Developing a Diagnostic Multivariable Prediction Model for Urinary Tract Cancer in Patients Referred with Haematuria: Results from the IDENTIFY Collaborative Study

Keyphrases

• Collaborative Study 100%
• Hematuria 100%
• Cancer Inpatients 100%
• Urinary Tract Cancer 100%
• Multivariable Prediction Model 100%
• Cancer Risk 28%
• Renal Cancer 28%
• Prediction Model 28%
• Bladder Cancer 28%
• Final Model 28%
• Urological Malignancies 28%
• Secondary Care 28%
• Upper Tract Urothelial Cancer 28%
• High Risk 14%
• Confidence Interval 14%
• Clinically Significant 14%
• Prospective Observational Study 14%
• Risk Reduction 14%
• Male Sex 14%
• Patient Characteristics 14%
• Family History 14%
• Smoking History 14%
• Fixed Effects 14%
• Risk Stratification 14%
• Decision-making Process 14%
• Anticoagulation 14%
• Multivariable Logistic Regression 14%
• Urinary Tract Infection 14%
• Statistical Analysis 14%
• Catheter 14%
• Area under the Receiver Operating Characteristic Curve 14%
• Random Effects 14%
• Mixed Effects 14%
• Measurement Analysis 14%
• Patient-level 14%
• Cancer Prediction 14%
• Dysuria 14%
• Sex History 14%
• Pelvic Radiotherapy 14%
• Stepwise Selection 14%
• Clinical Reasoning 14%
• Clinician Decision Making 14%
• Suprapubic Pain 14%
• Cancer Bladder 14%
• Bootstrap Validation 14%
• Cancer Diagnostic Markers 14%
• Person Characteristics 14%

Medicine and Dentistry

• Diagnosis 100%
• Urinary Tract Cancer 100%
• Microhematuria 100%
• Malignant Neoplasm 42%
• Cancer 28%
• Kidney Cancer 28%
• Bladder Cancer 28%
• Urothelial Cancer 28%
• Secondary Care 28%
• Prevalence 14%
• Clinician 14%
• Decision Making 14%
• Logistic Regression Analysis 14%
• Anticoagulation 14%
• Urinary Tract Infection 14%
• Family History 14%
• Observational Study 14%
• Outcome Assessment 14%
• Diagnostic Marker 14%
• Pelvic Radiotherapy 14%
• Strangury 14%
• Cancer Diagnostics 14%
• Upper Tract Cancer 14%
• Clinical Reasoning 14%