Evidence map›Paper›PMID 38747848›Full record

ArticleRevista do Instituto de Medicina Tropical de Sao Paulo2024

Dynamic evaluation of liver fibrosis to assess hepatocellular carcinoma risk in patients with chronic hepatitis B receiving nucleoside analogs treatment.

Jia Luo, Ming Yuan, Shan Li, Lijuan Chen, Mingsha Zhou, Hailan Li, Xiuyuan Bai, Zhiyu Zhang, Weiqi Zeng, Xueyi Sun and 3 more

Abstract read
In one paragraph

Article in Revista do Instituto de Medicina Tropical de Sao Paulo, 2024. 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

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.

  1. [Real-time or dynamic non-invasive liver fibrosis testing for evaluating clinical prognoses and predicting chronic liver disease].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    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

13 authors.

Jia LuoChongqing Medical University, School of Public Health, Department of Epidemiology, Chongqing, China.
Ming YuanChongqing Medical and Pharmaceutical College, Chongqing, China.
Shan LiChongqing Medical University, School of Public Health, Department of Epidemiology, Chongqing, China.
Lijuan ChenChongqing Medical University, School of Public Health, Department of Epidemiology, Chongqing, China.
Mingsha ZhouChongqing Medical University, School of Public Health, Department of Epidemiology, Chongqing, China.
Hailan LiChongqing Medical University, School of Public Health, Department of Epidemiology, Chongqing, China.
Xiuyuan BaiChongqing Medical University, School of Public Health, Chongqing, China.
Zhiyu ZhangChongqing Medical University, School of Public Health, Chongqing, China.
Weiqi ZengChongqing Medical University, School of Public Health, Chongqing, China.
Xueyi SunChongqing Medical University, School of Public Health, Chongqing, China.
Qiongfang ZhangChongqing Medical University, School of Public Health, Chongqing, China.
Yi ChenChongqing Medical University, School of Public Health, Chongqing, China.
Li ZhouChongqing Medical University, School of Public Health, Department of Epidemiology, Chongqing, China.ORCID http://orcid.org/0000-0002-6523-9747

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite good hepatitis B virus (HBV) inhibition by nucleoside analogs (NAs), cases of hepatocellular carcinoma (HCC) still occur. This study proposed a non-invasive predictive model to assess HCC risk in patients with chronic hepatitis B (CHB) receiving NAs treatment. Data were obtained from a hospital-based retrospective cohort registered on the Platform of Medical Data Science Academy of Chongqing Medical University, from 2013 to 2019. A total of 501 patients under NAs treatment had their FIB-4 index updated semiannually by recalculation based on laboratory values. Patients were divided into three groups based on FIB-4 index values: < 1.45, 1.45-3.25, and ≥ 3.25. Subsequently, HCC incidence was reassessed every six months using Kaplan-Meier curves based on the updated FIB-4 index. The median follow-up time of CHB patients after receiving NAs treatment was 2.5 years. HCC incidences with FIB-4 index < 1.45, 1.45-3.25, and ≥ 3.25 were 1.18%, 1.32%, and 9.09%, respectively. Dynamic assessment showed that the percentage of patients with FIB-4 index < 1.45 significantly increased semiannually (P < 0.001), and of patients with FIB-4 index ≥ 3.25 significantly decreased (P < 0.001). HCC incidence was the highest among patients with FIB-4 index ≥ 3.25. The FIB-4 index effectively predicted HCC incidence, and its dynamic assessment could be used for regular surveillance to implement early intervention and reduce HCC risk.

Indexed as

Antiviral AgentsCarcinoma, HepatocellularHepatitis B, ChronicLiver CirrhosisLiver NeoplasmsAdultFemaleHumansIncidenceMaleMiddle AgedNucleosidesRetrospective StudiesRisk AssessmentRisk FactorsAntiviral AgentsNucleosides

Identifiers

PMID38747848
PMCPMC11095248

What Socratic 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 Socratic graph.