Evidence map›Paper›PMID 39815798›Full record

ArticleKidney research and clinical practice2025

The impact of body mass index on mortality according to age in hemodialysis patients: an analysis of the Korean Renal Data System.

Hyunglae Kim, Seon A Jeong, Yoonjung Cho, Kyeong Min Kim, Sun Deuk Hwang, Sun Ryoung Choi, Hajeong Lee, Ji Hyun Kim, Su Hyun Kim, Tae Hee Kim and 8 more

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Article in Kidney research and clinical practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

18 authors.

Hyunglae KimDepartment of Internal Medicine, St. Vincent Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Seon A JeongThe Korean Society of Nephrology, Seoul, Republic of Korea.
Yoonjung ChoDepartment of Internal Medicine, St. Vincent Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Kyeong Min KimDepartment of Internal Medicine, Daejeon Eulji Medical Center, Eulji University College of Medicine, Daejeon, Republic of Korea.
Sun Deuk HwangDepartment of Internal Medicine, Inha University College of Medicine, Incheon, Republic of Korea.
Sun Ryoung ChoiDepartment of Internal Medicine, Samyook Medical Center, Seoul, Republic of Korea.
Hajeong LeeDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Ji Hyun KimDepartment of Pediatrics, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Su Hyun KimDepartment of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University College of Medicine, Gwangmyeong, Republic of Korea.
Tae Hee KimDepartment of Internal Medicine, Inje University College of Medicine, Busan, Republic of Korea.
Ho-Seok KooDepartment of Internal Medicine, Inje University College of Medicine, Busan, Republic of Korea.
Chang-Yun YoonYoon's Medical Clinic Dialysis Center, Seoul, Republic of Korea.
Kiwon KimSeoul One Clinic, Anyang, Republic of Korea.
Seon Ho AhnDepartment of Internal Medicine, Wonkwang University Hospital, Wonkwang University School of Medicine, Iksan, Republic of Korea.
Hye Eun YoonDepartment of Internal Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Tae Hyun BanDepartment of Internal Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, 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.
Yong Kyun KimDepartment of Internal Medicine, St. Vincent Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of age on the relationship between body mass index (BMI) and all-cause mortality in hemodialysis (HD) patients is not clearly understood. Using data from the Korean Renal Data System (2001-2022), we analyzed 66,129 HD patients, stratified into young (<65 years, n = 24,589), younger-old (65-74 years, n = 17,732), and older-old (≥75 years, n = 23,808) groups. Patients were categorized into BMI quartiles, and survival outcomes were evaluated using Kaplan-Meier curves and event time ratios for the relative change in the survival time. During the follow-up period, 14,360 of the patients (21.7%) died, with a median follow-up of 3.4 years. Kaplan-Meier curves revealed poorer outcomes in lower BMI quartiles across all age groups. The lowest BMI quartile was significantly associated with a shorter survival time compared to the highest BMI quartile, with a 15% reduction in the young group (p = 0.001) and a 12% reduction in the older-old group (p = 0.002). Predicted survival time increases with rising BMI in the young group, but the rate of increase slows in the younger-old group and plateaus in the older-old group after a BMI of 25 kg/m2. Lower BMI correlates with higher mortality, particularly in younger HD patients.

Indexed as

AgedBody mass indexMortalityRenal dialysisSurvival

Identifiers

PMID39815798
PMCPMC11985308

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