Evidence map›Paper›PMID 39267270›Full record

ArticleJournal of liver cancer2024

Multidisciplinary approaches to downstaging hepatocellular carcinoma: present and future.

Sang-Youn Hwang, Hyunwook Choi, Wan Jeon, Ryoung-Go Kim

Abstract read
In one paragraph

Article in Journal of liver cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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.

Sang-Youn HwangDepartment of Internal Medicine, Dongnam Institute of Radiological & Medical Sciences, Busan, Korea.
Hyunwook ChoiDepartment of Radiology, Dongnam Institute of Radiological & Medical Sciences, Busan, Korea.
Wan JeonDepartment of Radiation Oncology, Dongnam Institute of Radiological & Medical Sciences, Busan, Korea.
Ryoung-Go KimDepartment of Surgery, Dongnam Institute of Radiological & Medical Sciences, Busan, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Downstaging of hepatocellular carcinoma (HCC) is typically defined as the reduction in size or number of viable tumors through locoregional therapy (LRT), aiming to meet the established criteria for liver transplantation (LT). According to the Barcelona Clinic Liver Cancer (BCLC) staging system, a subgroup of patients with BCLC-B may benefit most from downstaging therapies. The United Network Organ Sharing downstaging protocol identifies potential candidates for downstaging by setting out 'inclusion criteria' and defining 'successful downstaging.' Additionally, the protocol considers factors related to tumor biology, such as an alphafetoprotein level <500 ng/mL after LRT. Reports indicate that successful downstaging rates following LRT are about 50%, with post- LT recurrence rates comparable to those of patients within the Milan criteria. A comprehensive multicenter US study on 10-year outcomes post-LT after downstaging showed 10-year post-LT survival and recurrence rates of 52.1% and 20.6%, respectively, for patients whose disease was downstaged; this compares to 61.5% and 13.3% for those consistently within the Milan criteria. Recently, the development of effective systemic treatments for HCC, such as immuno-oncologic agents, has provided additional opportunities for downstaging. Numerous clinical trials are exploring a multidisciplinary approach (MDA) combining LRT and systemic therapy. Although concrete evidence of the superiority of MDA for HCC downstaging is lacking, some retrospective studies and phase I and II trials have shown promising results regarding the efficacy and safety of MDA for this purpose. In this review, we will also discuss the future of MDA protocols in downstaging for improved clinical outcomes.

Indexed as

Carcinoma, hepatocellularDownstagingImmunotherapyMultidisciplinary approach

Identifiers

PMID39267270
PMCPMC11449578

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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.