2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Survival nomogram for high-grade bladder cancer patients after surgery based on the SEER database and external validation cohort

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The aim of this study was to develop a comprehensive and effective nomogram for predicting overall survival (OS) rates in postoperative patients with high-grade bladder urothelial carcinoma.

          Methods

          Patients diagnosed with high-grade urothelial carcinoma of the bladder after radical cystectomy (RC) 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 the internal validation cohort. Two hundred eighteen patients from the First Affiliated Hospital of Nanchang University were collected as the external validation cohort. Univariate and multivariate Cox regression analyses were carried out to seek prognostic factors of postoperative patients with high-grade bladder cancer (HGBC). According to these significant prognostic factors, a simple-to-use nomogram was established for predicting OS. Their performances were evaluated using the concordance index (C-index), the receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA).

          Results

          The study included 4,541 patients. Multivariate Cox regression analysis demonstrated that T stage, positive lymph nodes (PLNs), age, chemotherapy, regional lymph nodes examined (RLNE), and tumor size were correlated with OS. The C-index of the nomogram in the training cohort, internal validation cohort, and external validation cohort were 0.700, 0.717, and 0.681, respectively. In the training, internal validation, and external validation cohorts, the ROC curves showed that the 1-, 3-, and 5-year areas under the curve (AUCs) were higher than 0.700, indicating that the nomogram had good reliability and accuracy. The results of calibration and DCA showed good concordance and clinical applicability.

          Conclusion

          A nomogram was developed for the first time to predict personalized 1-, 3-, and 5-year OS in HGBC patients after RC. The internal and external validation confirmed the excellent discrimination and calibration ability of the nomogram. The nomogram can help clinicians design personalized treatment strategies and assist with clinical decisions.

          Related collections

          Most cited references40

          • Record: found
          • Abstract: found
          • Article: not found

          Nomograms in oncology: more than meets the eye.

          Nomograms are widely used as prognostic devices in oncology and medicine. With the ability to generate an individual probability of a clinical event by integrating diverse prognostic and determinant variables, nomograms meet our desire for biologically and clinically integrated models and fulfill our drive towards personalised medicine. Rapid computation through user-friendly digital interfaces, together with increased accuracy, and more easily understood prognoses compared with conventional staging, allow for seamless incorporation of nomogram-derived prognosis to aid clinical decision making. This has led to the appearance of many nomograms on the internet and in medical journals, and an increase in nomogram use by patients and physicians alike. However, the statistical foundations of nomogram construction, their precise interpretation, and evidence supporting their use are generally misunderstood. This issue is leading to an under-appreciation of the inherent uncertainties regarding nomogram use. We provide a systematic, practical approach to evaluating and comprehending nomogram-derived prognoses, with particular emphasis on clarifying common misconceptions and highlighting limitations.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Predicting recurrence and progression in individual patients with stage Ta T1 bladder cancer using EORTC risk tables: a combined analysis of 2596 patients from seven EORTC trials.

            To provide tables that allow urologists to easily calculate a superficial bladder cancer patient's short- and long-term risks of recurrence and progression after transurethral resection. A combined analysis was carried out of individual patient data from 2596 superficial bladder cancer patients included in seven European Organization for Research and Treatment of Cancer trials. A simple scoring system was derived based on six clinical and pathological factors: number of tumors, tumor size, prior recurrence rate, T category, carcinoma in situ, and grade. The probabilities of recurrence and progression at one year ranged from 15% to 61% and from less than 1% to 17%, respectively. At five years, the probabilities of recurrence and progression ranged from 31% to 78% and from less than 1% to 45%. With these probabilities, the urologist can discuss the different options with the patient to determine the most appropriate treatment and frequency of follow-up.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              European Association of Urology Guidelines on Muscle-invasive and Metastatic Bladder Cancer: Summary of the 2020 Guidelines

              This overview presents the updated European Association of Urology (EAU) guidelines for muscle-invasive and metastatic bladder cancer (MMIBC).
                Bookmark

                Author and article information

                Contributors
                Journal
                Front Oncol
                Front Oncol
                Front. Oncol.
                Frontiers in Oncology
                Frontiers Media S.A.
                2234-943X
                16 June 2023
                2023
                : 13
                : 1164401
                Affiliations
                [1] 1 Department of Urology, The First Affiliated Hospital of Nanchang University , Nanchang, China
                [2] 2 Department of Gastroenterology, The First Affiliated Hospital of Nanchang University , Nanchang, China
                Author notes

                Edited by: Nirmish Singla, Johns Hopkins Medicine, United States

                Reviewed by: Chien-Feng Li, National Health Research Institutes, Taiwan; Giuseppe Simone, Hospital Physiotherapy Institutes (IRCCS), Italy; Paola Irene Ornaghi, Integrated University Hospital Verona, Italy

                *Correspondence: Luyao Chen, chenluyao301@ 123456163.com ; Yixing Luo, lyx2009820@ 123456163.com ; Bin Fu, urofbin@ 123456163.com

                †These authors have contributed equally to this work

                Article
                10.3389/fonc.2023.1164401
                10313206
                2509aa9f-5c12-443c-9064-e074dbc778f2
                Copyright © 2023 Li, Chen, Fu, Luo and Chen

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 12 February 2023
                : 02 May 2023
                Page count
                Figures: 5, Tables: 3, Equations: 0, References: 40, Pages: 10, Words: 3677
                Funding
                Funded by: National Natural Science Foundation of China , doi 10.13039/501100001809;
                Award ID: 81560419
                This study were supported by the National Science Foundation of Jiangxi Province (Grant Nos. 20202BAB216006), Research and Cultivation Foundation for Young Teacher of Medical Department of Nanchang University (Grant Nos. PY201913) and Science and Technology Research Project of Education Department of Jiangxi Province (Grant Nos. GJJ170011).
                Categories
                Oncology
                Original Research
                Custom metadata
                Cancer Epidemiology and Prevention

                Oncology & Radiotherapy
                high-grade bladder cancer,seer database,prognosis,nomogram,radical cystectomy

                Comments

                Comment on this article