Follow-up of urolithiasis patients after treatment: an algorithm from the EAU Urolithiasis Panel.
Riccardo LombardoLazaros TzelvesRobert GeraghtyNiall F DavisAndreas NeisiusAles PetříkGiovanni GambaroChristian TürkBhaskar SomaniKay ThomasAndreas SkolarikosPublished in: World journal of urology (2024)
Based on evidence from the systematic review we propose, for the first time, a follow-up algorithm for patients after surgical stone treatment balancing the risks of stone recurrence against the burden of radiation from imaging studies.
Keyphrases
- systematic review
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- machine learning
- prognostic factors
- peritoneal dialysis
- deep learning
- randomized controlled trial
- high resolution
- meta analyses
- mass spectrometry
- free survival
- combination therapy
- smoking cessation
- replacement therapy