Evidence map›Paper›PMID 36683638›Full record

ArticleWorld journal of clinical cases2022

Prognostic factors for disease-free survival in postoperative patients with hepatocellular carcinoma and construction of a nomogram model.

Pan-Quan Luo, Zheng-Hui Ye, Li-Xiang Zhang, En-Dong Song, Zhi-Jian Wei, A-Man Xu, Zhen Lu

Abstract read
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Article in World journal of clinical cases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Pan-Quan LuoDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230031, Anhui Province, China.
Zheng-Hui YeDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230031, Anhui Province, China.
Li-Xiang ZhangDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230031, Anhui Province, China.
En-Dong SongDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230031, Anhui Province, China.
Zhi-Jian WeiDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230031, Anhui Province, China.
A-Man XuDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230031, Anhui Province, China.
Zhen LuDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230011, Anhui Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is the most common type of liver cancer and has a high risk of invasion and metastasis along with a poor prognosis.

aimTo investigate the independent predictive markers for disease-free survival (DFS) in patients with HCC and establish a trustworthy nomogram.

methodsIn this study, 445 patients who were hospitalized in The First Affiliated Hospital of Anhui Medical College between December 2009 and December 2014 were retrospectively examined. The survival curve was plotted using the Kaplan-Meier method and survival was determined using the log-rank test. To identify the prognostic variables, multivariate Cox regression analyses were carried out. To predict the DFS in patients with HCC, a nomogram was created. C-indices and receiver operator characteristic curves were used to evaluate the nomogram's performance. Decision curve analysis (DCA) was used to evaluate the clinical application value of the nomogram.

resultsLonger DFS was observed in patients with the following characteristics: elderly, I-II stage, and no history of hepatitis B. The calibration curve showed that this nomogram was reliable and had a higher area under the curve value than the tumor node metastasis (TNM) stage. Moreover, the DCA curve revealed that the nomogram had good clinical applicability in predicting 3- and 5-year DFS in HCC patients after surgery.

conclusionAge, TNM stage, and history of hepatitis B infection were independent factors for DFS in HCC patients, and a novel nomogram for DFS of HCC patients was created and validated.

Indexed as

Disease-free survivalHepatocellular carcinomaNomogramPrognosis

Identifiers

PMID36683638
PMCPMC9850999

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