Evidence map›Paper›PMID 41561745›Full record

ArticleFrontiers in oncology2025

Association between the red cell distribution width-to-albumin ratio and recurrence-free survival and overall survival in patients with non-muscle-invasive bladder cancer: a retrospective cohort study.

Feifan Song, Shiqiang Su, Xueqiao Zhang, Yunpeng Cao, Xiongjie Cui, Lili Zhang, Chao Li, Shen Li

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Article in Frontiers in oncology, 2025. 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Feifan Song *Department of Urology, Shijiazhuang People's Hospital, Shijiazhuang, China.
Shiqiang Su *Department of Urology, Shijiazhuang People's Hospital, Shijiazhuang, China.
Xueqiao ZhangDepartment of Urology, Shijiazhuang People's Hospital, Shijiazhuang, China.
Yunpeng CaoDepartment of Urology, Shijiazhuang People's Hospital, Shijiazhuang, China.
Xiongjie CuiDepartment of Urology, Shijiazhuang People's Hospital, Shijiazhuang, China.
Lili ZhangDepartment of Urology, Shijiazhuang People's Hospital, Shijiazhuang, China.
Chao LiDepartment of Urology, Shijiazhuang People's Hospital, Shijiazhuang, China.
Shen LiDepartment of Urology, Shijiazhuang People's Hospital, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The prognostic utility of the red cell distribution width-to-albumin ratio (RAR) in non-muscle-invasive bladder cancer (NMIBC) has not been established. This study aimed to evaluate the associations between preoperative RAR and both recurrence-free survival (RFS) and overall survival (OS) in patients with NMIBC. Methods: A retrospective review was performed for 240 individuals with NMIBC having undergone transurethral resection of bladder tumor (TURBT) at Shijiazhuang People's Hospital from November 2013 to January 2024. Demographic characteristics, hematological parameters, pathological data, and information on instillation therapy were collected. The optimal RAR cutoff was identified by applying receiver operating characteristic (ROC) analysis. Survival curves were generated via the Kaplan-Meier method. The relationships of RAR with both RFS and OS were examined using univariate and multivariate Cox proportional hazards regression models. A nomogram was created using the identified independent prognostic factors from multivariate analysis to predict RFS. The discriminative ability and clinical usefulness of the nomogram were assessed by the concordance index (C-index), the calibration plots, time-dependent ROC analysis, and decision curve analysis (DCA). Results: Patients with higher preoperative RAR showed significantly poorer RFS and OS. Multivariate analysis identified high RAR as an independent prognostic factor for both RFS (HR: 1.731, 95% CI: 1.012 - 2.959) and OS (HR: 3.425, 95% CI: 1.196 - 9.806) in NMIBC patients. Based on these findings, RAR was incorporated into a nomogram model for predicting RFS. Compared to the baseline model without RAR, the new model exhibited an improved C-index (from 0.704 to 0.728). The calibration plots demonstrated excellent consistency of the nomogram-predicted probabilities for 1-, 3-, and 5-year RFS with the actual survival rates. The time-dependent ROC analysis revealed that the areas under the curve (AUC) values for RFS predictions at 1-, 3-, and 5- years were 0.806, 0.797 and 0.806. DCA validated that the nomogram yielded a superior net benefit within threshold probability ranges of 10% to 45% when compared to traditional staging systems. Conclusions: The findings suggest that preoperative RAR serves as a novel and independent prognostic factor for predicting RFS and OS in NMIBC cases.

Indexed as

albuminnon-muscle-invasive bladder canceroverall survivalrecurrence-free survivalred cell distribution width

Identifiers

PMID41561745
PMCPMC12812645

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.