Evidence map›Paper›PMID 35029044›Full record

ArticleJournal of hepato-biliary-pancreatic sciences2022

Liver volume based prediction model for patients with hepatitis B virus-related acute-on-chronic liver failure.

Chunhua Hu, Na Jiang, Jie Zheng, Chenxia Li, Huihong Huang, Juan Li, Hongbing Li, Zhijie Gao, Nan Yang, Qi Xi and 10 more

Registry-linked trialAbstract read
In one paragraph

Article in Journal of hepato-biliary-pancreatic sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03977857 (Prediction Model Based on Computed Tomography Liver Volume for Predicting Short-term Mortality in Hepatitis B-Acute-on-Chronic Liver Failure), which is not on this 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.

NCT03977857 completednot on this map

Prediction Model Based on Computed Tomography Liver Volume for Predicting Short-term Mortality in Hepatitis B-Acute-on-Chronic Liver Failure

TypeobservationalSponsorFirst Affiliated Hospital Xi'an Jiaotong UniversityRan2019 to 2019Enrolled486ConditionsAcute-on-Chronic Liver Failure, Hepatitis B, Chronic
3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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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

20 authors.

Chunhua HuDepartment of Infectious Diseases, First Affiliated Teaching Hospital, School of Medicine (SOM), Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Na JiangDepartment of Infectious Diseases, Xi'an Eighth Hospital, School of Medicine (SOM), Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Jie ZhengClinical Research Centre, First Affiliated Teaching Hospital, School of Medicine (SOM), Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Chenxia LiDepartment of Radiology, First Affiliated Teaching Hospital, School of Medicine (SOM), Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Huihong HuangDepartment of Infectious Disease, Ankang Central Hospital, Ankang District, Shaanxi, China.
Juan LiDepartment of Infectious Diseases, First Affiliated Teaching Hospital, School of Medicine (SOM), Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Hongbing LiDepartment of Infectious Diseases, Weinan Central Hospital, Weinan District, Shaanxi, China.
Zhijie GaoDepartment of Infectious Diseases, First Affiliated Teaching Hospital, School of Medicine (SOM), Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Nan YangDepartment of Infectious Diseases, First Affiliated Teaching Hospital, School of Medicine (SOM), Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Qi XiDepartment of Infectious Diseases, Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine, Xianyang District, Shaanxi, China.
Jing WangDepartment of Infectious Diseases, First Affiliated Teaching Hospital, School of Medicine (SOM), Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Zitong LiuDepartment of Infectious Diseases, Hanzhong Central Hospital, Hanzhong District, Shaanxi, China.
Kemeng RaoDepartment of Infectious Diseases, Hanzhong 3201 Hospital, Hanzhong District, Shaanxi, China.
Heping ZhouDepartment of Radiology, Ankang Central Hospital, Ankang District, Shaanxi, China.
Tianhui LiThe Key Laboratory of Biomedical Information Engineering, Department of Biomedical Engineering, Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yi ChenDepartment of Infectious Diseases, First Affiliated Teaching Hospital, School of Medicine (SOM), Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yuelang ZhangDepartment of Radiology, First Affiliated Teaching Hospital, School of Medicine (SOM), Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Jian YangDepartment of Radiology, First Affiliated Teaching Hospital, School of Medicine (SOM), Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yingren ZhaoDepartment of Infectious Diseases, First Affiliated Teaching Hospital, School of Medicine (SOM), Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yingli HeDepartment of Infectious Diseases, First Affiliated Teaching Hospital, School of Medicine (SOM), Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID https://orcid.org/0000-0001-9444-3678

Funding

Clinical Research Award of the First Affiliated Hospital of Xi'an Jiaotong University XJTU1AF-CRF-2018-002Clinical Research Award of the First Affiliated Hospital of Xi'an Jiaotong University XJTU1AF-CRF-2019-026National Natural Science Foundation of China 81770622National Natural Science Foundation of China 81971310
6 · The paper itself

Abstract

backgroundHepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) is a life-threatening disease with high short-term mortality. Early and accurate prognosis is significant for clinical decisions, in which liver volume (LV) imparts important information. However, LV has not been considered in current prognostic models for HBV-ACLF.

methodsThree hundred and twenty-three patients were recruited to the deriving cohort, while 163 were enrolled to validation cohort. The primary end-point was death within 28 days since admission. Estimated liver volume (ELV) was calculated by the formula based on healthy population. Logistic regression was used to develop a prediction model. Accuracy of models were evaluated by receiver operating characteristic (ROC) curves.

resultsThe ratio of LV to ELV (LV/ELV%) was significantly lower in non-survivors, and LV/ELV% ≤82% indicated poor prognosis. LV/ELV%, Age, prothrombin time (PT), the grade of hepatic encephalopathy (HE), ln-transformed total bilirubin (lnTBil), and log-transformed HBV DNA (Log

conclusionLiver volume was an independent predictor, and LEAP-HBV, a prediction model based on LV, was developed for the short-term mortality in HBV-ACLF. This study was registered on ClinicalTrails (NCT03977857).

Indexed as

Acute-On-Chronic Liver FailureHepatic EncephalopathyHepatitis B, ChronicDNA, ViralHepatitis B virusHumansPrognosisRetrospective StudiesROC CurveDNA, Viralacute-on-chronic liver failurecomputer tomographyhepatitis Bliver volumeprediction model

Identifiers

PMID35029044
PMCPMC10078645

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Registered trials

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.