Evidence map›Paper›PMID 34966646›Full record

ArticleJournal of clinical and translational hepatology2021

Prognostic Nomogram for Patients with Hepatitis E Virus-related Acute Liver Failure: A Multicenter Study in China.

Jian Wu, Cuifen Shi, Xinyu Sheng, Yanping Xu, Jinrong Zhang, Xinguo Zhao, Jiong Yu, Xinhui Shi, Gongqi Li, Hongcui Cao and 1 more

Abstract read
In one paragraph

Article in Journal of clinical and translational hepatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. [Global differences and challenges in the definition of acute liver failure].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
    Review
  2. The Gut Microbiota in Elderly Patients with Acute Hepatitis E Infection.Journal of clinical and translational hepatology · 2025
    Article
  3. Article
  4. Realm of hepatitis E: Challenges and opportunities.World journal of experimental medicine · 2024
    Article
  5. Viral hepatitis-induced acute liver failure.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2024
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
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

11 authors.

Jian WuState Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0003-0087-3744
Cuifen ShiDepartment of Infectious Disease, The Second People's Hospital of Yancheng City, Yancheng, Jiangsu, China.
Xinyu ShengState Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0002-0984-2592
Yanping XuState Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0002-6133-8676
Jinrong ZhangDepartment of Laboratory Medicine, The People's Hospital of Dafeng City, Yancheng, Jiangsu, China.
Xinguo ZhaoDepartment of Respiration, The Fifth People's Hospital of Wuxi, Wuxi, Jiangsu, China.
Jiong YuState Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0002-1821-1178
Xinhui ShiDepartment of Laboratory Medicine, The First People's Hospital of Yancheng City, Yancheng, Jiangsu, China.
Gongqi LiDepartment of Clinical Laboratory, Linyi Traditional Hospital, Linyi, Shandong, China.
Hongcui CaoState Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0002-6604-6867
Lanjuan LiState Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0001-6945-0593

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsTimely and effective assessment scoring systems for predicting the mortality of patients with hepatitis E virus-related acute liver failure (HEV-ALF) are urgently needed. The present study aimed to establish an effective nomogram for predicting the mortality of HEV-ALF patients.

methodsThe nomogram was based on a cross-sectional set of 404 HEV-ALF patients who were identified and enrolled from a cohort of 650 patients with liver failure. To compare the performance with that of the model for end-stage liver disease (MELD) scoring and CLIF-Consortium-acute-on-chronic liver failure score (CLIF-C-ACLFs) models, we assessed the predictive accuracy of the nomogram using the concordance index (C-index), and its discriminative ability using time-dependent receiver operating characteristics (td-ROC) analysis, respectively.

resultsMultivariate logistic regression analysis of the development set carried out to predict mortality revealed that γ-glutamyl transpeptidase, albumin, total bilirubin, urea nitrogen, creatinine, international normalized ratio, and neutrophil-to-lymphocyte ratio were independent factors, all of which were incorporated into the new nomogram to predict the mortality of HEV-ALF patients. The area under the curve of this nomogram for mortality prediction was 0.671 (95% confidence interval: 0.602-0.740), which was higher than that of the MELD and CLIF-C-ACLFs models. Moreover, the td-ROC and decision curves analysis showed that both discriminative ability and threshold probabilities of the nomogram were superior to those of the MELD and CLIF-C-ACLFs models. A similar trend was observed in the validation set.

conclusionsThe novel nomogram is an accurate and efficient mortality prediction method for HEV-ALF patients.

Indexed as

Acute liver failureHepatitis EMortality predictionNomogramScoring model

Identifiers

PMID34966646
PMCPMC8666371

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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.