Evidence map›Paper›PMID 42120525›Full record

ArticleScientific reports2026

Development of a longitudinal predictive model for hepatocellular carcinoma occurrence in patients with chronic hepatitis B.

Apichat Kaewdech, Chanavee Toh, Pimsiri Sripongpun, Naichaya Chamroonkul, Pisit Tangkijvanich, Teerha Piratvisuth, Suthat Liangpunsakul, Paramee Thongsuksai, Thammasin Ingviya

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In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Apichat KaewdechGastroenterology and Hepatology Unit, Division of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.ORCID http://orcid.org/0000-0002-4058-5977
Chanavee TohDivision of Digital Innovation and Data Analytics, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.ORCID http://orcid.org/0009-0000-5404-1260
Pimsiri SripongpunGastroenterology and Hepatology Unit, Division of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.ORCID http://orcid.org/0000-0003-0007-8214
Naichaya ChamroonkulGastroenterology and Hepatology Unit, Division of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.ORCID http://orcid.org/0000-0002-5753-7939
Pisit TangkijvanichDepartment of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.ORCID http://orcid.org/0000-0002-2926-8671
Teerha PiratvisuthFaculty of Medicine, NKC Institute of Gastroenterology and Hepatology, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.ORCID http://orcid.org/0000-0002-5249-9208
Suthat LiangpunsakulDivision of Gastroenterology and Hepatology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.ORCID http://orcid.org/0000-0002-6504-8123
Paramee ThongsuksaiDepartment of Pathology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.ORCID http://orcid.org/0000-0003-4226-7988
Thammasin IngviyaDivision of Digital Innovation and Data Analytics, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand. thammasin.i@psu.ac.th.ORCID http://orcid.org/0000-0002-8894-3817

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) remains a major cause of morbidity and mortality among patients with chronic hepatitis B (CHB). Existing HCC risk scores are largely based on baseline variables and do not account for longitudinal changes over time. We aimed to develop and validate a longitudinal predictive model for HCC using time-dependent Cox regression. We retrospectively analyzed 4,431 patients with CHB followed between 2009 and 2022. After excluding patients with viral co-infections, early HCC, or incomplete data, 2,245 patients were included. The cohort was randomly divided into a training set (n = 1,685) and a test set (n = 562). Time-updated demographic, clinical, and laboratory variables were incorporated into the model. During follow-up, 121 patients developed HCC. Independent predictors of HCC included age, sex, platelet count, cirrhosis, serum albumin, and α-fetoprotein (AFP). These variables were incorporated into the final model (PSU HCC score): (0.023 × age) - (0.627 × female sex) - (0.847 × albumin) - (0.005 × platelet count [× 10

Indexed as

Carcinoma, HepatocellularHepatitis B, ChronicLiver NeoplasmsAdultalpha-FetoproteinsFemaleHumansLiver CirrhosisLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk Factorsalpha-FetoproteinsAlpha-fetoproteinsCarcinomaChronicCohort studiesHepatitis BHepatocellularLiver cirrhosisRisk assessmentTime factors

Identifiers

PMID42120525
PMCPMC13357748

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.