Evidence map›Paper›PMID 41857050›Full record

ArticleNPJ science of food2026

Adherence to the EAT-Lancet Diet and Risk of Sepsis: A Prospective Cohort Study from the UK Biobank.

Wenbin Nan, Qiong Huang, Baimei He, Yinglan Liu, Zhenyu Peng

Abstract read
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In one paragraph

Article in NPJ science of food, 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

5 authors.

Wenbin Nan *Department of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, 410011, China.
Qiong Huang *National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory of Diabetes Immunology, Ministry of Education and Second Xiangya Hospital, Central South University, Changsha, 410011, China.
Baimei HeDepartment of Geriatric Respiratory and Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China.
Yinglan LiuDepartment of Endocrinology, The Second Affiliated Hospital of the University of South China, Hengyang, Hunan, 421001, China.
Zhenyu PengDepartment of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, 410011, China. pengzhenyu1999@csu.edu.cn.

Funding

Hunan Clinical Research Center for Obesity-Related Diseases 2023SK4052Hunan Provincial Natural Science Foundation 2022JJ30832National Natural Science Foundation of China 81100221Research Fund Project of Hunan Provincial Health Commission B2014-023
6 · The paper itself

Abstract

Sepsis remains a significant global health challenge due to its high incidence, mortality, and disability. While adherence to the EAT-Lancet diet has been shown to reduce the risk of various inflammatory and metabolic diseases, its impact on sepsis is not well understood. This study aimed to investigate the association between adherence to the EAT-Lancet diet and sepsis risk, considering genetic susceptibility and potential proteomic mechanisms. Data from 199,085 participants in the UK Biobank were analyzed, with sepsis cases identified using ICD-10 codes from hospital records. Higher adherence to the EAT-Lancet diet was linked to a significantly reduced risk of sepsis (HR 0.85, 95% CI: 0.78-0.93; P for trend <0.01). This protective effect was consistent across different genetic risk levels. Proteomic analysis revealed 43 plasma proteins that mediated this relationship, primarily involved in immune and inflammatory pathways. These findings suggest that greater adherence to the EAT-Lancet diet may lower sepsis risk, independent of genetic predisposition, through the modulation of immune-inflammatory proteins.

Identifiers

PMID41857050
PMCPMC13168231

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.