Evidence map›Paper›PMID 40830556›Full record

ArticleScientific reports2025

Radial artery calcification is a predictor of aortic stenosis development and progression after initiation of hemodialysis.

Takuya Maeda, Junichiro Nakata, Shuko Nojiri, Toshiki Kano, Haruna Fukuzaki, Kai Suzuki, Hiroaki Io, Yusuke Suzuki

Abstract read
In one paragraph

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

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

8 authors.

Takuya MaedaDepartment of Nephrology, Faculty of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Junichiro NakataDepartment of Nephrology, Faculty of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan. jnakata@juntendo.ac.jp.
Shuko NojiriMedical Technology Innovation Center, Juntendo University, Tokyo, Japan.
Toshiki KanoDepartment of Nephrology, Faculty of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Haruna FukuzakiDepartment of Nephrology, Faculty of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Kai SuzukiDepartment of Nephrology, Faculty of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
Hiroaki IoDepartment of Nephrology, Juntendo University Nerima Hospital, Tokyo, Japan.
Yusuke SuzukiDepartment of Nephrology, Faculty of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan. yusuke@juntendo.ac.jp.

Funding

Japan Society for the Promotion of Science JP21K11199
6 · The paper itself

Abstract

Aortic stenosis (AS) is an important prognostic cardiovascular disease. However, there are few reports investigating the factors contributing to AS progression in patients with hemodialysis (HD). Because human arterial tissue can be easily harvested during arteriovenous fistula (AVF) surgery, we focused on the association between arterial calcification and AS progression. This is the first study with the aimed to establish a link between radial artery calcification (RAC) level and AS progression in patients with end-stage kidney disease (ESKD). All segments of the radial artery were collected during AVF surgery and stained with the Von Kossa stain. Changes in peak flow velocity (ΔVmax) were calculated based on two echocardiographic findings, and the relationship between RAC level and ΔVmax was analyzed. In the univariate analysis, RAC level, baseline peak aortic jet velocity (Vmax), and age were found to contribute to ΔVmax. After adjusting for age, sex, presence of diabetes, and Vmax at HD initiation, RAC level emerged as an independent factor contributing to ΔVmax. In conclusion, a high RAC level may be a predictor of subsequent development and progression of AS after HD initiation. Our findings may help identify this high-risk group and provide targeted healthcare interventions.

Indexed as

Aortic Valve StenosisKidney Failure, ChronicRadial ArteryRenal DialysisVascular CalcificationAgedBlood Flow VelocityDisease ProgressionFemaleHumansMaleMiddle AgedRisk FactorsAortic stenosisCardiovascular diseaseHemodialysisRadial artery calcification

Identifiers

PMID40830556
PMCPMC12365065

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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.