Evidence map›Paper›PMID 34540664›Full record

ArticleFrontiers in oncology2021

Two-Trait Predictor of Venous Invasion on Contrast-Enhanced CT as a Preoperative Predictor of Outcomes for Early-Stage Hepatocellular Carcinoma After Hepatectomy.

Xinming Li, Xuchang Zhang, Zhipeng Li, Chuanmiao Xie, Shuping Qin, Meng Yan, Qiying Ke, Xuan Jin, Ting Lin, Muyao Zhou and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. 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
0.8field-weighted citation impact, top 27% of its field
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, 8 citations in OpenAlex.

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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

14 authors at 3 institutions in 1 country.

Xinming LiDepartment of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Xuchang ZhangDepartment of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Zhipeng LiDepartment of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Chuanmiao XieDepartment of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Shuping QinDepartment of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Meng YanDepartment of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Qiying KeDepartment of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Xuan JinDepartment of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Ting LinDepartment of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Muyao ZhouDepartment of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Wen LiangDepartment of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Zhendong QiDepartment of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Zhijun GengDepartment of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xianyue QuanDepartment of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Southern Medical University · CNZhujiang Hospital · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to assess the effectiveness of the two-trait predictor of venous invasion (TTPVI) on contrast-enhanced computed tomography (CECT) for the preoperative prediction of clinical outcomes in patients with early-stage hepatocellular carcinoma (HCC) after hepatectomy.

methodsThis retrospective study included 280 patients with surgically resected HCC who underwent preoperative CECT between 2012 and 2013. CT imaging features of HCC were assessed, and univariate and multivariate Cox regression analyses were used to evaluate the CT features associated with disease-free survival (DFS) and overall survival (OS). Subgroup analyses were used to summarized the hazard ratios (HRs) between patients in whom TTPVI was present and those in whom TTPVI was absent using a forest plot.

resultsCapsule appearance [HR, 0.504; 95% confidence interval (CI), 0.341-0.745; p < 0.001], TTPVI (HR, 1.842; 95% CI, 1.319-2.572; p < 0.001) and high level of alanine aminotransferase (HR, 1.620; 95% CI, 1.180-2.225, p = 0.003) were independent risk factors for DFS, and TTPVI (HR, 2.509; 95% CI, 1.518-4.147; p < 0.001), high level of alpha-fetoprotein (HR, 1.722; 95% CI, 1.067-2.788; p = 0.026), and gamma-glutamyl transpeptidase (HR, 1.787; 95% CI, 1.134-2.814; p = 0.026) were independent risk factors for OS. A forest plot revealed that the TTPVI present group had lower DFS and OS rates in most subgroups. Patients in whom TTPVI was present in stages I and II had a lower DFS and OS than those in whom TTPVI was absent. Moreover, there were significant differences in DFS (p < 0.001) and OS (p < 0.001) between patients classified as Barcelona Clinic Liver Cancer stage A in whom TTPVI was absent and in whom TTPVI was present.

conclusionsTTPVI may be used as a preoperative biomarker for predicting postoperative outcomes for patients with early-stage HCC.

Indexed as

biomarkershepatectomyhepatocellular carcinomaprognosistomographytwo-trait predictor of venous invasionx-ray computed

Identifiers

PMID34540664
PMCPMC8442625
OpenAlexW3198483869

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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.