Evidence map›Paper›PMID 34786384›Full record

ArticleWorld journal of clinical cases2021

Development and validation of a prognostic nomogram model for Chinese patients with primary small cell carcinoma of the esophagus.

Dong-Yun Zhang, Gai-Rong Huang, Jian-Wei Ku, Xue-Ke Zhao, Xin Song, Rui-Hua Xu, Wen-Li Han, Fu-You Zhou, Ran Wang, Meng-Xia Wei and 1 more

Abstract read
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Article in World journal of clinical cases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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0cells of the map it votes in
9citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Dong-Yun ZhangDepartment of Pathology, Nanyang Medical College, Nanyang 473061, Henan Province, China.
Gai-Rong HuangDepartment of Geriatrics, Henan People's Hospital, Zhengzhou 450003, Henan Province, China.
Jian-Wei KuDepartment of Endoscopy of The Third Affiliated Hospital, Nanyang Medical College, Nanyang 473061, Henan Province, China.
Xue-Ke ZhaoState Key Laboratory of Esophageal Cancer Prevention and Treatment and Henan Key Laboratory for Esophageal Cancer Research of The First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, Henan Province, China.
Xin SongState Key Laboratory of Esophageal Cancer Prevention and Treatment and Henan Key Laboratory for Esophageal Cancer Research of The First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, Henan Province, China.
Rui-Hua XuState Key Laboratory of Esophageal Cancer Prevention and Treatment and Henan Key Laboratory for Esophageal Cancer Research of The First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, Henan Province, China.
Wen-Li HanState Key Laboratory of Esophageal Cancer Prevention and Treatment and Henan Key Laboratory for Esophageal Cancer Research of The First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, Henan Province, China.
Fu-You ZhouDepartment of Thoracic Surgery, Anyang Tumor Hospital, Anyang 455000, Henan Province, China.
Ran WangState Key Laboratory of Esophageal Cancer Prevention and Treatment and Henan Key Laboratory for Esophageal Cancer Research of The First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, Henan Province, China.
Meng-Xia WeiState Key Laboratory of Esophageal Cancer Prevention and Treatment and Henan Key Laboratory for Esophageal Cancer Research of The First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, Henan Province, China.
Li-Dong WangState Key Laboratory of Esophageal Cancer Prevention and Treatment and Henan Key Laboratory for Esophageal Cancer Research of The First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, Henan Province, China. ldwangpaper2018@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrimary small cell carcinoma of the esophagus (PSCE) is a highly invasive malignant tumor with a poor prognosis compared with esophageal squamous cell carcinoma. Due to the limited samples size and the short follow-up time, there are few reports on elucidating the prognosis of PSCE, especially on the establishment and validation of a survival prediction nomogram model covering general information, pathological factors and specific biological proteins of PSCE patients.

aimTo establish an effective nomogram to predict the overall survival (OS) probability for PSCE patients in China.

methodsThe nomogram was based on a retrospective study of 256 PSCE patients. Univariate analysis and multivariate Cox proportional hazards regression analysis were used to examine the prognostic factors associated with PSCE, and establish the model for predicting 1-, 3-, and 5-year OS based on the Akaike information criterion. Discrimination and validation were assessed by the concordance index (C-index) and calibration curve and decision curve analysis (DCA). Histology type, age, tumor invasion depth, lymph node invasion, detectable metastasis, chromogranin A, and neuronal cell adhesion molecule 56 were integrated into the model.

resultsThe C-index was prognostically superior to the 7

conclusionOur nomogram can be used to predict the survival probability of PSCE patients, which can help clinicians to make individualized survival predictions.

Indexed as

Decision curve analysisEsophagusNomogramPrimary small cell carcinomaPrognosis

Identifiers

PMID34786384
PMCPMC8567530

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