Evidence map›Paper›PMID 42638923›Full record

ArticleFrontiers in nutrition2026

Association between nutritional status and sepsis-induced coagulopathy: a multicenter retrospective cohort study.

Jiyuan Zhang, Lujia Tang, Zhihui Feng, Chaoping Ma, Peixian Xu, Jiawei Ye, Chengjin Gao

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jiyuan Zhang *The Department of Emergency, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lujia Tang *The Department of Emergency, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhihui FengThe Department of Emergency, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chaoping MaThe Department of Emergency, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Peixian XuThe Department of Emergency, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jiawei YeThe Department of Emergency, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chengjin GaoThe Department of Emergency, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Malnutrition and sepsis-induced coagulopathy (SIC) are common and critical complications in septic patients. This study aimed to evaluate the association between nutritional status and SIC, as well as their combined effects on clinical outcomes in adult septic patients. Methods: This retrospective study extracted data from the MIMIC-IV v3.1 and eICU databases, and additionally enrolled adult patients with sepsis who received treatment at Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from 2021 to October 2022. Baseline clinical characteristics were compared between patients with and without SIC, and between patients with and without nutritional risk. Logistic regression models were constructed to identify independent risk factors for SIC, and restricted cubic spline curves were plotted to visualize dose-response relationships. The Random Forest machine learning method was used to evaluate the association between nutritional indicators and SIC. We used Spearman correlation analysis to investigate the relationship between nutritional indicators and SOFA and SIC scores, as well as coagulation indicators. The associations among nutritional indicators were assessed using logistic proportional hazards models, and interactions were examined on both additive and multiplicative scales. Results: Patients with SIC had lower Geriatric Nutritional Risk Index (GNRI) and Prognostic Nutritional Index (PNI) scores and higher mortality rates, with statistically significant differences observed in the MIMIC and eICU cohorts ( Conclusion: Malnutrition and SIC are associated with higher mortality rates in sepsis. Nutritional status is independently associated with the risk of SIC in adults.

Indexed as

eICU databaseGNRIMIMIC-IV databasePNIsepsis-induced coagulopathy

Identifiers

PMID42638923
PMCPMC13500337

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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.