22 papers
Nephrology focuses on understanding and treating the kidneys, the vital organs responsible for filtering waste from our blood and balancing fluids in the body. This dynamic field tackles everything from common issues like kidney stones and infections to complex chronic diseases that require lifelong management. As researchers push the boundaries of what we know about renal health, new discoveries emerge daily, offering hope for better treatments and prevention strategies.
At Gist.Science, we ensure these advancements reach everyone by curating the latest preprints directly from medRxiv. Our team processes every new submission in this category, transforming dense scientific findings into clear, plain-language summaries alongside detailed technical analyses. This dual approach allows both curious readers and medical professionals to stay informed without getting lost in complex jargon.
Below you will find the most recent preprints covering the latest breakthroughs and studies in kidney health and disease.
This systematic review and meta-analysis demonstrates that deep brain stimulation targeting the ventral intermediate nucleus of the thalamus consistently produces substantial tremor reduction across diverse targeting methodologies, despite significant heterogeneity in surgical approaches and study designs.
This study reveals significant variation in tolvaptan prescribing across UK kidney centers, where a substantial proportion of eligible patients with ADPKD remain untreated while many ineligible patients receive the therapy, leading to substantial potential losses in both healthcare costs and quality-adjusted life years.
This study proposes and validates a novel hybrid XGBoost-LSTM framework with temporal attention (XLA) that significantly outperforms traditional static models in predicting chronic kidney disease progression by leveraging longitudinal claims data to capture temporal disease trajectories, while also highlighting the critical limitation of cross-sectional features in the absence of direct UACR measurements.
This study identifies urinary myoglobin as a specific noninvasive biomarker for distinguishing CUBN-related chronic benign proteinuria (PROCHOB) from glomerular diseases, offering a diagnostic strategy that reduces unnecessary kidney biopsies and guides targeted genetic testing.
This study utilizes an XGBoost machine learning model to identify soil type, water pH, electrical conductivity, and fluoride concentration as key environmental predictors of Chronic Kidney Disease of unknown etiology (CKDu) in Sri Lanka, thereby highlighting the need for targeted water quality and agrochemical interventions to mitigate the disease's prevalence.
This Japanese cohort study of patients with chronic kidney disease or heart failure found that while physical quality of life was generally impaired, the use of potassium binders had a less negative impact on quality of life than dietary restrictions and supported the continued use of RAAS inhibitors.
This study demonstrates that medullary cast formation is an independent predictor of adverse kidney outcomes in chronic kidney disease patients and provides incremental prognostic value beyond conventional cortical pathology assessments.
This cross-sectional survey study demonstrates that the availability of the Kidney-CAP bleeding cessation device positively influences clinical decision-making by increasing patients' desire for arteriovenous fistula creation and kidney transplantation, while prompting healthcare providers to recommend home hemodialysis more frequently.
This study utilizes single-nucleus transcriptomics of over 150 kidney biopsies to identify shared multicellular injury programs in acute and chronic kidney disease that transcend traditional clinical categories, revealing non-invasive protein signatures predictive of long-term renal outcomes.
This study of 350 Ethiopian children found poor agreement between cystatin C- and creatinine-based estimated glomerular filtration rates, revealing that creatinine-based equations significantly overestimate kidney function compared to cystatin C-based estimates, thus highlighting the need for local validation using gold-standard clearance methods.