Evidence map›Paper›PMID 25634252›Full record

ArticleClinical and experimental nephrology2015

Longitudinal relationships of metabolic syndrome and obesity with kidney function: Healthy Twin Study.

Yun-Mi Song, Joohon Sung, Kayoung Lee

Abstract readTwin Study
PubMed Publisher
In one paragraph

Article in Clinical and experimental nephrology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
5.2field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Obesity as a predictive factor for chronic kidney disease in adults: systematic review and meta-analysis.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2021
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  16. The kidney in obesity.Current hypertension reports · 2015
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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

3 authors at 3 institutions in 1 country.

Yun-Mi SongDepartment of Family Medicine, Samsung Medical Center, Sungkyunkwan University, School of Medicine, Seoul, South Korea.
Joohon SungDepartment of Epidemiology, School of Public Health, Seoul National University, Seoul, South Korea.
Kayoung LeeDepartment of Family Medicine, Busan Paik Hospital, Inje University College of Medicine, 633-165 Gaegum-dong, Busan Jin-Gu, Busan, 614-735, South Korea. kayoung.fmlky@gmail.com.
Inje University Busan Paik Hospital · KRSamsung Medical Center · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo examine cross-sectional and longitudinal relationships, including genetic and environmental correlations, of metabolic syndrome (MetS) and obesity with kidney function.

methodsSubjects were 3,437 Korean adults of the Healthy Twin Study for cross-sectional relationships and 1,881 participants for longitudinal relationships (follow-up interval 3.7 ± 1.4 years). Obesity (body mass index ≥ 25 vs. <25 kg/m(2)), MetS, and chronic kidney disease [CKD; estimated glomerular filtration rate (eGFR) (<60 mL/min/1.73 m(2) using the modification of diet in renal disease study equation)] were categorized at baseline and follow-up.

resultsThe prevalence and incidence of chronic kidney disease were 2.5 and 3.3 %, respectively. Compared to individuals without obesity and MetS, prevalent CKD was associated with MetS regardless of weight status [adjusted odds ratio (AOR) 4.19 for those with MetS but without obesity; AOR 4.63 for those with MetS and obesity]. Incident CKD was associated with obesity regardless of baseline metabolic status (AOR 2.03 for those with obesity but without MetS; AOR 2.85 for those with obesity and MetS). MetS at follow-up was associated with incident CKD regardless of baseline MetS (AOR 2.42-2.52). Sex-adjusted bivariate analyses show inverse environmental correlations of the number of MetS components and BMI at baseline, with eGFR at baseline and follow-up (ρ E, -0.26 to -0.42, P < 0.001).

conclusionsMetS predicts prevalent CKD regardless of obesity, and obesity predicts incident CKD regardless of baseline MetS. Incident CKD is also associated with MetS at follow-up regardless of baseline MetS. These associations appear to be explained by shared environmental factors.

Indexed as

AdultAgedCross-Sectional StudiesDietFemaleGlomerular Filtration RateHumansIncidenceKidneyKidney Function TestsLongitudinal StudiesMaleMetabolic SyndromeMiddle AgedObesityPrevalenceChronic kidney diseaseMetabolic syndromeObesity

Identifiers

PMID25634252
OpenAlexW2009409254

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.