Evidence map›Paper›PMID 42079336›Full record

ReviewJournal of cancer prevention2026

Hepatocellular Carcinoma Over Three Decades: from Screening Evolution to Integrated Therapeutic Strategies.

Ke Huang, Myoung Ok Kim

Abstract readReview
In one paragraph

Review in Journal of cancer prevention, 2026. 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. 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

2 authors.

Ke HuangDepartment of Animal Science and Biotechnology, Research Institute for Innovative Animal Science, Kyungpook National University, Sangju, Korea.ORCID https://orcid.org/0000-0001-7421-662X
Myoung Ok KimDepartment of Animal Science and Biotechnology, Research Institute for Innovative Animal Science, Kyungpook National University, Sangju, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) continues to impose a substantial global health burden, with the incidence and the mortality remaining closely aligned despite major advances in diagnostics and therapeutics. Over the past three decades, screening and treatment technologies have evolved from single-marker surveillance to risk-stratified, multimodal assessment, and from standalone local therapies to integrated radiologic and immunologic strategies. However, these innovations have not translated into proportional population-level benefits, as early detection rates remain persistently low across many regions. This review provides a comprehensive synthesis of the three-decade evolution in HCC surveillance and treatment, highlighting how biomarker innovation, imaging standardization, and emerging systemic therapies have reshaped clinical practice, while identifying key barriers that continue to limit real-world impact, including metabolic disease-related imaging challenges, inconsistent long-term surveillance adherence, and pronounced disparities in healthcare access. By integrating epidemiologic trends, clinical evidence, and technological advances, this review emphasizes a central principle: meaningful improvement in HCC outcomes depends less on the availability of sophisticated tools than on the timely identification and management of patients within the curative window. The insights presented aim to develop future precision-based, equitable, and multimodal strategies for HCC prevention and control.

Indexed as

Combined modality therapyEarly diagnosisHepatocellular carcinomaRisk assessmentTherapeutics

Identifiers

PMID42079336
PMCPMC13128504

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.