Evidence map›Paper›PMID 32879626›Full record

ArticleGastroenterology research and practice2020

Tumor Size as a Critical Prognostic Factor in T1-2 Stage Esophageal Cancer.

Zilong Wu, Bentong Yu

Abstract read
In one paragraph

Article in Gastroenterology research and practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Zilong WuDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.ORCID https://orcid.org/0000-0003-0367-8469
Bentong YuDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.ORCID https://orcid.org/0000-0001-6396-1931

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor size has been measured in esophageal cancer for decades, but the role of tumor size in relation to T stage in the prediction of survival is still underappreciated. Thus, the present study is aimed at investigating the influence of T stage on the predictive value of tumor size in clinical stage I-IV esophageal cancer patients. MATERIALS AND

methodsData were obtained from the Surveillance, Epidemiology, and End Results Program (SEER) cancer registry program. Cox proportional hazards regression was utilized to identify the independent prognostic ability of the factor. Kaplan-Meier analysis was used to estimate the distribution of survival outcome. Harrell's concordance index (c-index) was used to quantify the predictive ability of the prognostic model and prognostic factor.

resultsAccording to the T stage, subgroup analysis showed that tumor size was not an independent risk factor in T3 and T4 stage esophageal cancer patients. Furthermore, the predictive power of tumor size was negatively impacted by the increase in T stage. Furthermore, the discriminative ability of the Cox model based on the tumor-node-metastasis (TNM) system with tumor size outperformed the model based on the TNM system only.

conclusionThe current study identified tumor size as a critical clinical prognostic signature for esophageal cancer with considerable discriminatory ability and prognostic value. Therefore, tumor size should be included in the American Joint Committee on Cancer (AJCC) TNM staging of T1-2 esophagus cancer patients.

Identifiers

PMID32879626
PMCPMC7448111

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