Evidence map›Paper›PMID 33479302›Full record

ArticleScientific reports2021

Changes in metabolic syndrome status affect the incidence of end-stage renal disease in the general population: a nationwide cohort study.

Eun Sil Koh, Kyung Do Han, Mee Kyoung Kim, Eun Sook Kim, Min-Kyung Lee, Ga Eun Nam, Oak-Kee Hong, Hyuk-Sang Kwon

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

8 authors.

Eun Sil KohDivision of Nephrology, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, 07345, Republic of Korea.
Kyung Do HanDepartment of Statistics and Actuarial Science, Soongsil University, Seoul, 06978, Republic of Korea.
Mee Kyoung KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 10, 63-ro, Yeongdeungpo-gu, Seoul, 07345, Republic of Korea.
Eun Sook KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Incheon, 21431, Republic of Korea.
Min-Kyung LeeDivision of Endocrinology and Metabolism, Department of Internal Medicine, Myongji Hospital, Hanyang University Medical Center, Gyeonggi-do 10475, Goyang-Si, Republic of Korea.
Ga Eun NamDepartment of Family Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, 02841, Republic of Korea.
Oak-Kee HongDivision of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 10, 63-ro, Yeongdeungpo-gu, Seoul, 07345, Republic of Korea.
Hyuk-Sang KwonDivision of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 10, 63-ro, Yeongdeungpo-gu, Seoul, 07345, Republic of Korea. drkwon@catholic.ac.kr.

Funding

National Research Foundation of Korea 2017R1D1A1B03031133National Research Foundation of Korea 2018R1D1A1B07049079
6 · The paper itself

Abstract

Few studies have investigated the impact of a change in metabolic syndrome (MetS) components on clinical renal outcomes in the general population. Using nationally representative data from the Korean National Health Insurance System, 13,310,924 subjects who underwent two health examinations over 2 years and were free from end-stage renal disease (ESRD) from 2009 to 2012 were followed to the end of 2016. The subjects were divided into four groups according to the change in MetS components between the two visits over 2 years: no MetS (-/-), post-MetS (-/+), pre-MetS (+/-), and both MetS (+/+). After a median follow up of 5.11 years, 18,582 incident ESRD cases were identified. In the multivariate adjusted model, the hazard ratio (HR) and 95% confidence interval (CI) for the development of ESRD in the both-MetS (+/+) group compared with the no-MetS (-/-) group was 5.65 (95% CI, 5.42-5.89), which was independent of age, sex, and baseline estimated glomerular filtration rate. Additionally, the HR for the pre-MetS (+/-) group versus the no-MetS (-/-) group was 2.28 (2.15-2.42). In subgroup analysis according to renal function, the impact of a change in MetS on the incidence of ESRD was more pronounced in individuals with advanced renal dysfunction. Subjects with resolved MetS components had a decreased risk of ESRD, but not as low as those that never had MetS components. This provides evidence supporting the strategy of modulating MetS in the general population to prevent the development of ESRD.

Indexed as

Population SurveillanceAdultAgedCase-Control StudiesCohort StudiesFemaleGlomerular Filtration RateHumansIncidenceKidney Failure, ChronicMaleMetabolic SyndromeMiddle AgedRepublic of Korea

Identifiers

PMID33479302
PMCPMC7820283

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