Evidence map›Paper›PMID 41189736›Full record

ArticleFrontiers in physiology2025

Rui Wu, Saijian Shi, Yuanjie Huang, Feng Tian, Jiqin Hou, Xiangqing Kong, Longxiang Sheng, Tao Zhang, Lijun Tang, Wei Sun

Abstract read
In one paragraph

Article in Frontiers in physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Rui WuDepartment of Cardiology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Saijian ShiDepartment of Nuclear Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Yuanjie HuangDepartment of Cardiology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Feng TianDepartment of Nuclear Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Jiqin HouDepartment of Radiopharmaceuticals, School of Pharmacy, National Center of Technology Innovation for Biopharmaceuticals, Innovation Center of Suzhou Nanjing Medical University, Nuclear Medicine Clinical Translation Center, Northern Jiangsu Institute of Clinical Medicine, Nanjing Medical University, Nanjing, China.
Xiangqing KongDepartment of Cardiology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Longxiang ShengDepartment of Cardiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, China.
Tao ZhangDepartment of Radiopharmaceuticals, School of Pharmacy, National Center of Technology Innovation for Biopharmaceuticals, Innovation Center of Suzhou Nanjing Medical University, Nuclear Medicine Clinical Translation Center, Northern Jiangsu Institute of Clinical Medicine, Nanjing Medical University, Nanjing, China.
Lijun TangDepartment of Nuclear Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Wei SunDepartment of Cardiology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal denervation (RDN) has emerged as a promising therapeutic approach for hypertension, particularly in patients with refractory hypertension. However, non-invasive measurement of the degree of renal nerve ablation has still been a challenge. This study aims to develop a novel method for assessing the efficacy of RDN. Based on

Indexed as

hypertensionL-Dopapositron emission tomography-computed tomographyrenal denervationsympathetic nerve

Identifiers

PMID41189736
PMCPMC12580137

What OpenQuestion holds

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LicenceCC BY
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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.