Evidence map›Paper›PMID 40095506›Full record

ArticleCancer biomarkers : section A of Disease markers2024

A nomogram based on preoperative NLR predicts distant metastasis of urothelial carcinoma of the bladder.

Xingxing Zhang, Bin Zhang, Yang He, Wei Xiong, Yuelin Du, Panfeng Shang

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Article in Cancer biomarkers : section A of Disease markers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Xingxing ZhangDepartment of Urology, Institute of Urology, Gansu Nephro-Urological Clinical Center, Key Laboratory of Urological Diseases in Gansu Province, Lanzhou University Second Hospital, Lanzhou, China.
Bin ZhangDepartment of Urology, Institute of Urology, Gansu Nephro-Urological Clinical Center, Key Laboratory of Urological Diseases in Gansu Province, Lanzhou University Second Hospital, Lanzhou, China.
Yang HeDepartment of Urology, Institute of Urology, Gansu Nephro-Urological Clinical Center, Key Laboratory of Urological Diseases in Gansu Province, Lanzhou University Second Hospital, Lanzhou, China.
Wei XiongDepartment of Urology, Institute of Urology, Gansu Nephro-Urological Clinical Center, Key Laboratory of Urological Diseases in Gansu Province, Lanzhou University Second Hospital, Lanzhou, China.
Yuelin DuDepartment of Urology, Institute of Urology, Gansu Nephro-Urological Clinical Center, Key Laboratory of Urological Diseases in Gansu Province, Lanzhou University Second Hospital, Lanzhou, China.
Panfeng ShangDepartment of Urology, Institute of Urology, Gansu Nephro-Urological Clinical Center, Key Laboratory of Urological Diseases in Gansu Province, Lanzhou University Second Hospital, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundDistant metastasis (DM) remains the most commonly reported cause of death in patients with urothelial carcinoma of the bladder (UCB).ObjectiveWe aimed to develop a robust prognostic model to assess the risk of DM in patients with UCB.MethodsWe collected clinical data of 206 UCB patients treated with RC. Patients treated with RC between 2011-2015 that were enrolled as the training cohort (n = 105), while the patients between 2016-2019 were enrolled as the validation cohort (n = 101). Univariate and multivariate Cox regression models were used to identify independent risk factors associated with DM. We identified the variables by stepwise regression and established nomogram. We evaluated the nomograms using C-index, calibration and ROC curves. Decision curve analysis was performed to compare the net benefits between the nomogram and TNM staging. We divided the patients into high and low risk groups according to the nomogram and compared the DM between the groups.ResultsThe neutrophil-lymphocyte ratio (NLR) was an independent predictor of DM. We established nomogram by T-stage, N-stage and NLR. The C-index of the nomogram was 0.766 and 0.739 respectively in the two cohorts. In the training cohort, AUC for the nomogram at 1, 2 and 3 years was 0.816, 0.812 and 0.812, respectively. In the validation cohort, the AUC for the nomogram at 1, 2 and 3 years was 0.751, 0.757 and 0.716, respectively. The calibration curve was satisfactory. The nomogram has a higher clinical benefit compared to the TNM staging system. Kaplan-Meier curves showed that patients from the high-risk group had a higher probability of DM than patients from the low-risk group.ConclusionsNomograms established by NLR, T-stage and N-stage can accurately predict distant metastases in patients with UCB.

Indexed as

Carcinoma, Transitional CellLymphocytesNeutrophilsNomogramsUrinary Bladder NeoplasmsAgedFemaleHumansMaleMiddle AgedNeoplasm MetastasisNeoplasm StagingPrognosisRisk FactorsROC Curvebladder cancerdistant metastasisNLRnomogramurothelial carcinoma of bladder

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PMID40095506
PMCPMC12312730

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