Evidence map›Paper›PMID 36732873›Full record

ArticleEuropean journal of medical research2023

A model for predicting overall survival in bladder cancer patients with signet ring cell carcinoma: a population-based study.

Liang Liu, Chuangui Li, Qiang Wang, Haibo Yuan, Yuanyuan Wang

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Article in European journal of medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 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.

Liang Liu *Department of Urology, Prostate & Andrology Key Laboratory of Baoding, Baoding No. 1 Central Hospital, No. 320 Changcheng North Street, Lianchi District, Baoding, 071000, Hebei, China. mnwkll@163.com.
Chuangui Li *Department of Urology, Prostate & Andrology Key Laboratory of Baoding, Baoding No. 1 Central Hospital, No. 320 Changcheng North Street, Lianchi District, Baoding, 071000, Hebei, China.
Qiang WangDepartment of Urology, Prostate & Andrology Key Laboratory of Baoding, Baoding No. 1 Central Hospital, No. 320 Changcheng North Street, Lianchi District, Baoding, 071000, Hebei, China. 18031296066@163.com.
Haibo YuanDepartment of Urology, Prostate & Andrology Key Laboratory of Baoding, Baoding No. 1 Central Hospital, No. 320 Changcheng North Street, Lianchi District, Baoding, 071000, Hebei, China.
Yuanyuan WangDepartment of Urology, Prostate & Andrology Key Laboratory of Baoding, Baoding No. 1 Central Hospital, No. 320 Changcheng North Street, Lianchi District, Baoding, 071000, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study is to examine the predictors of survival and to construct a nomogram for predicting the overall survival (OS) of primary bladder signet ring cell carcinoma (SRCC) patients based on the analysis of the Surveillance, Epidemiology, and End Results (SEER) database.

methodsA total of 219 eligible patients diagnosed with SRCC were analyzed using the 2004-2015 data from SEER database. Univariate and multivariate Cox regression were used to determine independent prognostic factors, followed by development of a nomogram based on the multivariate Cox regression models. The consistency index (C-index), receiver operating characteristic (ROC) curve, and calibration curve were used to validate the prognostic nomogram.

resultsThe nomograms indicated appreciable accuracy in predicting the OS, with C-index of 0.771 and 0.715, respectively. The area under the curve (AUC) of the nomogram was 0.713 for 1 year, 0.742 for 3 years, and 0.776 for 5 years in the training set, while was 0.730 for 1 year, 0.727 for 3 years, and 0.697 for 5 years in the validation set. The calibration curves revealed satisfactory consistency between the prediction of deviation correction and ideal reference line.

conclusionsThe prognostic nomogram developed in the analytical data of SEER it provided high accuracy and reliability in predicting the survival outcomes of primary bladder SRCC patients and could be used to comprehensively assess the risk of SRCC. Moreover, they could enable clinicians to make more precise treatment decisions for primary bladder SRCC patients.

Indexed as

Carcinoma, Signet Ring CellUrinary Bladder NeoplasmsArea Under CurveHumansNeoplasm StagingNomogramsPrognosisReproducibility of ResultsNomogramOSSEERSignet ring cell carcinomaUrinary bladder neoplasms

Identifiers

PMID36732873
PMCPMC9893594

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