Evidence map›Paper›PMID 38022727›Full record

ArticleJournal of hepatocellular carcinoma2023

Prognostic Factors for Patients with Proliferative Hepatocellular Carcinoma After Liver Resection.

Hong-Mei Li, Wei Huang, Chao Hu, Zi-Shu Zhang, Yu-Dong Xiao, Tian-Cheng Wang

Abstract read
In one paragraph

Article in Journal of hepatocellular carcinoma, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

6 authors.

Hong-Mei Li *Department of Radiology, the Second Xiangya Hospital of Central South University, Changsha, People's Republic of China.
Wei Huang *Department of Radiology, the Second Xiangya Hospital of Central South University, Changsha, People's Republic of China.ORCID 0009-0005-0593-830X
Chao HuDepartment of Radiology, the Second Xiangya Hospital of Central South University, Changsha, People's Republic of China.
Zi-Shu ZhangDepartment of Radiology, the Second Xiangya Hospital of Central South University, Changsha, People's Republic of China.
Yu-Dong XiaoDepartment of Radiology, the Second Xiangya Hospital of Central South University, Changsha, People's Republic of China.ORCID 0000-0002-6815-3447
Tian-Cheng WangDepartment of Radiology, the Second Xiangya Hospital of Central South University, Changsha, People's Republic of China.ORCID 0000-0002-5908-2771

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: There is a scarcity of predictive models currently accessible for prognosticating proliferative hepatocellular carcinoma (HCC), an integrated class of subtype, characterized by a dismal prognosis. Consequently, this study aimed to develop and validate a novel prognostic model capable of accurately predicting the prognosis of proliferative HCC after curative resection. Patients and Methods: This retrospective multicenter study included patients with solitary HCC who underwent curative liver resection from August 2014 to December 2020 (n = 816). Patients were stratified into either the proliferative HCC cohort (n = 259) or the nonproliferative HCC cohort (n = 557) based on histological criteria. Disease-free survival (DFS) was compared between the two groups before and after one-to-one propensity score matching (PSM). Of all the proliferative HCC patients, 203 patients were assigned to training cohort, and 56 patients were assigned to validation cohort. Univariate and multivariate analyses were performed in training cohort to identify risk factors associated with worse DFS. Thereafter, a predictive model was constructed, subsequently validated in the validation cohort. Results: The DFS of proliferative HCC was significantly worse than nonproliferative HCC before and after PSM. Meanwhile, multivariate regression analysis revealed that liver cirrhosis (P = 0.032) and larger tumor size (P = 0.000) were independent risk factors of worse DFS. Lastly, the discriminative abilities of the predictive model for 1, 3, 5-year DFS rates, as determined by receiver operating characteristic (ROC) curves, were 0.702, 0.720, and 0.809 in the training cohort and 0.752, 0.776, and 0.851 in the validation cohort, respectively. Conclusion: This study developed a predictive model with satisfactory accuracy to predict the worse DFS in proliferative HCCs after liver resection. Moreover, this predictive model may serve as a valuable tool for clinicians to predict postoperative HCC recurrence, thereby enabling them to implement early preventative strategies.

Indexed as

curative resectionhepatocellular carcinomanonproliferativepredictive modelproliferative

Identifiers

PMID38022727
PMCPMC10675999

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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.