Evidence map›Paper›PMID 36109828›Full record

ArticleEuropean journal of medical research2022

Analysis of prognostic factors of undifferentiated pleomorphic sarcoma and construction and validation of a prediction nomogram based on SEER database.

Zimao Wang, Jinhua Liu, Jingjing Han, Zheng Yang, Qiying Wang

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Article in European journal of medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

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11citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zimao WangDepartment of Plastic Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Jinhua Liu *Department of Plastic Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Jingjing Han *Department of Plastic Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Zheng YangDepartment of Plastic Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Qiying WangDepartment of Plastic Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China. wangqiying@zzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUndifferentiated pleomorphic sarcoma (UPS) is considered one of the most common types of soft tissue sarcoma (STS). Current studies have shown that the prognosis of UPS is related to some of its clinical characteristics, but no survival prediction model for the overall survival (OS) of UPS patients has been reported. The purpose of this study is to construct and validate a nomogram for predicting OS in UPS patients at 3, 5 years after the diagnosis.

methodsAccording to the inclusion and exclusion criteria, 1079 patients with UPS were screened from the SEER database and randomly divided into the training cohort (n = 755) and the validation cohort (n = 324). Patient demographic and clinicopathological characteristics were first described, and the correlation between the two groups was compared, using the Kaplan-Meier method and Cox regression analysis to determine independent prognostic factors. Based on the identified independent prognostic factors, a nomogram for OS in UPS patients was established using R language. The nomogram's performance was then validated using multiple indicators, including the area under the receiver operating characteristic curve (AUC), consistency index (C-index), calibration curve, and decision curve analysis (DCA).

resultsBoth the C-index of the OS nomogram in the training cohort and the validation cohort were greater than 0 .75, and both the values of AUC were greater than 0.78. These four values were higher than their corresponding values in the TNM staging system, respectively. The calibration curves of the Nomogram prediction model and the TNM staging system were well fitted with the 45° line. Decision curve analysis showed that both the nomogram model and the TNM staging system had clinical net benefits over a wide range of threshold probabilities, and the nomogram had higher clinical net benefits than the TNM staging system as a whole.

conclusionWith good discrimination, accuracy, and clinical practicability, the nomogram can individualize the prediction of 3-year and 5-year OS in patients with UPS, which can provide a reference for clinicians and patients to make better clinical decisions.

Indexed as

NomogramsSarcomaCohort StudiesHumansNeoplasm StagingPrognosisNomogramSEER databaseSurvivalUndifferentiated pleomorphic sarcoma

Identifiers

PMID36109828
PMCPMC9479354

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