Evidence map›Paper›PMID 38783185›Full record

ArticleBMC gastroenterology2024

Noninvasive models for the prediction of liver fibrosis in patients with chronic hepatitis B.

Juanxia Wang, Xince Sun, Shibo Wei, Xinyue Chen, Haoyu Zhu, Youyou Liantang, Ruikun Bao, Yufeng Du

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. Article
  2. Article
  3. 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

8 authors.

Juanxia WangDepartment of Infectious Diseases, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Lanzhou, Gansu, 730030, China. 116543625@qq.com.
Xince SunDepartment of Infectious Diseases, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Lanzhou, Gansu, 730030, China.
Shibo WeiDepartment of Infectious Diseases, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Lanzhou, Gansu, 730030, China.
Xinyue ChenDepartment of Infectious Diseases, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Lanzhou, Gansu, 730030, China.
Haoyu ZhuDepartment of Infectious Diseases, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Lanzhou, Gansu, 730030, China.
Youyou LiantangDepartment of Infectious Diseases, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Lanzhou, Gansu, 730030, China.
Ruikun BaoDepartment of Epidemiology and Statistics, School of Public Health, Lanzhou University, No. 199 West Donggang R.D, Lanzhou, Gansu, 730000, China.
Yufeng DuDepartment of Epidemiology and Statistics, School of Public Health, Lanzhou University, No. 199 West Donggang R.D, Lanzhou, Gansu, 730000, China. dyf@lzu.edu.cn.

Funding

the Fundamental Research Funds for the Central Universities lzujbky-2020-8the National Science Foundation of Gansu Province 22JR5RA1000
6 · The paper itself

Abstract

objectiveTo evaluate the diagnostic accuracy of aspartate aminotransferase(AST)/ alanine transaminase (ALT), AST to platelet ratio index (APRI), fibrosis-4 score (FIB-4) and gamma-glutamyl transpeptidase to platelet count ratio (GPR) for hepatic fibrosis in patients with chronic hepatitis B (CHB).

methodsA total of 1210 CHB patients who underwent liver biopsy were divided into two groups: patients with no significant fibrosis (control group) and patients with significant fibrosis, and routine laboratory tests were retrospectively included. Logistic regression models were used for the prediction, and the area under the receiver operating characteristic (AUROC) was used to assess the diagnostic accuracy.

resultsA total of 631 (52.1%) and 275 (22.7%) patients had significant fibrosis (≥ S2) and advanced fibrosis (≥ S3), respectively. The GPR showed significantly higher diagnostic accuracy than that of APRI, FiB-4, and AST/ALT to predict ≥ S2(significant fibrosis) and ≥ S3 fibrosis(advanced fibrosis), with an AUROC was 0.69 (95%CI: 0.66-0.71) and 0.72 (0.69-0.75), respectively. After stratified by the status of HBeAg ( positive or negative), GPR, APRI, and FiB-4 showed improved predicting performance for significant fibrosis and advanced fibrosis in HBeAg positive patients, with the most significant improvement was shown for GPR in predicting significant fibrosis (AUROC = 0.74, 95%CI: 0.70-0.78).

conclusionsAmong the four noninvasive models, GPR has the best performance in the diagnosis of hepatic fibrosis in CHB patients and is more valuable in HBeAg-positive patients.

Indexed as

Alanine TransaminaseAspartate Aminotransferasesgamma-GlutamyltransferaseHepatitis B, ChronicLiver CirrhosisAdultBiomarkersBiopsyFemaleHepatitis B e AntigensHumansLiverLogistic ModelsMaleMiddle AgedPlatelet CountAlanine TransaminaseAspartate AminotransferasesBiomarkersgamma-GlutamyltransferaseHepatitis B e AntigensChronic hepatitis BLiver fibrosisNoninvasive models.Prediction

Identifiers

PMID38783185
PMCPMC11119390

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.