Evidence map›Paper›PMID 39122851›Full record

ArticleScientific reports2024

Impact of hyperuricemia on CKD risk beyond genetic predisposition in a population-based cohort study.

Yaerim Kim, Jinyeon Jo, Yunmi Ji, Eunjin Bae, Kwangbae Lee, Jin Hyuk Paek, Kyubok Jin, Seungyeup Han, Jung Pyo Lee, Dong Ki Kim and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Clinical outcomes in patients with cardiorenal multimorbidity: the role of serum uric acid/serum creatinine ratio.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2025
    Article
  5. Review
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

13 authors.

Yaerim Kim *Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Republic of Korea.
Jinyeon Jo *Department of Public Health Sciences, Institute of Health & Environment, School of Public Health, Seoul National University, Seoul, 08826, Republic of Korea.
Yunmi JiCollege of Natural Sciences, Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.
Eunjin BaeDepartment of Internal Medicine, Gyeongsang National University College of Medicine, Jinju, Republic of Korea.
Kwangbae LeeKorea Medical Institute, Seoul, Republic of Korea.
Jin Hyuk PaekDepartment of Internal Medicine, Keimyung University School of Medicine, Daegu, Republic of Korea.
Kyubok JinDepartment of Internal Medicine, Keimyung University School of Medicine, Daegu, Republic of Korea.
Seungyeup HanDepartment of Internal Medicine, Keimyung University School of Medicine, Daegu, Republic of Korea.
Jung Pyo LeeDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Dong Ki KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Chun Soo LimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Sungho WonDepartment of Public Health Sciences, Institute of Health & Environment, School of Public Health, Seoul National University, Seoul, 08826, Republic of Korea. won1@snu.ac.kr.
Jeonghwan LeeDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea. woogaelee@naver.com.

Funding

Seoul Metropolitan Government Seoul National University (SMG-SNU) Boramae Medical Center 04-2023-0040
6 · The paper itself

Abstract

The bidirectional effect of hyperuricemia on chronic kidney disease (CKD) underscores the importance of hyperuricemia as a risk factor for CKD. We evaluated the effect of hyperuricemia on the presence and development of CKD after considering genetic background by calculating polygenic risk scores (PRSs). We employed genome-wide association study summary statistics-excluding the United Kingdom Biobank (UKB) datasets among published CKD Gen Consortium papers-to calculate the PRSs for CKD in white background subjects. To validate PRS performance, we divided the UKB into two datasets to validate and test the data. We used logistic regression analysis to evaluate the association between hyperuricemia and CKD, and performed Kaplan-Meier survival analysis exclusively for subjects with available follow-up data. In total, 438,253 clinical data and 4,307,940 single nucleotide polymorphisms from 459,155 samples were included. We observed a significant positive association between PRS and CKD and the presence and development of CKD. Hyperuricemia significantly increased CKD risk (adjusted odds ratio 1.55, 95% confidence interval 1.48-1.61). The impact of hyperuricemia on CKD was maintained irrespective of PRS range. In addition, negative interaction between hyperuricemia and PRS for CKD was found. Survival analysis indicates that the presence of hyperuricemia significantly increased the risk of CKD development. The PRS for CKD thoroughly reflects the risk of CKD development. Hyperuricemia is a significant indicator of CKD risk, even after incorporating the genetic risk score for CKD. Irrespective of genetic risk, patients with a prospective risk of developing CKD require uric acid monitoring and management.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyHyperuricemiaPolymorphism, Single NucleotideRenal Insufficiency, ChronicAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedMultifactorial InheritanceRisk FactorsUnited KingdomChronic kidney diseaseHyperuricemiaPolygenic risk scoreUric acid

Identifiers

PMID39122851
PMCPMC11316130

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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.