Evidence map›Paper›PMID 42293350›Full record

ArticleJournal of hepatocellular carcinoma2026

Comparable Long-Term Survival After Curative Hepatectomy for Solitary Large (5-10 cm) versus Giant (≥10 cm) Hepatocellular Carcinoma: A Retrospective Study.

Kunyuan Jiang, Jingfei Li, Dongli Zhang, Weiping Wang, Jun Chang

Abstract read
In one paragraph

Article in Journal of hepatocellular carcinoma, 2026. 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

5 authors.

Kunyuan Jiang *Department of General Surgery, Kunshan Second People's Hospital, Suzhou, Jiangsu, People's Republic of China.
Jingfei Li *Department of Emergency Surgery, The First Affiliated Hospital of the University of Science and Technology of China, Hefei, Anhui, People's Republic of China.
Dongli ZhangDepartment of General Surgery, Kunshan Second People's Hospital, Suzhou, Jiangsu, People's Republic of China.
Weiping WangDepartment of General Surgery, Kunshan Second People's Hospital, Suzhou, Jiangsu, People's Republic of China.
Jun ChangDepartment of General Surgery, Kunshan Second People's Hospital, Suzhou, Jiangsu, People's Republic of China.ORCID 0000-0001-0288-0924

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aims to compare long-term oncological outcomes after curative hepatectomy in patients with solitary large versus giant HCC. Patients and Methods: This dual-center study included 281 patients with solitary HCC ≥5 cm undergoing R0 hepatectomy, stratified into large (5-10 cm) and giant (≥10 cm) cohorts. 1:1 PSM matched potential confounding variables. Primary endpoint was recurrence-free survival (RFS), analyzed through Kaplan-Meier methods with Log rank testing. Results: At baseline, giant HCC (n=90) patients exhibited significantly higher rates of AFP ≥200 ng/mL, major hepatectomy, and intraoperative transfusion compared to large HCC (n=191) cohort. After PSM, 82 patients were allocated to each group, with all baseline characteristics well-balanced. The RFS analysis revealed comparable outcomes between large and giant HCC groups: pre-PSM median RFS, 29.6 vs 26.5 months (HR 0.864, 95% CI 0.615-1.214, Conclusion: Patients with solitary giant HCC amenable to upfront curative hepatectomy achieved similar RFS compared to large HCC after surgery, tumor biological characteristics (AFP levels and MVI status) are the primary determinants of postoperative prognosis in HCC patients.

Indexed as

hepatectomyhepatocellular carcinomapropensity score analysisrecurrence-free survivaltumor size

Identifiers

PMID42293350
PMCPMC13262585

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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.