Evidence map›Paper›PMID 36926237›Full record

ReviewWorld journal of hepatology2023

Current status and prospect of treatments for recurrent hepatocellular carcinoma.

Yu-Qing Yang, Zhen-Yu Wen, Xiao-Yan Liu, Zhen-Hu Ma, Yan-E Liu, Xue-Ying Cao, Li Hou, Hui Xie

Abstract readReview
In one paragraph

Review in World journal of hepatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 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

8 authors.

Yu-Qing YangDepartment of Epidemiology and Biostatistics, Jilin University, Changchun 130021, Jilin Province, China.
Zhen-Yu WenDepartment of Occupational and Environmental Health, Jilin University, Changchun 130021, Jilin Province, China.
Xiao-Yan LiuSenior Department of Hepatology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China.
Zhen-Hu MaSenior Department of Oncology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China.
Yan-E LiuDepartment of Epidemiology and Biostatistics, Jilin University, Changchun 130021, Jilin Province, China.
Xue-Ying CaoSenior Department of Oncology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China.
Li HouSenior Department of Oncology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China.
Hui XieSenior Department of Oncology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China. xh302jr@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Owing to its heterogeneous and highly aggressive nature, hepatocellular carcinoma (HCC) has a high recurrence rate, which is a non-negligible problem despite the increasing number of available treatment options. Recent clinical trials have attempted to reduce the recurrence and develop innovative treatment options for patients with recurrent HCC. In the event of liver remnant recurrence, the currently available treatment options include repeat hepatectomy, salvage liver transplantation, tumor ablation, transcatheter arterial chemoembolization, stereotactic body radiotherapy, systemic therapies, and combination therapy. In this review, we summarize the strategies to reduce the recurrence of high-risk tumors and aggressive therapies for recurrent HCC. Additionally, we discuss methods to prevent HCC recurrence and prognostic models constructed based on predictors of recurrence to develop an appropriate surveillance program.

Indexed as

HepatectomyHepatocellular carcinomaLiver transplantationRecurrenceReviewTranscatheter arterial chemoembolization

Identifiers

PMID36926237
PMCPMC10011906

What OpenQuestion holds

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Registered trials

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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.