Evidence map›Paper›PMID 36808590›Full record

ArticleAnnals of surgical oncology2023

Disease-Free Interval and Tumor Stage Complementarily Predict the Biological Behavior of Recurrent Hepatocellular Carcinoma.

Junichi Shindoh, Masaru Matsumura, Masahiro Kobayashi, Miho Akabane, Satoshi Okubo, Masaji Hashimoto

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Article in Annals of surgical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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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.

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

6 authors.

Junichi ShindohHepatobiliary-Pancreatic Surgery Division, Department of Gastroenterological Surgery, Toranomon Hospital, Tokyo, Japan. shindou-tky@umin.ac.jp.
Masaru MatsumuraHepatobiliary-Pancreatic Surgery Division, Department of Gastroenterological Surgery, Toranomon Hospital, Tokyo, Japan.
Masahiro KobayashiHepatobiliary-Pancreatic Surgery Division, Department of Gastroenterological Surgery, Toranomon Hospital, Tokyo, Japan.
Miho AkabaneHepatobiliary-Pancreatic Surgery Division, Department of Gastroenterological Surgery, Toranomon Hospital, Tokyo, Japan.
Satoshi OkuboHepatobiliary-Pancreatic Surgery Division, Department of Gastroenterological Surgery, Toranomon Hospital, Tokyo, Japan.
Masaji HashimotoHepatobiliary-Pancreatic Surgery Division, Department of Gastroenterological Surgery, Toranomon Hospital, Tokyo, Japan.

Funding

Okinaka Memorial Institute for Medical Research 2022
6 · The paper itself

Abstract

backgroundCurrently used treatment algorithms were originally established based on the clinical outcomes of the initial treatment for primary hepatocellular carcinoma (HCC), and no strong evidence exists yet to suggest if these algorithms could also be applicable to patients with recurrent HCC after surgery. As such, this study sought to explore an optimal risk stratification method for cases of recurrent HCC for better clinical management.

methodsAmong the 1616 patients who underwent curative resection for HCC, the clinical features and survival outcomes of 983 patients who developed recurrence were examined in detail.

resultsMultivariate analysis confirmed that both the disease-free interval (DFI) from the previous surgery and tumor stage at recurrence were significant prognostic factors. However, the prognostic impact of DFI seemed different according to the tumor stages at recurrence. While curative-intent treatment showed strong influence on survival [hazard ratio (HR), 0.61; P < 0.001] regardless of the DFI in patients with stage 0 or stage A disease at recurrence, early recurrence (< 6 months) was a poor prognostic marker in patients with stage B disease. The prognosis of patients with stage C disease was exclusively influenced by the tumor distribution or choice of treatment than by the DFI.

conclusionsThe DFI complementarily predicts the oncological behavior of recurrent HCC, with its predictive value differing depending on the tumor stage at recurrence. These factors should be considered for selection of the optimal treatment in patients with recurrent HCC after curative-intent surgery.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsDisease-Free SurvivalHepatectomyHumansNeoplasm Recurrence, LocalPrognosisRetrospective Studies

Identifiers

PMID36808590

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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.