Evidence map›Paper›PMID 34858162›Full record

ArticleFrontiers in pharmacology2021

Prognostic Value of Inflammatory Indicators in Chronic Hepatitis B Patients With Significant Liver Fibrosis: A Multicenter Study in China.

Xiujuan Zhang, Yusheng Jie, Zemin Wan, Shanshan Lin, Yingxian Li, Ming Lin, Shuduo Wu, Xiaoju Wu, Meijie Shi, Huanming Xiao and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2021. 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
0.2field-weighted citation impact, top 46% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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

13 authors at 3 institutions in 1 country.

Xiujuan ZhangDepartment of Hepatology Diseases, Guangdong Provincial Hospital of Chinese Medicine Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Yusheng JieDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Zemin WanDepartment of Laboratory Medicine, Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Shanshan LinDepartment of Hepatology Diseases, Guangdong Provincial Hospital of Chinese Medicine Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Yingxian LiDepartment of Medical Education, Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Ming LinDepartment of Hepatology Diseases, Guangdong Provincial Hospital of Chinese Medicine Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Shuduo WuDepartment of Hepatology Diseases, Guangdong Provincial Hospital of Chinese Medicine Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Xiaoju WuDepartment of Hepatology Diseases, Guangdong Provincial Hospital of Chinese Medicine Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Meijie ShiDepartment of Hepatology Diseases, Guangdong Provincial Hospital of Chinese Medicine Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Huanming XiaoDepartment of Hepatology Diseases, Guangdong Provincial Hospital of Chinese Medicine Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Minling CaoDepartment of Hepatology Diseases, Guangdong Provincial Hospital of Chinese Medicine Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Jiao GongDepartment of Laboratory Medicine, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xiaoling ChiDepartment of Hepatology Diseases, Guangdong Provincial Hospital of Chinese Medicine Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Guangzhou University of Chinese Medicine · CNSun Yat-sen University · CNThird Affiliated Hospital of Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis of significant liver fibrosis is essential to facilitate the optimal treatment decisions and improve prognosis in patients with chronic hepatitis B (CHB). We aimed to evaluate the value of inflammatory indicators and construct a nomogram that effectively predicts significant liver fibrosis among CHB patients. 563 CHB patients from two centers in China from 2014 to 2019 were divided into three cohorts (development, internal validation, and independent validation cohorts), assigned into cases with significant fibrosis (liver fibrosis stages ≥2) and those without. Multiple biochemical and serological inflammatory indicators were investigated. Inflammatory indicators, Alanine aminotransferase (ALT) and aspartate aminotransferase (AST), were significantly associated with significant liver fibrosis in CHB patients but limited predictive performance, and then we combined them with prothrombin time activity percentage (PTA) and liver stiffness measurement (LSM) were identified by multivariate logistic regression analysis. Based on these factors, we constructed the nomogram with excellent performance. The area under the receiver operating characteristic curve (AUROC) for the nomogram in the development, internal validation, and independent validation cohorts were 0.860, 0.877, and 0.811, respectively. Our nomogram based on ALT and AST that had excellent performance in predicting significant fibrosis of CHB patients were constructed.

Indexed as

chronic hepatitis Bdiagnosisinflammatory indicatorsliver fibrosispredicting tool

Identifiers

PMID34858162
PMCPMC8631540
OpenAlexW3211705790

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.