Evidence map›Paper›PMID 37500716›Full record

ReviewHypertension research : official journal of the Japanese Society of Hypertension2023

Current problems in renal denervation and a hope to break the stage.

Xinyu Hu, Hao Zhou, Weijie Chen, Dan Li, Huaan Du, Tianli Xia, Yuehui Yin

Abstract readReview
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In one paragraph

Review in Hypertension research : official journal of the Japanese Society of Hypertension, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Overcoming variable response in renal denervation: Key strategies for reliable clinical implementation.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. 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

7 authors.

Xinyu HuDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, No. 288 Tianwen Avenue, Nan'an District, Chongqing, China.
Hao ZhouDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, No. 288 Tianwen Avenue, Nan'an District, Chongqing, China.
Weijie ChenDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, No. 288 Tianwen Avenue, Nan'an District, Chongqing, China.
Dan LiDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, No. 288 Tianwen Avenue, Nan'an District, Chongqing, China.
Huaan DuDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, No. 288 Tianwen Avenue, Nan'an District, Chongqing, China.
Tianli XiaDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, No. 288 Tianwen Avenue, Nan'an District, Chongqing, China.
Yuehui YinDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, No. 288 Tianwen Avenue, Nan'an District, Chongqing, China. yinyh@hospital.cqmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal denervation (RDN) is currently confronted with the considerable heterogeneity of different post-procedural blood pressure responses. The challenges predominantly arise from not only the lack of selection of appropriate responders but also the absence of detection for the successful endpoints of intervention. In this paper, we summarize the significant characteristics of potentially appropriate hypertensive patients and propose a hopeful way to improve the accuracy of RDN, that is, the application of three-dimensional reconstruction technology combined with electrical renal nerve stimulation to guide the radiofrequency catheter ablation, which may promote the development of selective and accurate RDN in real-world clinical practice. This paper focuses on two current critical concerns of renal denervation (RDN): appropriate patient selection and the improvement in the accuracy of selective RDN. A hopeful way of accurate RDN may be the combination of 3D electroanatomic mapping systems for the renal artery with modified renal nerve stimulation (RNS) techniques and technology for appropriate hypertensive candidates.

Indexed as

HypertensionSympathectomyBlood PressureDenervationHumansKidneyTreatment OutcomeBlood pressure responseHypertensionRenal denervationRenal nerve stimulationSelective ablation

Identifiers

What OpenQuestion holds

Textmetadata
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.