BACKGROUND: Bladder cancer accounts for over 150,000 deaths worldwide. No screening is available, so diagnosis depends on investigations of symptoms. Of these, only visible haematuria has been studied in primary care. AIM: To identify and quantify the features of bladder cancer in primary care. DESIGN AND SETTING: Case-control study, using electronic medical records from UK primary care. METHOD: Participants were 4915 patients aged ≥40 years, diagnosed with bladder cancer January 2000 to December 2009, and 21,718 age, sex, and practice-matched controls, were selected from the General Practice Research Database, UK. All clinical features independently associated with bladder cancer using conditional logistic regression were identified, and their positive predictive values for bladder cancer, singly and in combination, were estimated. RESULTS: Cases consulted their GP more frequently than controls before diagnosis: median 15 consultations (interquartile range 9-22) versus 8 (4-15): P<0.001. Seven features were independently associated with bladder cancer: visible haematuria, odds ratio 34 (95% confidence interval [CI] = 29 to 41), dysuria 4.1 (95% CI = 3.4 to 5.0), urinary tract infection 2.2 (95% CI = 2.0 to 2.5), raised white blood cell count 2.1 (95% CI = 1.6 to 2.8), abdominal pain 2.0 (95% CI = 1.6 to 2.4), constipation 1.5 (95% CI = 1.2 to 1.9), raised inflammatory markers 1.5 (95% CI = 1.2 to 1.9), and raised creatinine 1.3 (95% CI = 1.2 to 1.4). The positive predictive value for visible haematuria in patients aged ≥60 years was PPV of 2.6% (95% CI = 2.2 to 3.2). CONCLUSION: Visible haematuria is the commonest and most powerful predictor of bladder cancer in primary care, and warrants investigation. Most other previously reported features of bladder cancer were associated with the disease, but with low predictive values. There is a need for improved diagnostic methods, for those patients whose bladder cancer presents without visible haematuria.
BACKGROUND: Bladder cancer accounts for over 150,000 deaths worldwide. No screening is available, so diagnosis depends on investigations of symptoms. Of these, only visible haematuria has been studied in primary care. AIM: To identify and quantify the features of bladder cancer in primary care. DESIGN AND SETTING: Case-control study, using electronic medical records from UK primary care. METHOD: Participants were 4915 patients aged ≥40 years, diagnosed with bladder cancer January 2000 to December 2009, and 21,718 age, sex, and practice-matched controls, were selected from the General Practice Research Database, UK. All clinical features independently associated with bladder cancer using conditional logistic regression were identified, and their positive predictive values for bladder cancer, singly and in combination, were estimated. RESULTS: Cases consulted their GP more frequently than controls before diagnosis: median 15 consultations (interquartile range 9-22) versus 8 (4-15): P<0.001. Seven features were independently associated with bladder cancer: visible haematuria, odds ratio 34 (95% confidence interval [CI] = 29 to 41), dysuria 4.1 (95% CI = 3.4 to 5.0), urinary tract infection 2.2 (95% CI = 2.0 to 2.5), raised white blood cell count 2.1 (95% CI = 1.6 to 2.8), abdominal pain 2.0 (95% CI = 1.6 to 2.4), constipation 1.5 (95% CI = 1.2 to 1.9), raised inflammatory markers 1.5 (95% CI = 1.2 to 1.9), and raised creatinine 1.3 (95% CI = 1.2 to 1.4). The positive predictive value for visible haematuria in patients aged ≥60 years was PPV of 2.6% (95% CI = 2.2 to 3.2). CONCLUSION: Visible haematuria is the commonest and most powerful predictor of bladder cancer in primary care, and warrants investigation. Most other previously reported features of bladder cancer were associated with the disease, but with low predictive values. There is a need for improved diagnostic methods, for those patients whose bladder cancer presents without visible haematuria.
Authors: M P Coleman; D Forman; H Bryant; J Butler; B Rachet; C Maringe; U Nur; E Tracey; M Coory; J Hatcher; C E McGahan; D Turner; L Marrett; M L Gjerstorff; T B Johannesen; J Adolfsson; M Lambe; G Lawrence; D Meechan; E J Morris; R Middleton; J Steward; M A Richards Journal: Lancet Date: 2010-12-21 Impact factor: 79.321
Authors: Kareem N Rayn; Graham R Hale; Jonathan B Bloom; Samuel A Gold; Filipe L F Carvalho; Sherif Mehralivand; Marcin Czarniecki; Bradford J Wood; Maria J Merino; Peter Choyke; Barış Türkbey; Peter A Pinto; Piyush K Agarwal Journal: Diagn Interv Radiol Date: 2018-09 Impact factor: 2.630