Evidence map›Paper›PMID 33241008›Full record

ArticleAnnals of translational medicine2020

Predicting the survival rate of patients with hepatocellular carcinoma after thermal ablation by nomograms.

Yan Zhou, Jianmin Ding, Zhengyi Qin, Yijun Wang, Jiayi Zhang, Kefeng Jia, Yandong Wang, Hongyu Zhou, Fengmei Wang, Xiang Jing

Abstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Yan ZhouDepartment of Ultrasound, Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin, China.
Jianmin DingDepartment of Ultrasound, Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin, China.
Zhengyi QinThe Third Central Clinical College of Tianjin Medical University, Tianjin, China.
Yijun WangDepartment of Hepatobiliary Surgery, Tianjin Third Central Hospital, Tianjin, China.
Jiayi ZhangThe Third Central Clinical College of Tianjin Medical University, Tianjin, China.
Kefeng JiaDepartment of Radiology, Tianjin Third Central Hospital, Tianjin, China.
Yandong WangDepartment of Ultrasound, Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin, China.
Hongyu ZhouDepartment of Ultrasound, Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin, China.
Fengmei WangDepartment of Gastroenterology and Hepatology, Tianjin Second People's Hospital, Tianjin, China.
Xiang JingDepartment of Ultrasound, Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo accurately predict the survival rate of patients with hepatocellular carcinoma (HCC) undergoing thermal ablation using nomograms taking early recurrence into account as a risk factor.

methodsA total of 591 patients receiving percutaneous thermal ablation were included in this study. The overall survival (OS) and recurrence-free survival (RFS) rate was analyzed. Two prognostic nomograms with or without taking early recurrence into account as a risk factor were constructed using the independent predictors assessed by the multivariate Cox proportional hazard model. The performance of the nomograms, in terms of discrimination and calibration, was evaluated.

resultsThe cumulative RFS and OS rates at 1-, 3- and 5-year are 82.2%, 52.5%and 38.4%, 96.6%, 83.6% and 65.5%, respectively. Multivariate analysis without considering the early recurrence shows that tumor number, α-fetoprotein (AFP) level, liver function, and GGT level are associated with OS. The early recurrence, tumor number, AFP level, and liver function are considered associated with the OS when considering early recurrence. Two different nomograms were developed from the above two results. Internal validation with 1,000 bootstrapped sample sets of the two nomograms shows the concordance indexes of 0.69 (95% CI: 0.624-0.748) for the baseline nomogram and 0.81 (95% CI: 0.754-0.857) for the early recurrence-based nomogram, with the latter significantly better in discriminating performance (Z statistics =92.19, P<0.0001).

conclusionsThe survival rate of patients with HCC undergoing radical thermal ablation can be reliably predicted by the nomogram presented in this study, which was developed by taking early recurrence into account.

Indexed as

early recurrencehepatocellular carcinoma (HCC)Nomogramssurvival rate predictionthermal ablation

Identifiers

PMID33241008
PMCPMC7576088

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