Evidence map›Paper›PMID 40442196›Full record

ArticleScientific reports2025

Synergistic impact of serum uric acid and ferritin on MAFLD risk: A comprehensive cohort analysis.

Miyeong Bae, Kwang Min Kim, Mi Hyeon Jin, Jeong-Hyun Yoon

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 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

4 authors.

Miyeong BaeDepartment of Pharmacy, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, South Korea.
Kwang Min KimDepartment of Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, 158 Paryong-ro, Changwon, 51353, South Korea. kwmin.kim@samsung.com.
Mi Hyeon JinDepartment of Research Support, School of Medicine, Samsung Changwon Hospital, Sungkyunkwan University, Changwon, Korea.
Jeong-Hyun YoonCollege of Pharmacy and Research Institute for Drug Development, Pusan National University, 2, Busandaehak-ro, 63 beon-gil, Geumjeong-gu, Busan, 46241, South Korea. jyoon@pusan.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The characterization of Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD) underscores metabolic anomalies as critical in fatty liver disease progression. Serum uric acid is increasingly recognized as a determinant for fatty liver diseases due to its association with metabolic disorders. Ferritin, in parallel, serves as an inflammatory marker closely tied to metabolic syndrome and insulin resistance. Our study explores the combined influence of serum uric acid and ferritin on MAFLD prevalence. We conducted a retrospective cohort analysis at Samsung Changwon Hospital's Health Screening Center (2011-2018), encompassing 7,818 individuals post-exclusion criteria. Participants were stratified into gender-specific quartiles based on serum uric acid and ferritin levels. Utilizing multivariable Cox proportional hazard models alongside Kaplan-Meier analysis, we assessed the incidence of MAFLD and its relationship with these serum biomarkers, also performing subgroup assessments by gender, age, and BMI. Over 41,819 person-years with an average observation period of 5.35 ± 2.06 years, 1,073 incident cases of MAFLD were recorded. The risk of MAFLD was notably higher within the upper quartiles of serum uric acid (HR: 2.17, 95% CI: 1.70-2.78). Each increment in natural logarithmic serum uric acid level correlated with an increased risk (HR: 3.65, 95% CI: 2.32-5.74). Serum ferritin also indicated an enhanced risk, albeit less pronounced. The simultaneous presence of elevated levels of both uric acid and ferritin correlated with the highest MAFLD risk (HR: 3.89, 95% CI: 2.41-6.28). Our findings affirm that high serum uric acid levels significantly escalate the risk of MAFLD, with serum ferritin levels contributing to a lesser yet substantial degree. The concurrent elevation of both biomarkers magnifies MAFLD risk, reinforcing the need for their combined assessment in MAFLD risk evaluation.

Indexed as

FerritinsNon-alcoholic Fatty Liver DiseaseUric AcidAdultAgedBiomarkersFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk FactorsBiomarkersFerritinsUric AcidHepatic steatosisRisk factorsSerum ferritinSerum uric acid

Identifiers

PMID40442196
PMCPMC12122690

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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.