Evidence map›Paper›PMID 36304504›Full record

ArticleJournal of clinical and translational hepatology2022

A Prognostic Nomogram with High Accuracy Based on 2D-SWE in Patients with Acute-on-chronic Liver Failure.

Lili Wu, Jieyang Jin, Taicheng Zhou, Yuankai Wu, Xinhua Li, Xiangyong Li, Jie Zeng, Jinfen Wang, Jie Ren, Yutian Chong and 1 more

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In one paragraph

Article in Journal of clinical and translational hepatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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.

Lili WuDepartment of Medical Ultrasonics, Third Affiliated Hospital of Sun Yat-Sen University, Guangdong Key Laboratory of Liver Disease Research, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0001-6764-9187
Jieyang JinDepartment of Medical Ultrasonics, Third Affiliated Hospital of Sun Yat-Sen University, Guangdong Key Laboratory of Liver Disease Research, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0002-4707-7721
Taicheng ZhouDepartment of Gastroenterological Surgery and Hernia Center, Sixth Affiliated Hospital of Sun Yat-Sen University, Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Supported by National Key Clinical Discipline, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0003-0582-1150
Yuankai WuDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0002-0408-9319
Xinhua LiDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0002-6748-9803
Xiangyong LiDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
Jie ZengDepartment of Medical Ultrasonics, Third Affiliated Hospital of Sun Yat-Sen University, Guangdong Key Laboratory of Liver Disease Research, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0003-0159-8051
Jinfen WangDepartment of Medical Ultrasonics, Third Affiliated Hospital of Sun Yat-Sen University, Guangdong Key Laboratory of Liver Disease Research, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0001-9259-9345
Jie RenDepartment of Medical Ultrasonics, Third Affiliated Hospital of Sun Yat-Sen University, Guangdong Key Laboratory of Liver Disease Research, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0003-2599-9001
Yutian ChongDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0001-8215-4393
Rongqin ZhengDepartment of Medical Ultrasonics, Third Affiliated Hospital of Sun Yat-Sen University, Guangdong Key Laboratory of Liver Disease Research, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0002-7129-8436

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Acute-on-chronic liver failure (ACLF) is associated with very high mortality. Accurate prediction of prognosis is critical in navigating optimal treatment decisions to improve patient survival. This study was aimed to develop a new nomogram integrating two-dimensional shear wave elastography (2D-SWE) values with other independent prognostic factors to improve the precision of predicting ACLF patient outcomes. Methods: A total of 449 consecutive patients with ACLF were recruited and randomly allocated to a training cohort ( Results: A ACLF prognostic nomogram was developed with independent prognostic factors, including 2D-SWE, age, total bilirubin (TB), neutrophils (Neu), and the international normalized ratio (INR). The area under the ROC curve (AUC) was 0.849 for the new model in the training cohort and 0.861 in the prospective validation cohort, which were significantly greater than those for MELD (0.758), MELD-Na (0.750), and Jin's model (0.777, all Conclusions: We established and validated a 2D-SWE-based noninvasive nomogram to predict the prognosis of ACLF patients that was more accurate than other prognostic models.

Indexed as

Acute-on-chronic liver failureHepatitis B virusPrognosisTwo-dimensional shear wave elastography

Identifiers

PMID36304504
PMCPMC9547255

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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.