Evidence map›Paper›PMID 41425303›Full record

ArticleVascular health and risk management2025

Prevalence of Significant Coronary Artery Stenosis and Relationship with Carotid Maximum Intima-Media Thickness in Asymptomatic Patients with Moderate-to-Severe Chronic Kidney Disease: A Single-Center, Prospective, Cross-Sectional Study.

Keiji Hirai, Hirofumi Shibata, Kazuya Shizukuishi, Masashi Hatori, Yousuke Taniguchi, Yusuke Ugata, Hiroyuki Jinnouchi, Kiyonori Ito, Tamami Watanabe, Akira Onoguchi and 8 more

Abstract read
In one paragraph

Article in Vascular health and risk management, 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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0cells of the map it votes in
0citing papers in PubMed
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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

18 authors.

Keiji HiraiDivision of Nephrology, Saitama Medical Center, Jichi Medical University, Saitama, Japan.ORCID 0000-0002-6899-2478
Hirofumi ShibataDepartment of Radiology, Saitama Central Clinic, Saitama, Japan.
Kazuya ShizukuishiDepartment of Radiology, Saitama Central Clinic, Saitama, Japan.
Masashi HatoriDivision of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Saitama, Japan.
Yousuke TaniguchiDivision of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Saitama, Japan.
Yusuke UgataDivision of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Saitama, Japan.
Hiroyuki JinnouchiDivision of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Saitama, Japan.
Kiyonori ItoDivision of Nephrology, Saitama Medical Center, Jichi Medical University, Saitama, Japan.
Tamami WatanabeDepartment of Laboratory Medicine, Saitama Medical Center, Jichi Medical University, Saitama, Japan.
Akira OnoguchiDepartment of Laboratory Medicine, Saitama Medical Center, Jichi Medical University, Saitama, Japan.
Tatsuro WatanoDepartment of Laboratory Medicine, Saitama Medical Center, Jichi Medical University, Saitama, Japan.
Osamu ManabeDepartment of Radiology, Saitama Medical Center, Jichi Medical University, Saitama, Japan.
Kenichi SakakuraDivision of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Saitama, Japan.
Susumu OokawaraDivision of Nephrology, Saitama Medical Center, Jichi Medical University, Saitama, Japan.
Kiyoka OmotoDepartment of Laboratory Medicine, Saitama Medical Center, Jichi Medical University, Saitama, Japan.
Noriko Oyama-ManabeDepartment of Radiology, Saitama Medical Center, Jichi Medical University, Saitama, Japan.ORCID 0000-0002-0394-0095
Hideo FujitaDivision of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Saitama, Japan.ORCID 0000-0002-4901-3502
Yoshiyuki MorishitaDivision of Nephrology, Saitama Medical Center, Jichi Medical University, Saitama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Coronary artery disease is a major cause of mortality in patients with chronic kidney disease (CKD); however, the actual burden of asymptomatic coronary artery stenosis in patients with advanced-stage CKD remains unclear. We investigated the prevalence and associated factors of significant coronary artery stenosis (≥ 50%) in asymptomatic patients with moderate-to-severe (stage G3-5) CKD. Furthermore, we evaluated the usefulness of carotid maximum intima-media thickness (IMT) in predicting significant coronary artery stenosis in these patients. Methods: We enrolled 128 patients (men: 68.0%; mean age: 70.3±11.2 years; mean estimated glomerular filtration rate: 37.6±12.9 mL/min/1.73 m Results: Seventy-six patients (60%) had significant coronary artery stenosis. Univariable analyses showed that age, body mass index, high-density lipoprotein cholesterol, glycated hemoglobin, C-reactive protein, and carotid maximum-IMT were associated with the presence of significant coronary artery stenosis. However, multivariable logistic regression analysis revealed that only carotid maximum-IMT (odds ratio: 4.86; Conclusion: The prevalence of significant coronary artery stenosis was high (60%) in patients with moderate-to-severe CKD. Carotid maximum-IMT was the primary factor associated with the presence of significant coronary artery stenosis and might be a surrogate marker for significant coronary artery stenosis in these patients.

Indexed as

Carotid Artery DiseasesCarotid Intima-Media ThicknessCoronary StenosisRenal Insufficiency, ChronicAgedAged, 80 and overAsymptomatic DiseasesCoronary AngiographyCross-Sectional StudiesFemaleHumansKidneyMagnetic Resonance AngiographyMaleMiddle AgedPredictive Value of Testschronic kidney diseasecoronary artery stenosiscoronary magnetic resonance angiographymaximum intima-media thickness

Identifiers

PMID41425303
PMCPMC12716962

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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.