Evidence map›Paper›PMID 42171914›Full record

ReviewCurrent oncology reports2026

Advancing Systemic Treatment beyond First Line for Advanced Hepatocellular Carcinoma.

Piotr T Wysocki, Paulina Chmiel, Jacek Jassem, Leszek Kraj

Abstract readReview
In one paragraph

Review in Current oncology reports, 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

4 authors.

Piotr T WysockiDepartment of Oncology and Radiotherapy, Medical University of Gdańsk, Gdańsk, Poland.
Paulina ChmielDepartment of Soft Tissue/Bone Sarcoma and Melanoma, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781, Warsaw, Poland.
Jacek JassemDepartment of Oncology and Radiotherapy, Medical University of Gdańsk, Gdańsk, Poland.
Leszek KrajDepartment of Oncology, Medical University of Warsaw, 02-091, Warsaw, Poland. leszek.kraj@wum.edu.pl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewHepatocellular carcinoma (HCC) ranks among the most prevalent solid malignancies worldwide. A substantial proportion of patients are diagnosed at advanced stages, making systemic therapies the primary treatment option. In recent years, treatment strategies have shifted from single-agent targeted therapies, such as sorafenib and lenvatinib, to combination regimens incorporating immune checkpoint inhibitors, with or without antiangiogenic agents. This evolving treatment paradigm has led to an increasing number of patients receiving second-line and subsequent therapies. However, clinical guidelines for treatment selection remain lacking. RECENT

findingsCurrently, available salvage therapies include various molecularly targeted agents, immune checkpoint inhibitors, and combination regimens. Nonetheless, evidence supporting their efficacy and patient selection for specific strategies in this setting remains scarce. This review summarizes recent clinical advancements and explores emerging strategies to optimize systemic treatment options beyond first-line therapy in the increasingly complex landscape of advanced HCC.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsCarcinoma, HepatocellularLiver NeoplasmsAngiogenesis InhibitorsHumansImmune Checkpoint InhibitorsMolecular Targeted TherapyPhenylurea CompoundsSalvage TherapySorafenibAngiogenesis InhibitorsImmune Checkpoint InhibitorsPhenylurea CompoundsSorafenibHCCHepatocellular carcinomaImmunotherapyMolecular targeted agentsSecond-line treatment

Identifiers

PMID42171914
PMCPMC13197303

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.