Evidence map›Paper›PMID 40034317›Full record

ArticleHeliyon2025

Analysis of the relationship between components of metabolic syndrome and estimated glomerular filtration rate (eGFR).

Yoonjin Park

Abstract read
In one paragraph

Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

1 author.

Yoonjin ParkDepartment of Nursing, Joongbu University, 201 Daehak-ro, Chubu-myeon, Geumsan-gun, Chungcheongnam-do, 32713, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early recognition and management of risk factors that reduce kidney function are essential. This study aims to analyze the relationship between the components of metabolic syndrome and estimated glomerular filtration rate (eGFR), and to provide basic data that can help develop educational materials for the prevention of kidney diseases. Data from the second round of the KNHNES(korea national health and nutrition examination survey, 8th) which was conducted by the Korea Disease Control and Prevention Agency (2020), were downloaded and analyzed for the current research. Binary logistic analysis was used to identify factors that were risk predictors for metabolic syndrome. Identified factors were categories of metabolic syndrome, including waist circumference, blood pressure, triglycerides, blood glucose, HDL-cholesterol, triglycerides, and eGFR. eGFR was 0.03 % lower in males with metabolic syndrome (OR:0.973) and 0.03 % lower in females (OR:0.974). The eGFR was significantly lower for those with metabolic syndrome. According to this study, there was a significant correlation between reduced GFR and metabolic syndrome. Therefore, the meaningful baseline data for decreasing the prevalence of kidney disease and preventing metabolic syndrome provided by this study's results are significant.

Indexed as

Glomerular filtration rateMetabolic syndromeRenal insufficiency

Identifiers

PMID40034317
PMCPMC11874539

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.