Evidence map›Paper›PMID 39988599›Full record

Observational studyScientific reports2025

Vascular access dysfunction incidence among Japanese dialysis patients from NDB Open Data Japan.

Kenta T Suzuki, Kiyoshi Naemura, Yuichi Sakumura

Abstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

3 authors.

Kenta T SuzukiGraduate School of Science and Technology, Nara Institute of Science and Technology, Nara, Japan. suzuki.kenta.sj5@naist.ac.jp.
Kiyoshi NaemuraDepartment of Clinical Engineering, School of Health Sciences, Tokyo University of Technology, Tokyo, Japan.
Yuichi SakumuraGraduate School of Science and Technology, Nara Institute of Science and Technology, Nara, Japan.

Funding

Japan Science and Technology Agency JPMJSP2140
6 · The paper itself

Abstract

Vascular access (VA) dysfunction affects the quality of care in end-stage renal disease (ESRD) patients undergoing hemodialysis. However, comprehensive nationwide data in Japan are limited. Therefore, we estimated VA dysfunction and recurrence and examined their associations with sex, age, and regional variation using the National Database Open Data Japan (NDB Open). We conducted a population-based observational study using the NDB Open for fiscal years 2020-2022. We identified ESRD patients who underwent VA-related procedures based on claims codes. We also calculated annual VA dysfunction rates and 3-month recurrence rates. We used multiple regression models, adjusted for sex, age, and the fiscal year, to examine associations; the regional differences were also evaluated. The average annual VA dysfunction rate was 74.0% (standard error [SE], 1.7%), with a 3-month recurrence rate of 16.9% (SE, 0.5%). Females and older patients showed higher rates. Age correlated positively with the VA dysfunction rate (ρ = 0.827-0.941). VA dysfunction rates varied across prefectures. In Japanese ESRD patients, VA dysfunction showed sex- and age-related differences, along with regional variations. These findings may inform future prevention strategies and research utilizing detailed clinical data.

Indexed as

Kidney Failure, ChronicRenal DialysisVascular Access DevicesAdultAgedAged, 80 and overAge FactorsDatabases, FactualEast Asian PeopleFemaleHumansIncidenceJapanMaleMiddle AgedEnd-stage renal diseaseHemodialysisNDB open data JapanPopulation-based studyRegional variationVascular access dysfunction

Identifiers

PMID39988599
PMCPMC11847928

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.