Evidence map›Paper›PMID 35186736›Full record

ArticleFrontiers in oncology2022

Development and Validation of a Prognostic Nomogram for Predicting Cancer-Specific Survival in Patients With Lymph Node Positive Bladder Cancer: A Study Based on SEER Database.

Xiangpeng Zhan, Ming Jiang, Wen Deng, Xiaoqiang Liu, Luyao Chen, Bin Fu

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Article in Frontiers in oncology, 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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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

6 authors.

Xiangpeng ZhanDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Ming JiangDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Wen DengDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Xiaoqiang LiuDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Luyao ChenDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Bin FuDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo construct a prognostic model to predict the cancer-specific survival (CSS) for bladder cancer patients with lymph node-positive. PATIENTS AND

methodsWe enrolled 2,050 patients diagnosed with lymph node-positive bladder cancer from the Surveillance Epidemiology and End Results (SEER) database (2004-2015). All patients were randomly split into development cohort (n = 1,438) and validation cohort (n = 612) at a ratio of 7:3. The univariate and multivariate Cox regression analysis were performed to identify prognostic factors. A nomogram predicting CSS was established based on the results of multivariate Cox analysis. Its performance was evaluated by calibration curves, the receiver operating characteristic (ROC) curves, and the concordance index (C-index). Internal verification was performed in the validation cohort. The Kaplan-Meier method with the log-rank test was applied in the different risk groups.

resultsThe nomogram incorporated summary stage, tumor size, chemotherapy, regional nodes examined and positive lymph nodes. The C-index of the nomogram in the development cohort was 0.716 (0.707-0.725), while the value of the C-index was 0.691 (0.689-0.693) in the validation cohort. The AUC of the nomogram was 0.803 for 3-year and 0.854 for 5-year in the development cohort, while was 0.773 for 3-year and 0.809 for 5-year in the validation cohort. Calibration plots for 3-year and 5-year CSS showed good concordance. Significant differences were observed between high, medium, and low risk groups (

conclusionsWe have established a prognostic nomogram providing an accurate individualized probability of cancer-specific survival in bladder cancer patients with lymph node-positive. The nomogram could contribute to patient counseling, follow-up scheduling, and selection of treatment.

Indexed as

bladder cancerlymph node-positivenomogramprognosisSEER

Identifiers

PMID35186736
PMCPMC8851926

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