Evidence mapPaperPMID 38649847Full record

ArticleBMC nephrology2024

Trajectories of atherosclerotic cardiovascular disease risk scores as a predictor for incident chronic kidney disease.

Hye Sun Lee, Hong Il Lim, Tae Ju Moon, So Young Lee, Jun-Hyuk Lee

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2024. 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
0.3field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

5 authors at 2 institutions in 1 country.

Hye Sun LeeDepartment of Research Affairs, Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, 03277, Republic of Korea.
Hong Il LimDepartment of Internal Medicine, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, 01830, Republic of Korea.
Tae Ju MoonDepartment of Internal Medicine, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, 01830, Republic of Korea.
So Young LeeDepartment of Internal Medicine, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, 01830, Republic of Korea.
Jun-Hyuk LeeDepartment of Family Medicine, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, 01830, Republic of Korea. swpapa@eulji.ac.kr.ORCID 0000-0002-1007-1633
Eulji University · KRYonsei University · KR

Funding

Eulji University 2023EMBRISN0002
6 · The paper itself

Abstract

backgroundThe relationship between atherosclerosis and renal function is well established. Atherosclerotic cardiovascular disease (ASCVD) risk scores reflect atherosclerotic burden, which changes over time. We investigated the association between ASCVD risk trajectories and incident chronic kidney disease (CKD) using data from a large community-based Korean cohort with up to 16 years of follow-up.

methodsWe analyzed data from 5032 participants without CKD from the baseline survey of the Korean Genome and Epidemiology Study Ansan-Ansung cohort. Participants were categorized into stable or increasing ASCVD risk groups based on the revised ASCVD risk pooled cohort equation over a median period of exposure of 5.8 years. Incident CKD was defined as two consecutive events of an estimated glomerular filtration rate < 60 mL/min/1.73 m

resultsDuring a median 9.9 years of event accrual period, 449 (8.92%) new-onset CKD cases were identified. Multiple Cox proportional regression analyses showed that the hazard ratio (95% confidence interval) for incident CKD in the increasing group, compared to the stable group, was 2.13 (1.74-2.62) in the unadjusted model and 1.35 (1.02-1.78) in the fully-adjusted model. Significant relationships were maintained in subgroups of individuals in their 50s, without diabetes mellitus or hypertension. The prevalence of proteinuria was consistently higher in the increasing group than that in the stable group.

conclusionsAn increasing trend in ASCVD risk scores independently predicted adverse renal outcomes in patients without diabetes mellitus or hypertension. Continuous monitoring of ASCVD risk is not only important for predicting cardiovascular disease but also for predicting CKD.

Indexed as

AtherosclerosisRenal Insufficiency, ChronicAdultAgedCardiovascular DiseasesCohort StudiesFemaleGlomerular Filtration RateHumansIncidenceMaleMiddle AgedProportional Hazards ModelsRepublic of KoreaRisk AssessmentRisk FactorsAtherosclerotic cardiovascular diseaseChronic kidney diseaseIncidenceProspective cohortTrajectory

Identifiers

PMID38649847
PMCPMC11036697
OpenAlexW4394998115

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.