Evidence map›Paper›PMID 39712312›Full record

ArticleFrontiers in public health2024

Analysis of risk factors for sepsis-related liver injury and construction of a prediction model.

Yong He, Chi Wang, Wan He, He Zhang, Fei Ding, Ying Liu, He He, Binwu Ying, Xin Nie

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
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  5. Review
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  7. Initial Aspartate Aminotransferase-to-platelet Ratio Index is Associated with Sepsis-associated Liver Dysfunction in Adult Patients with Sepsis: A Retrospective Cohort Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025
    Article
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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

9 authors.

Yong He *Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Chi Wang *Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Wan HeDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
He ZhangDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Fei DingDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Ying LiuDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
He HeDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Binwu YingDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xin NieDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis is a leading cause of mortality in critically ill patients, and the liver is a key organ affected by sepsis. Sepsis-related liver injury (SRLI) is an independent risk factor for multiple organ dysfunction syndrome (MODS) and mortality. However, there is no clear diagnostic standard for SRLI, making early detection and intervention challenging. Objective: This study aimed to investigate the predictive value of serum indices for the occurrence of SRLI in adults to guide clinical practice. Methods: In this study, we investigated the predictive value of serum indices for SRLI in adults. We retrospectively analyzed data from 1,573 sepsis patients admitted to West China Hospital, Sichuan University, from January 2015 to December 2019. Patients were divided into those with and without liver injury. Stepwise logistic regression identified independent risk factors for SRLI, and a predictive model was constructed. The model's diagnostic efficacy was assessed using receiver operating characteristic (ROC) curve analysis. Results: Our results showed that alanine aminotransferase (ALT), gamma-glutamyl transpeptidase (GGT), carbon dioxide combining power (CO Conclusion: In conclusion, this study developed a highly accurate predictive model for SRLI using clinically accessible serum indicators, which could aid in early detection and intervention, potentially reducing mortality rates.

Indexed as

SepsisAdultAgedAlanine TransaminaseBiomarkersChinaFemalegamma-GlutamyltransferaseHumansLiver DiseasesLogistic ModelsMaleMiddle AgedMultiple Organ FailurePredictive Value of TestsRetrospective StudiesAlanine TransaminaseBiomarkersgamma-Glutamyltransferaseearly predictionliver injuryrisk factorsROC curvesepsis

Identifiers

PMID39712312
PMCPMC11659255

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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.