Evidence map›Paper›PMID 40781351›Full record

ArticleCommunications medicine2025

Adding salt to foods increases the risk of metabolic dysfunction-associated steatotic liver disease.

Han Chen, Xujun Zhang, Shujuan Lin, Qiong Wu

Abstract read
In one paragraph

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

0numbers the graph read from it
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

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

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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

3 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

4 authors.

Han ChenDepartment of Epidemiology and Biostatistics, School of Public Health and Nursing, Hangzhou Normal University, Hangzhou, China.
Xujun ZhangDepartment of Pathology and Pathophysiology, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China.
Shujuan LinSchool of Basic Medicine Science, Key Laboratory of Translational Tumor Medicine in Fujian Province, Putian University, Putian, China. sjlin@zju.edu.cn.ORCID http://orcid.org/0000-0002-5692-4697
Qiong WuDepartment of Epidemiology and Biostatistics, School of Public Health and Nursing, Hangzhou Normal University, Hangzhou, China. 20220094@hznu.edu.cn.ORCID http://orcid.org/0009-0002-8146-3199

Funding

Natural Science Foundation of Fujian Province (Fujian Provincial Natural Science Foundation) 2023J05199
6 · The paper itself

Abstract

backgroundAlthough salt intake has been linked to multiple cardiometabolic diseases, whether the frequency of adding salt to foods, a reasonable proxy for long-term salt intake, is related to metabolic dysfunction-associated steatotic liver disease (MASLD) incidence remains unknown.

methodsThis prospective study included 494,110 UK Biobank participants (mean age 56.5 years) who were free of MASLD at baseline. Participants were followed for a median of 13.6 years. Cox proportional hazards models were used to examine the relationship between the frequency of adding salt to foods and incident MASLD. Mediation analyses explored the role of blood biomarkers, and interaction analyses assessed whether genetic factors modify this association.

resultsHere, we show that among the cohort, 7171 participants develop MASLD during follow-up. Compared to people who never or rarely adding salt, those who sometimes, usually, and always add salt to foods have 7%, 20%, and 35% higher risk, respectively. This association is stronger in people with normal body mass index and those who frequently drink alcohol. Blood markers of inflammation and metabolism, such as C-reactive protein, insulin-like growth factor-1, triglycerides, and urate, partially mediate this relationship. A significant interaction is observed, with PNPLA3 genetic susceptibility amplifying the MASLD risk associated with frequently adding salt to foods.

conclusionsA higher frequency of adding salt to foods is associated with increased MASLD risk. Reducing table salt use represents a simple, actionable strategy for disease prevention, particularly for genetically susceptible individuals.

Identifiers

PMID40781351
PMCPMC12334587

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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.