Evidence map›Paper›PMID 35992203›Full record

ReviewInternational journal of hypertension2022

Present Evidence of Determinants to Predict the Efficacy of Renal Denervation.

Hao Zhou, Yanping Xu, Weijie Chen, Liang Wang, Huaan Du, Hang Liu, Zhiyu Ling, Yuehui Yin

Open access · goldAbstract readReview
In one paragraph

Review in International journal of hypertension, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

8 authors at 1 institution in 1 country.

Hao ZhouDepartment of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0002-9563-7201
Yanping XuDepartment of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Weijie ChenDepartment of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Liang WangDepartment of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Huaan DuDepartment of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0002-0886-4511
Hang LiuDepartment of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhiyu LingDepartment of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yuehui YinDepartment of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0001-9769-435X
Dalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sympathetic overactivation is one of the main contributors to development and progress of hypertension. Renal denervation (RDN) has been evidenced by series of clinical trials for its efficacy and safety to treat overactivated sympathetic nervous system induced diseases. However, the results were inconsistent and not all patients benefited from RDN. Appropriate patient selection and intraoperative factors to improve the efficacy of RDN need to be solved urgently. Over the decade, research studies on the correlations between indicators and the antihypertensive effects have been conducted and made a fairly well progress. Herein, we comprehensively reviewed the research studies on how to make RDN more predictable or improve the efficacy of RDN and summarized these potential indicators or devices which might be applied in clinical settings.

Identifiers

PMID35992203
PMCPMC9391193
OpenAlexW4291301619

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.