Evidence map›Paper›PMID 32879150›Full record

ArticleJournal of atherosclerosis and thrombosis2021

Relationship between Endothelial Dysfunction and Prevalence of Chronic Kidney Disease: The Circulatory Risk in Communities Study (CIRCS).

Yuting Li, Renzhe Cui, Keyang Liu, Ehab S Eshak, Meishan Cui, Jiayi Dong, Hironori Imano, Isao Muraki, Masahiko Kiyama, Akihiko Kitamura and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

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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

16 authors at 7 institutions in 5 countries.

Yuting LiPublic Health, Department of Social Medicine, Osaka University Graduate School of Medicine.
Renzhe CuiPublic Health, Department of Social Medicine, Osaka University Graduate School of Medicine.
Keyang LiuPublic Health, Department of Social Medicine, Osaka University Graduate School of Medicine.
Ehab S EshakPublic Health, Department of Social Medicine, Osaka University Graduate School of Medicine.
Meishan CuiPublic Health, Department of Social Medicine, Osaka University Graduate School of Medicine.
Jiayi DongPublic Health, Department of Social Medicine, Osaka University Graduate School of Medicine.
Hironori ImanoPublic Health, Department of Social Medicine, Osaka University Graduate School of Medicine.
Isao MurakiPublic Health, Department of Social Medicine, Osaka University Graduate School of Medicine.
Masahiko KiyamaOsaka Center for Cancer and Cardiovascular Disease Prevention.
Akihiko KitamuraOsaka Center for Cancer and Cardiovascular Disease Prevention.
Takeo OkadaOsaka Center for Cancer and Cardiovascular Disease Prevention.
Kazumasa YamagishiDepartment of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba.
Mitsumasa UmesawaDepartment of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba.
Tetsuya OhiraRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University.
Hiroyasu IsoPublic Health, Department of Social Medicine, Osaka University Graduate School of Medicine.
CIRCS investigators
Osaka University · JPOsaka Medical Center for Cancer and Cardiovascular Diseases · JPDokkyo Medical University · JPFukushima Medical University · JPHealth Services Research & Development · USTokyo Metropolitan Institute of Gerontology · JPUniversity of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsPatients with chronic kidney disease (CKD) have a higher burden of cardiovascular morbidity and mortality than the general population. Endothelial dysfunction has been suggested to play a role in both glomerular filtration rate loss and cardiovascular damage. Thus, the present study aimed to evaluate the relationship between endothelial dysfunction and the prevalence of CKD in the general Japanese population.

methodsWe conducted a cross-sectional study of 1042 men and women aged 30-81 years in two communities under the Circulatory Risk in Communities Study between 2013 and 2017. Endothelial function was evaluated by percent change of brachial artery flow-mediated dilation (%FMD) before and after the cuff inflation.

resultsAmong the total 1042 participants, there were 62 cases of CKD (~6%). The multivariable odds ratios (ORs) (95% confidence intervals [CIs]) of CKD according to quartiles of %FMD were 2.02 (0.68-5.99), 3.56 (1.27-9.94), and 3.14 (1.10-8.93) for the third to lowest quartile compared with the highest %FMD quartile; p for trend=0.02. The respective multivariable ORs (95% CIs) of CKD in subjects without antihypertensive medication use (39 cases among 886 subjects) were 1.83 (0.46-7.33), 3.41 (0.92-12.61), and 4.60 (1.22-17.31); p for trend=0.01, and that for one-point decrement in %FMD was 1.16 (1.00-1.35); p for interaction with the status of antihypertensive medication use was 0.12.

conclusionsOur cross-sectional study suggested the relationship between endothelial dysfunction and the higher prevalence of CKD in the general Japanese population.

Indexed as

Renal Insufficiency, ChronicBrachial ArteryCardiovascular SystemCorrelation of DataCross-Sectional StudiesEndothelium, VascularFemaleGlomerular Filtration RateHumansJapanKidneyMaleMiddle AgedRisk FactorsVasodilationChronic kidney diseaseEndothelial dysfunctionGeneral Japanese population

Identifiers

PMID32879150
PMCPMC8219532
OpenAlexW3082128531

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.