Literature DB >> 24377526

Stratifying patients with haematuria into high or low risk groups for bladder cancer: a novel clinical scoring system.

Tan Guan Hee1, Shamsul Azhar Shah, Ho Sue Ann, Siti Nurhafizah Hemdan, Lim Chun Shen, Nurudin Al-Fahmi Abdul Galib, Praveen Singam, Christopher Ho Chee Kong, Goh Eng Hong, Badrulhisham Bahadzor, Zulkifli Md Zainuddin.   

Abstract

Haematuria is a common presentation of bladder cancer and requires a full urologic evaluation. This study aimed to develop a scoring system capable of stratifying patients with haematuria into high or low risk groups for having bladder cancer to help clinicians decide which patients need more urgent assessment. This cross- sectional study included all adult patients referred for haematuria and subsequently undergoing full urological evaluation in the years 2001 to 2011. Risk factors with strong association with bladder cancer in the study population were used to design the scoring system. Accuracy was determined by the area under the receiver operating characteristic (ROC) curve. A total of 325 patients with haematuria were included, out of which 70 (21.5%) were diagnosed to have bladder cancer. Significant risk factors associated with bladder cancer were male gender, a history of cigarette smoking and the presence of gross haematuria. A scoring system using 4 clinical parameters as variables was created. The scores ranged between 6 to 14, and a score of 10 and above indicated high risk for having bladder cancer. It was found to have good accuracy with an area under the ROC curve of 80.4%, while the sensitivity and specificity were 90.0% and 55.7%, respectively. The scoring system designed in this study has the potential to help clinicians stratify patients who present with haematuria into high or low risk for having bladder cancer. This will enable high-risk patients to undergo urologic assessment earlier.

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Year:  2013        PMID: 24377526     DOI: 10.7314/apjcp.2013.14.11.6327

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  3 in total

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Authors:  Sharon Waisbrod; Anastasios Natsos; Marian Severin Wettstein; Karim Saba; Thomas Hermanns; Christian Daniel Fankhauser; Alexander Müller
Journal:  JAMA Netw Open       Date:  2021-05-03

2.  A segregation index combining phenotypic (clinical characteristics) and genotypic (gene expression) biomarkers from a urine sample to triage out patients presenting with hematuria who have a low probability of urothelial carcinoma.

Authors:  Laimonis Kavalieris; Paul J O'Sullivan; James M Suttie; Brent K Pownall; Peter J Gilling; Christophe Chemasle; David G Darling
Journal:  BMC Urol       Date:  2015-03-27       Impact factor: 2.264

3.  Risk prediction models for symptomatic patients with bladder and kidney cancer: a systematic review.

Authors:  Hannah Harrison; Juliet A Usher-Smith; Lanxin Li; Lydia Roberts; Zhiyuan Lin; Rachel E Thompson; Sabrina H Rossi; Grant D Stewart; Fiona M Walter; Simon Griffin; Yin Zhou
Journal:  Br J Gen Pract       Date:  2021-12-31       Impact factor: 5.386

  3 in total

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