This is an app for clinicians and healthcare professionals to aid in calculating the cancer risk in a patient referred to secondary care with haematuria, without a prior history of urological malignancy.
The app uses patient characteristics, based on the IDENTIFY study conducted by the BURST collaborative group, to calculate the cancer risk. The patient characteristics used to predict the risk are:
Age
Type of haematuria
Sex
Smoking history
Family history of urothelial cancer
Previous benign investigation of haematuria
Urinary tract infection associated with haematuria episode
Catheter use
Previous pelvic radiotherapy
Suprapubic pain or dysuria
Anticoagulation
This app is designed to be a tool for the clinician to aid their decision making in further investigations and the urgency of such investigations in their patients. It should not replace clinical judgment. The calculator also suggests risk categories for the calculated risk, based on less than 1%, 1-5%, 5-20% and more than 20% risk of cancer. These have been chosen by the BURST collaborative group, but may not reflect what the clinician believes to be the correct risk thresholds for each category.
The app uses patient characteristics, based on the IDENTIFY study conducted by the BURST collaborative group, to calculate the cancer risk. The patient characteristics used to predict the risk are:
Age
Type of haematuria
Sex
Smoking history
Family history of urothelial cancer
Previous benign investigation of haematuria
Urinary tract infection associated with haematuria episode
Catheter use
Previous pelvic radiotherapy
Suprapubic pain or dysuria
Anticoagulation
This app is designed to be a tool for the clinician to aid their decision making in further investigations and the urgency of such investigations in their patients. It should not replace clinical judgment. The calculator also suggests risk categories for the calculated risk, based on less than 1%, 1-5%, 5-20% and more than 20% risk of cancer. These have been chosen by the BURST collaborative group, but may not reflect what the clinician believes to be the correct risk thresholds for each category.
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