Evidence map›Paper›PMID 39543468›Full record

ArticleBMC gastroenterology2024

Risk factors and prognostic impact of new decompensated events in hospitalized patients with decompensated cirrhosis.

Yan Lan, Yue Yu, Xiuding Zhang, Xianbin Xu, Xia Yu, Huilan Tu, Shaoheng Ye, Haoda Weng, Yu Shi, Jifang Sheng

Abstract read
In one paragraph

Article in BMC gastroenterology, 2024. 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

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

3 citing papers in PubMed.

  1. Traveling with chronic viral hepatitis.Tropical diseases, travel medicine and vaccines · 2026
    Review
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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

10 authors.

Yan LanState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, No. 79 Qingchun Road, Hangzhou, 310003, China.
Yue YuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, No. 79 Qingchun Road, Hangzhou, 310003, China.
Xiuding ZhangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, No. 79 Qingchun Road, Hangzhou, 310003, China.
Xianbin XuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, No. 79 Qingchun Road, Hangzhou, 310003, China.
Xia YuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, No. 79 Qingchun Road, Hangzhou, 310003, China.
Huilan TuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, No. 79 Qingchun Road, Hangzhou, 310003, China.
Shaoheng YeState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, No. 79 Qingchun Road, Hangzhou, 310003, China.
Haoda WengState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, No. 79 Qingchun Road, Hangzhou, 310003, China.
Yu ShiState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, No. 79 Qingchun Road, Hangzhou, 310003, China. zjushiyu@zju.edu.cn.
Jifang ShengState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, No. 79 Qingchun Road, Hangzhou, 310003, China. jifang_sheng@zju.edu.cn.

Funding

Chinese National Natural Science Foundation No.81870425Medical Health Science and Technology Project of Zhejiang Provincial Health Commission No.2022RC141National Key Research and Development Program of China No.2022YFC2304501
6 · The paper itself

Abstract

backgroundDecompensated cirrhosis (DC) is prone to recurrent episodes of decompensation following the initial event. This study aimed to identify the risk factors for subsequent decompensation and assess their impact on the outcomes of patients hospitalized for DC.

methodsPatients with DC were divided into two groups based on the occurrence of new decompensated events during hospitalization. Logistic regression analysis was employed to identify risk factors for new decompensation. The Cox proportional hazards model was used to evaluate the relationship between new decompensation and short-term mortality risk in these patients.

resultsThe study cohort consisted of 339 patients with DC, with a median age of 57 years. During hospitalization, 83 patients (24.5%) experienced new decompensated events, with bacterial infections (BIs) being the most common (n = 46, 13.6%). Multivariate analysis revealed that the Model for End-Stage Liver Disease (MELD) score at admission (OR = 1.06, 95% CI: 1.02-1.11, P = 0.005) was the sole risk factor for new decompensation during hospitalization. Patients who experienced new decompensation had significantly higher 28-day (28.9% vs. 7.0%, P < 0.001) and 90-day (33.7% vs. 15.2%, P < 0.001) transplant-free mortality compared to those who did not. After adjusting for white cell count, C-reactive protein, and MELD score, new decompensation during hospitalization was identified as an independent risk factor for 28-day and 90-day mortality (HR = 2.63, 95% CI: 1.42-4.87, P = 0.002 and HR = 1.73, 95% CI: 1.04-2.88, P = 0.033, respectively).

conclusionsPatients with high MELD scores are susceptible to new decompensation during hospitalization, and the occurrence of new decompensation adversely affects short-term mortality in patients with DC.

Indexed as

HospitalizationLiver CirrhosisAgedBacterial InfectionsFemaleHumansMaleMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesRisk FactorsSeverity of Illness IndexDecompensated cirrhosisFirst decompensationMELD scoreNew decompensated eventsPrognosis

Identifiers

PMID39543468
PMCPMC11566372

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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 OpenQuestion graph.