OBJECTIVE: Cystatin C and neutrophil gelatinase-associated lipocalin (NGAL) are biomarkers of renal functions. We evaluated their roles in predicting the severity of coronary artery disease (CAD).
BACKGROUND: In this study we assessed the efficacy of nephron-sparing surgery and the changes in renal function after surgery in patients with solitary kidneys.
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Apr 24, 2015
AIM: To assess the role of simple enucleation (SE) for the treatment of highly complex renal tumors.
PURPOSE: We compared perioperative and long-term renal functional outcomes of robot-assisted partial nephrectomy (RAPN) with laparoscopic partial nephrectomy (LPN) for small renal masses.
CONTEXT: Robotic partial nephrectomy (RPN) is rapidly increasing; however, the benefit of RPN over laparoscopic partial nephrectomy (LPN) is controversial.
Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
Dec 23, 2025
BACKGROUND AND HYPOTHESIS: Chronic kidney disease is a major global health concern, with air pollution increasingly recognized as a key contributor to kidney function decline. This study hypothesizes that exposure to air pollution accelerates kidney ...
OBJECTIVE: Kidney fibrosis is a key pathological feature in the progression of chronic kidney disease (CKD), traditionally diagnosed through invasive kidney biopsy. This study aimed to develop and validate a noninvasive, multi-center predictive model...
BACKGROUND: Diabetic kidney disease (DKD) is a common and serious complication of diabetic mellitus (DM). More sensitive methods for early DKD prediction are urgently needed. This study aimed to set up DKD risk prediction models based on machine lear...
BACKGROUND: Calcification is prevalent in CKD patients, with abdominal aortic calcification (AAC) being a strong predictor of coronary calcification. We aimed to identify key calcification factors in CKD and non-CKD populations using machine learning...
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