Evidence map›Paper›PMID 41644509›Full record

ArticleRenal failure2026

Flow-driven left ventricular remodelling in long-term haemodialysis: a multicenter model of arteriovenous access-induced cardiac load.

Naoko Kyoda, Rika Ago, Shingo Fukuma, Takao Masaki

Abstract readMulticenter Study
In one paragraph

Article in Renal failure, 2026. 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
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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

4 authors.

Naoko KyodaDepartment of Nephrology, Shiritsu Miyoshi Chuo Byoin, Hiroshima, Japan.ORCID 0009-0008-6519-2716
Rika AgoDepartment of Nephrology, Shiritsu Miyoshi Chuo Byoin, Hiroshima, Japan.ORCID 0000-0001-6427-6733
Shingo FukumaDepartment of Epidemiology, Disease Control and Prevention, Hiroshima University Hospital, Hiroshima, Japan.ORCID 0000-0002-8379-8761
Takao MasakiDepartment of Nephrology, Hiroshima University Hospital, Hiroshima, Japan.ORCID 0000-0003-4271-9964

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArteriovenous (AV) access, an essential component of dialysis treatment, has been implicated in the development of cardiovascular abnormalities. However, whether AV access blood flow and the duration of exposure to this flow, as represented by the dialysis vintage, have independent or interactive effects on cardiac outcomes remains unclear.

methodsIn this multicenter cross-sectional study, we enrolled hemodialysis patients who had undergone both transthoracic echocardiography and measurement of AV access flow, between April 2014 and January 2024. Left ventricular mass index (LVMI) was used as a surrogate marker of cardiovascular morbidity. AV access flow was quantified as brachial artery flow volume (FV) using pulsed Doppler ultrasonography. Multivariate regression models were applied to investigate the associations of FV and dialysis vintage with LVMI, and to assess potential interactions between these variables.

resultsA total of 241 patients were included. The mean FV was 0.71 ± 0.29 L/min, and the median dialysis vintage was 5.0 years (interquartile range, 3.0-11.0 years). Higher FV was significantly associated with increased LVMI (mean difference = 22.83; 95% confidence interval [CI]: 0.37 to 45.29;

conclusionAV access flow may serve as a candidate variable in future left ventricular hypertrophy prediction algorithms and cardio-renal machine learning models because of its linear and independently significant association with LVMI.

Indexed as

Arteriovenous Shunt, SurgicalHypertrophy, Left VentricularKidney Failure, ChronicRenal DialysisVentricular RemodelingAgedBrachial ArteryCross-Sectional StudiesEchocardiographyFemaleHumansMaleMiddle AgedArteriovenous fistulacardio-renal syndromedialysis vascular accesshaemodynamic loadleft ventricular hypertrophy

Identifiers

PMID41644509
PMCPMC12884986

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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.