Evidence map›Paper›PMID 41087968›Full record

ArticleBMC infectious diseases2025

Disease trajectory and mortality among sepsis patients: a prospective cohort study.

Chunyang Li, Chao Zhang, Bo Wang, Jie Chen, Wenyi Zhang, Zhiye Ying, Huazhen Yang, Xiaoxi Zeng

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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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

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Chunyang Li *Division of Nephrology and West China Biomedical Big Data Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, Sichuan, 610041, China.
Chao Zhang *Division of Nephrology and West China Biomedical Big Data Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, Sichuan, 610041, China.
Bo WangDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Jie ChenDepartment of Core Laboratory, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Wenyi ZhangDepartment of Core Laboratory, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Zhiye YingDivision of Nephrology and West China Biomedical Big Data Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, Sichuan, 610041, China.
Huazhen YangDivision of Nephrology and West China Biomedical Big Data Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, Sichuan, 610041, China.
Xiaoxi ZengDivision of Nephrology and West China Biomedical Big Data Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, Sichuan, 610041, China. zengxiaoxi@wchscu.cn.

Funding

Key Research and Development Program of the Ministry of Science and Technology of the People's Republic of China. 2022YFC2504501
6 · The paper itself

Abstract

Sepsis is a life-threatening disease and among the most common cause of death, which influence a series of following medical conditions. A comprehensive analysis of the cross-talks with temporary order of disease trajectory or trajectory led to cause of death following sepsis remains unclear. By using data from population-based UK Biobank, 8647 septic patients matching with 86386 controls without sepsis were included. Individuals were followed-up from 1 month after the index date until the end of 2019 with linkage of inpatient or death records to the registers. Then conditional Cox regression, binomial test together with conditional logistic regression were conducted to visualize the disease trajectories and trajectories leading to cause of death in sepsis survivors. During a median follow-up of 3.99 years, sepsis significantly increased the risk of 113 subsequent medical conditions. By visualizing disease-disease associations with time-dependent sequence, we identified four main affected disease clusters after sepsis, including circulatory, metabolic, respiratory and genitourinary system disease, further linking a series of downstream health outcomes. We also identified trajectories leading to mortality in three major categories of death in sepsis survivors, which were neoplastic, circulatory and respiratory system disease. In addition, disease trajectory after sepsis differed in gender and age groups were also explored in our study. These trajectory networks visualize a series of pathways linking sepsis to a broad range health conditions and provide potential intervention targeting these diseases for inhibiting adverse events in sepsis patients.

Indexed as

SepsisAdultAgedAged, 80 and overCause of DeathFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsUnited KingdomCause of deathDisease networkDisease trajectoryMortalitySepsis

Identifiers

PMID41087968
PMCPMC12522946

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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.