Evidence map›Paper›PMID 38738278›Full record

ArticleKidney research and clinical practice2026

Impact of obesity on renal function in elderly Korean adults: a national population-based cohort study.

Jihyun Yang, Hui Seung Lee, Chi-Yeon Lim, Hyunsuk Kim, Sungjin Chung, Soon Hyo Kwon, Jang-Hee Cho, Kyung Don Yoo, Woo Yeong Park, In O Sun and 9 more

Abstract read
In one paragraph

Article in Kidney research and clinical practice, 2026. 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

19 authors.

Jihyun YangDepartment of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Hui Seung LeeDepartment of Biostatistics, Dongguk University College of Medicine, Goyang, Republic of Korea.
Chi-Yeon LimDepartment of Biostatistics, Dongguk University College of Medicine, Goyang, Republic of Korea.
Hyunsuk KimDepartment of Internal Medicine, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon, Republic of Korea.
Sungjin ChungDepartment of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Soon Hyo KwonDepartment of Internal Medicine, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea.
Jang-Hee ChoDepartment of Internal Medicine, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Kyung Don YooDepartment of Internal Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea.
Woo Yeong ParkDepartment of Internal Medicine, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu, Republic of Korea.
In O SunDepartment of Internal Medicine, Presbyterian Medical Center, Jeonju, Republic of Korea.
Byung Chul YuDepartment of Internal Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Republic of Korea.
Gang-Jee KoDepartment of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Jae Won YangDepartment of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
Won Min HwangDepartment of Internal Medicine, Konyang University Hospital, Daejeon, Republic of Korea.
Sang Heon SongDepartment of Internal Medicine, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea.
Sung Joon ShinDepartment of Internal Medicine, Dongguk University Ilsan Hospital, Dongguk University School of Medicine, Goyang, Republic of Korea.
Yu Ah HongDepartment of Internal Medicine, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul Republic of Korea.
Eunjin BaeDepartment of Internal Medicine, Gyeongsang National University Changwon Hospital, Gyeongsang National University College of Medicine, Changwon, Republic of Korea.
Young Youl HyunDepartment of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is a well-known risk factor for chronic kidney disease and its progression. However, the impact of obesity on the renal function of the elderly population is uncertain. We investigated the association between obesity and renal outcomes in the elderly.

methodsWe analyzed 130,504 participants from the Korean National Health Insurance Service-Senior cohort. Obesity was classified according to body mass index (BMI), sex-specific waist circumference (WC), and the presence of metabolic syndrome. The primary outcome was renal function decline, defined as a decline in the estimated glomerular filtration rate (eGFR) of at least 50% from baseline or new-onset end-stage renal disease.

resultsDuring a follow-up period of 559,531.1 person-years (median, 4.3 years), 2,486 participants (19.0%; incidence rate of 4.44 per 1,000 person-years) showed renal function decline. A multivariate Cox proportional hazards model revealed that BMI/WC was not associated with renal function decline. However, the group with metabolic syndrome had a significantly increased risk of renal function decline compared to the group without metabolic syndrome (adjusted hazard ratio [HR], 1.24; 95% confidence interval [CI], 1.13-1.36). Compared with the non-metabolic syndrome group, the adjusted HRs (95% CI) for participants with one through five components were 0.96 (0.84-1.11), 1.10 (0.96-1.27), 1.24 (1.06-1.45), 1.37 (1.12-1.66), and 1.99 (1.42-2.79), respectively (p for trend < 0.001).

conclusionIn elderly Korean adults, metabolic syndrome and the number of its components were associated with a higher risk of renal function decline, but BMI or WC was not significant.

Indexed as

ElderlyKidney functionMetabolic syndromeObesity

Identifiers

PMID38738278
PMCPMC12824505

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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.