pilot trials investigating renal denervation as a potential treatment approach for heart failure were initiated. Heart failure comorbidities like obstructive sleep apnea, metabolic syndrome and arrhythmias could also be targets for renal denervation, because these occurrences are also mediated by the activation of the sympathetic nervous system. Therefore, renal denervation in heart failure is worthy of further investigation, although its effectiveness still has to be proven. Herein, we describe the pathophysiological rationale and the effect of renal denervation on surrogates of the heart failure syndrome.

Indexed as

Congestive heart failureDenervationNeuroendocrine activationSympathetic nervous system

Identifiers

PMID28154583
PMCPMC5287193
OpenAlexW2546494123

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.