Evidence map›Paper›PMID 36915996›Full record

ReviewJournal of Zhejiang University. Science. B2023

Advances in post-operative prognostic models for hepatocellular carcinoma.

Ziqin He, Xiaomin She, Ziyu Liu, Xing Gao, L U Lu, Julu Huang, Cheng Lu, Yan Lin, Rong Liang, Jiazhou Ye

Registry-linked trialAbstract readReview
In one paragraph

Review in Journal of Zhejiang University. Science. B, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07658586 (A Comprehensive Study of Liver Cancer Diagnosis and Prognosis Prediction Based on Artificial Intelligence and Multimodal Data), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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.

NCT07658586 active not recruitingnot on this mapstarted 2025, after this paper: background citation

A Comprehensive Study of Liver Cancer Diagnosis and Prognosis Prediction Based on Artificial Intelligence and Multimodal Data

TypeobservationalSponsorGuangxi Medical UniversityRan2025 to 2028Enrolled600ConditionsLiver Cancer, Hepatocellular Carcinoma, Intrahepatic Cholangiocarcinoma (Icc)
3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Competing risk analysis of surgical resectionTranslational cancer research · 2025
    Article
  6. Article
  7. Combinatorial chemistry & high throughput screening · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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

10 authors.

Ziqin HeDepartment of Medical Oncology, Guangxi Medical University Cancer Hospital, Nanning 530021, China.
Xiaomin SheDepartment of Medical Oncology, Guangxi Medical University Cancer Hospital, Nanning 530021, China.
Ziyu LiuDepartment of Medical Oncology, Guangxi Medical University Cancer Hospital, Nanning 530021, China.
Xing GaoDepartment of Medical Oncology, Guangxi Medical University Cancer Hospital, Nanning 530021, China.
L U LuDepartment of Medical Oncology, Guangxi Medical University Cancer Hospital, Nanning 530021, China.
Julu HuangDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning 530021, China.
Cheng LuDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning 530021, China.
Yan LinDepartment of Medical Oncology, Guangxi Medical University Cancer Hospital, Nanning 530021, China.
Rong LiangDepartment of Medical Oncology, Guangxi Medical University Cancer Hospital, Nanning 530021, China.
Jiazhou YeDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning 530021, China. yejiazhou@gxmu.edu.cn.

Funding

the Guangxi Scholarship Fund of Guangxi Education Department, the Guangxi Medical University Training Program for Distinguished Young Scholars, the Advanced Innovation Teams and Xinghu Scholars Program of Guangxi Medical University, the Guangxi Medical and Health Key Discipline Construction Project, and the Science and Technology Plan Project of Qingxiu District, Nanning 2020037, 2020038, 2021007, 2021010 and 2021012
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is one of the most common malignancies and a leading cause of cancer-related death worldwide. Surgery remains the primary and most successful therapy option for the treatment of early- and mid-stage HCCs, but the high heterogeneity of HCC renders prognostic prediction challenging. The construction of relevant prognostic models helps to stratify the prognosis of surgically treated patients and guide personalized clinical decision-making, thereby improving patient survival rates. Currently, the prognostic assessment of HCC is based on several commonly used staging systems, such as Tumor-Node-Metastasis (TNM), Cancer of the Liver Italian Program (CLIP), and Barcelona Clinic Liver Cancer (BCLC). Given the insufficiency of these staging systems and the aim to improve the accuracy of prognostic prediction, researchers have incorporated further prognostic factors, such as microvascular infiltration, and proposed some new prognostic models for HCC. To provide insights into the prospects of clinical oncology research, this review describes the commonly used HCC staging systems and new models proposed in recent years.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsHumansNeoplasm StagingPrognosisRetrospective StudiesSurvival RateBarcelona Clinic Liver Cancer (BCLC)Clinical stageHepatocellular carcinomaNomogramTumor-Node-Metastasis (TNM)

Identifiers

PMID36915996
PMCPMC10014320

What OpenQuestion holds

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Registered trials

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.