Evidence map›Paper›PMID 38314198›Full record

Trial reportInternational journal of general medicine2024

Alterations of White Matter Connectivity in Adults with Essential Hypertension.

Weijie Chen, Simin Deng, Huali Jiang, Heng Li, Yu Zhao, Yiqiang Yuan

Open access · goldAbstract readCase ReportsClinical Trial
In one paragraph

Trial report in International journal of general medicine, 2024. 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
1.0field-weighted citation impact, top 28% 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, 3 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

6 authors at 3 institutions in 1 country.

Weijie Chen *Department of Cardiology, The Second School of Clinical Medicine, Southern Medical University, Guangdong, People's Republic of China.
Simin Deng *Research Center, Dongguan Eighth People's Hospital, Guangdong, People's Republic of China.
Huali Jiang *Department of Cardiology, Dongguan Tung Wah Hospital, Guangdong, People's Republic of China.
Heng LiDepartment of Cardiology, Dongguan Tung Wah Hospital, Guangdong, People's Republic of China.
Yu ZhaoDepartment of Cardiology, Dongguan Tung Wah Hospital, Guangdong, People's Republic of China.ORCID 0009-0001-9607-8739
Yiqiang YuanDepartment of Cardiology, The Second School of Clinical Medicine, Southern Medical University, The Seventh People's Hospital of Zhengzhou, Henan, People's Republic of China.
Tung Wah Hospital · CNDongguan People’s Hospital · CNZhengzhou People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To explore the topology of the white matter network in individuals with essential hypertension by graph theory. Patients and Methods: T1-weighted image and diffusion tensor imaging (DTI) data from 43 patients diagnosed with essential hypertension (EHT) and 33 individuals with normotension (healthy controls, HCs) were incorporated in this cross-sectional study. Furthermore, structural networks were constructed by graph theory to calculate whole brain network characteristics and intracerebral node characteristics. Results: Both EHT and HC groups displayed small-worldness in their structural networks. The area under the curve (AUC) of the small-worldness coefficient (σ) was higher in the EHT group compared to the HC group, whereas the AUC of assortativity was lower in the EHT group in contrast to the HC group. The nodal clustering coefficient (CP) and local efficiency (Eloc) of the EHT group decreased in the right dorsolateral superior frontal gyrus and the left medial superior frontal gyrus. These values increased in the left anterior cingulate and paracingulate gyrus. Furthermore, weight and body mass index (BMI) were positively correlated with σ. Conclusion: The EHT group showed brain network separation and integration dysfunction. Weight and BMI were positively correlated with σ. The data acquired in this investigation implied that altered structural connectivity in the prefrontal region may be a potential neuroimaging marker in EHT patients.

Indexed as

DTIEHTgraph theoryintracerebral node characteristicswhole brain network characteristics

Identifiers

PMID38314198
PMCPMC10838498
OpenAlexW4391390219

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.