Evidence map›Paper›PMID 35928878›Full record

ArticleFrontiers in oncology2022

Predictive Value of the Log Odds of Negative Lymph Nodes/T Stage as a Novel Prognostic Factor in Bladder Cancer Patients After Radical Cystectomy.

Tao Chen, Xiangpeng Zhan, Xinpeng Chen, Ming Jiang, Hao Wan, Bin Fu, Luyao Chen

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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 8 papers.

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0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Tao ChenDepartment of Urology, the First Affiliated Hospital of Nanchang University, Nanchang City, China.
Xiangpeng ZhanDepartment of Urology, the First Affiliated Hospital of Nanchang University, Nanchang City, China.
Xinpeng ChenThe First Clinical Medical College of Nanchang University, Nanchang City, China.
Ming JiangDepartment of Urology, the First Affiliated Hospital of Nanchang University, Nanchang City, China.
Hao WanDepartment of Urology, the First Affiliated Hospital of Nanchang University, Nanchang City, China.
Bin FuDepartment of Urology, the First Affiliated Hospital of Nanchang University, Nanchang City, China.
Luyao ChenDepartment of Urology, the First Affiliated Hospital of Nanchang University, Nanchang City, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The effect of lymph node resection on the prognosis of bladder cancer (BLCA) patients receiving radical cystectomy should not be ignored. Our aim was to explore the prognostic value of the log odds of negative lymph nodes/T stage (LONT) and construct a more effective nomogram based on LONT to predict cancer-specific survival (CSS) in postoperative BLCA patients. Methods: Patients diagnosed with BLCA after radical cystectomy between 2004 and 2015 in the Surveillance, Epidemiology, and End Results (SEER) database were enrolled. We randomly split (7:3) these patients into the primary cohort and internal validation cohort. 86 patients from the First Affiliated Hospital of Nanchang University were collected as the external validation set. Univariate and multivariate cox regression analyses were carried out to seek prognostic factors of postoperative BLCA patients. According to these significantly prognostic factors, a simple-to-use nomogram was established for predicting CSS. Their performances were evaluated by using calibration curves, the concordance index (C-index), the receiver operating characteristic (ROC) curves, and decision curve analysis (DCA). In addition, different risk groups were tested by Kaplan-Meier curves and log-rank tests. Result: Whether in cancer-specific survival (CSS) or overall survival (OS), LONT was an independent and significant prognostic factor. Through further screening, the ultimate nomogram of CSS was composed of nine independent prognostic factors including LONT, age, race, tumor size, histologic type, T stage, N stage, summary stage and chemotherapy. The C-index of nomogram in the primary cohort, internal and external validation cohort were 0.734, 0.720 and 0.728, respectively. The AUC of predicting CSS at 3 and 5 years were 0.783 and 0.774 in the primary cohort and 0.781 and 0.781 in the validation cohort. The results of calibration and DCA showed good concordance and clinical applicability. Significant differences (P < 0.05) were displayed in CSS among different risk groups. Conclusion: LONT was regarded as a novel and reliable prognostic factor. Compared with the AJCC staging system, the established nomogram based on LONT can more effectively predict the prognosis of BLCA patients after radical cystectomy.

Indexed as

bladder cancerlog odds of negative lymph nodes/T stagenomogramprognosisSEER

Identifiers

PMID35928878
PMCPMC9343753

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