Evidence map›Paper›PMID 41376836›Full record

ReviewWorld journal of hepatology2025

Pre-transplant downstaging strategies for hepatocellular carcinoma with portal vein tumor thrombus: Current therapies and future challenges.

Zong-Yang Li, Cheng Xie, Hong-Qiao Cai

Abstract readReview
In one paragraph

Review in World journal of hepatology, 2025. 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

3 authors.

Zong-Yang LiDepartment of Hepatobiliary and Pancreatic Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun 130021, Jilin Province, China.
Cheng XieDepartment of Hepatobiliary and Pancreatic Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun 130021, Jilin Province, China.
Hong-Qiao CaiDepartment of Hepatobiliary and Pancreatic Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun 130021, Jilin Province, China. hongqiaocai@jlu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) remains one of the leading causes of cancer-related mortality worldwide, with approximately 35%-50% of patients presenting concurrent portal vein tumor thrombus (PVTT). Untreated HCC patients with PVTT have a median survival of only 2.5-4 months, posing significant challenges to liver transplantation outcomes. Downstaging therapies play a pivotal role in improving transplant eligibility rates and optimizing post-transplant outcomes. This systematic review summarizes current downstaging therapies, including transarterial chemoembolization, transarterial radioembolization, proton beam therapy, intraportal radiofrequency ablation, and other novel systemic modalities. In-depth analysis of their clinical applications, efficacy, and safety profiles were performed. Furthermore, the review critically evaluates future challenges, including optimized downstaging criteria, personalized and precision medicine approaches, and novel biomaterials for localized therapy for downstaged HCC patients. This review provides comprehensive theoretical and practical insights into pre-transplant downstaging for HCC with PVTT, while highlighting critical avenues for future research and clinical decision-making.

Indexed as

Downstaging therapyHepatocellular carcinomaLiver transplantationPortal vein tumor thrombusTransarterial chemoembolization

Identifiers

PMID41376836
PMCPMC12687469

What OpenQuestion 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 OpenQuestion graph.