Evidence map›Paper›PMID 33859298›Full record

ArticleScientific reports2021

A clinical scoring system for predicting tumor recurrence after percutaneous radiofrequency ablation for 3 cm or less hepatocellular carcinoma.

Yong Zhu He, Kun He, Rui Qin Huang, Li Wen Liu, Shao Wei Ye, Jun Lin Qian, Peng Peng, Qi Jie Luo, Ze Liang Wang, Ze Min Hu

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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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

15 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

10 authors.

Yong Zhu He *Department of Hepatobiliary Surgery, Zhongshan Hospital Affiliated to Sun Yat-Sen University, Zhongshan City, 528400, Guangdong Province, China.
Kun He *Department of Hepatobiliary Surgery, Zhongshan Hospital Affiliated to Sun Yat-Sen University, Zhongshan City, 528400, Guangdong Province, China.
Rui Qin Huang *Department of Hepatobiliary Surgery, Zhongshan Hospital Affiliated to Sun Yat-Sen University, Zhongshan City, 528400, Guangdong Province, China.
Li Wen LiuDepartment of Hepatobiliary Surgery, Zhongshan Hospital Affiliated to Sun Yat-Sen University, Zhongshan City, 528400, Guangdong Province, China.
Shao Wei YeDepartment of Hepatobiliary Surgery, Zhongshan Hospital Affiliated to Sun Yat-Sen University, Zhongshan City, 528400, Guangdong Province, China.
Jun Lin QianDepartment of Hepatobiliary Surgery, Zhongshan Hospital Affiliated to Sun Yat-Sen University, Zhongshan City, 528400, Guangdong Province, China.
Peng PengDepartment of Hepatobiliary Surgery, Zhongshan Hospital Affiliated to Sun Yat-Sen University, Zhongshan City, 528400, Guangdong Province, China.
Qi Jie LuoDepartment of Hepatobiliary Surgery, Zhongshan Hospital Affiliated to Sun Yat-Sen University, Zhongshan City, 528400, Guangdong Province, China.
Ze Liang WangDepartment of Hepatobiliary Surgery, Zhongshan Hospital Affiliated to Sun Yat-Sen University, Zhongshan City, 528400, Guangdong Province, China.
Ze Min HuDepartment of Hepatobiliary Surgery, Zhongshan Hospital Affiliated to Sun Yat-Sen University, Zhongshan City, 528400, Guangdong Province, China. hzm13823933118@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preoperative prediction of tumor recurrence after radiofrequency ablation (RFA) in patients with early hepatocellular carcinoma (HCC) is helpful for clinical decision-making before treatment. A total of 162 patients with HCC of 3 cm or less who were completely ablated by percutaneous RFA were divided into a derivation cohort (n = 108) and a validation cohort (n = 54). Based on X-Tiles software, Kaplan-Meier curve analysis and COX multivariate analysis to obtain valuable predictive indicators, a clinical scoring system for predicting tumor recurrence was established. In the verall cohort, derivation cohort and validation cohort, we found circulating tumor cells (CTC) > 2/3.2 mL, alpha-fetoprotein (AFP) > 20 ng/mL, and des-γ-carboxyprothrombin (DCP) > 40 mAU/mL, maximum tumor diameter > 20 mm, and the number of multiple tumors (≥ 2) are independent risk factors affecting tumor recurrence. Each independent risk factor was assigned a score of 1 to construct a predictive clinical scoring system, and X-Tiles software was used to divide the clinical score into a low-risk group (0 score-1 score), a medium-risk group (2 scores-3 scores), and a high-risk group (4 scores-5 scores). The cumulative tumor recurrence rates of patients in the low-risk group, middle-risk group, and high-risk group in 1 year, 2 years, and 3 years were 19.4%/27.5%/30.9%, 37.0%/63.2%/79.9% and 68.2%/100%/100%, respectively (Low-risk group vs medium-risk group: P < 0.001; medium-risk group vs high-risk group: P < 0.001). This clinical scoring system can predict the prognosis of patients with HCC of 3 cm or smaller undergoing percutaneous RFA, which has certain application value for making preoperative clinical decisions.

Indexed as

Neoplasm Recurrence, LocalResearch DesignAdultAgedCarcinoma, HepatocellularFemaleHumansLiver NeoplasmsMaleMiddle AgedPredictive Value of TestsPrognosisRadiofrequency AblationRetrospective StudiesRisk FactorsTime Factors

Identifiers

PMID33859298
PMCPMC8050297

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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.