Evidence map›Paper›PMID 30430769›Full record

ArticleCancer medicine2018

The power of tumor sizes in predicting the survival of solitary hepatocellular carcinoma patients.

Anli Yang, Weikai Xiao, Dong Chen, Xiaoli Wei, Shanzhou Huang, Ye Lin, Chuanzhao Zhang, Jianwei Lin, Feiwen Deng, Chenglin Wu and 1 more

Abstract read
In one paragraph

Article in Cancer medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Impact of Socioeconomic Factors on Prognosis and Clinical Management in Patients with Hepatocellular Carcinoma.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2021
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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

11 authors.

Anli YangDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.ORCID 0000-0003-0966-7285
Weikai XiaoDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.ORCID 0000-0001-6283-5941
Dong ChenDepartment of Pancreatobiliary Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xiaoli WeiDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Shanzhou HuangOrgan Transplant Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Ye LinDepartment of General Surgery, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Chuanzhao ZhangDepartment of General Surgery, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Jianwei LinOrgan Transplant Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Feiwen DengOrgan Transplant Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Chenglin WuOrgan Transplant Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xiaoshun HeOrgan Transplant Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVascular invasion, rather than tumor size, was applied into the 7th edition of the AJCC TNM staging system to predict survival of solitary hepatocellular carcinoma (HCC) patients. However, does this mean tumor size is of little value in prognostic prediction? The current study was designed to explore the prognostic ability of tumor sizes in solitary HCC.

methodsA total of 18 591 patients with solitary HCC categorized as T1 and T2 were retrieved from the Surveillance Epidemiology and End Results (SEER) database. The Cox proportional hazards regression model was adopted to evaluate the impact of tumor sizes on overall survival (OS) and disease-specific survival (DSS) in general and in subgroups stratified by vascular invasion and surgery type.

resultsLarge tumor sizes (>39 mm) were associated with unfavorable clinicopathologic characteristics. Compared with tumors ≤30 mm, tumors between 31-50 mm and tumors >50 mm showed significantly worse OS and DSS in general using multivariate analysis (all P < 0.001). In subgroup analyses, for patients without vascular invasion, tumor size was a notable prognostic indicator for OS in the radiofrequency ablation group (P < 0.001), rather than in the liver resection or transplantation group. Nevertheless, for patients with vascular invasion, tumor sizes exhibited a notable impact on OS in the liver resection and transplantation group.

conclusionsThe AJCC TNM staging system for solitary HCC would be more comprehensive if tumor sizes were integrated into the T2 classification. Additionally, for T1 patients, tumor sizes play no role in the choice between resection and transplantation.

Indexed as

Carcinoma, HepatocellularFemaleHumansLiver NeoplasmsMaleMiddle AgedNeoplasm StagingNeovascularization, PathologicPrognosisSEER ProgramSurvival AnalysisTumor Burdenliver resectionliver transplantationprognosisradiofrequency ablationsolitary hepatocellular carcinomatumor sizes

Identifiers

PMID30430769
PMCPMC6308097

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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.