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Nomograms including UBC® Rapid Test to detect primary bladder cancer based on a multicenter data set

Authors :
Meisl, Christina J.
Karakiewicz, Pierre I.
Einarsson, Roland
Koch, Stefan
Hallmann, Steffen
Weiß, Sarah
Hemdan, Tammer
Malmström, Per-Uno
Styrke, Johan
Sherif, Amir
Hasan, Mudhar N.
Pichler, Renate
Tulchiner, Gennadi
Palou, Joan
Rodríguez Faba, Óscar
Hennenlotter, Jörg
Stenzl, Arnulf
Ritter, René
Niegisch, Günter
Grunewald, Camilla M.
Schlomm, Thorsten
Friedersdorff, Frank
Barski, Dimitri
Otto, Thomas
Gössl, Andreas
Arndt, Christian
Esuvaranathan, Kesavan
Kesavan, Nisha R.
Zhijiang, Zang
Kramer, Mario W.
Hennig, Martin J. P.
Ecke, Thorsten H.
Meisl, Christina J.
Karakiewicz, Pierre I.
Einarsson, Roland
Koch, Stefan
Hallmann, Steffen
Weiß, Sarah
Hemdan, Tammer
Malmström, Per-Uno
Styrke, Johan
Sherif, Amir
Hasan, Mudhar N.
Pichler, Renate
Tulchiner, Gennadi
Palou, Joan
Rodríguez Faba, Óscar
Hennenlotter, Jörg
Stenzl, Arnulf
Ritter, René
Niegisch, Günter
Grunewald, Camilla M.
Schlomm, Thorsten
Friedersdorff, Frank
Barski, Dimitri
Otto, Thomas
Gössl, Andreas
Arndt, Christian
Esuvaranathan, Kesavan
Kesavan, Nisha R.
Zhijiang, Zang
Kramer, Mario W.
Hennig, Martin J. P.
Ecke, Thorsten H.
Publication Year :
2022

Abstract

Objectives: To evaluate the clinical utility of the urinary bladder cancer antigen UBC® Rapid Test for the diagnosis of bladder cancer (BC) and to develop and validate nomograms to identify patients at high-risk of primary BC. Patients and methods: Data from 1,787 patients from 13 participating centers tested between 2012 and 2020, including 763 patients with BC, were analyzed. Urine samples were analyzed with the UBC® Rapid Test. The nomograms were developed using data from 320 patients and externally validated using data from 274 patients. The diagnostic accuracy of the UBC® Rapid Test was evaluated using receiver operating characteristics analysis. Brier scores and calibration curves were chosen for validation. Biopsy-proven BC was predicted using multivariate logistic regression. Results: The sensitivity, specificity, and area under the curve for the UBC® Rapid Test were 46.4%, 75.5%, and 0.61 (95% CI: 0.58–0.64) for low-grade (LG-) BC, and 70.5%, 75.5%, and 0.73 (95% CI: 0.70–0.76) for high-grade (HG-) BC, respectively. Age, UBC® Rapid Test results, smoking status, and hematuria were identified as independent predictors of primary BC. After external validation, nomograms based on these predictors resulted in an area under the curve of 0.79 (95% CI: 0.72–0.87) and 0.95 (95% CI: 0.92–0.98) in predicting LG-BC and HG-BC, respectively, showing excellent calibration associated with a higher net benefit than the UBC® Rapid Test alone for low and medium risk levels in decision curve analysis. An R Shiny app allows the results to be explored interactively and can be accessed at www.blucab-index.net. Conclusion: The UBC® Rapid Test alone has limited clinical utility for predicting the presence of BC. However, its combined use with BC risk factors including age, smoking status, and hematuria provides a fast, highly accurate, and non-invasive tool for screening patients for primary LG-BC and especially primary HG-BC.

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1306164632
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1111.bju.15677