Global, regional, and national trends in colorectal cancer burden from 1990 to 2021 and projections to 2040.

Background: Colorectal cancer (CRC) is a common malignancy with notable recent shifts in its burden distribution. Current data on CRC burden can guide screening, early detection, and treatment strategies for efficient resource allocation.

Methods: This study utilized data from the latest Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study.

Drug-induced urinary retention: a real-world pharmacovigilance study using FDA and Canada vigilance databases.

Background: Urinary retention (UR) is a clinical condition where patients cannot fully empty their bladder. Although numerous drugs are associated with UR, comprehensive and reliable studies identifying drugs that induce UR are scarce.

Methods: This study leveraged data from the FDA Adverse Event Reporting System (FAERS) and the Canadian Vigilance Adverse Reaction (CVAR) database to explore adverse events (AEs) related to UR from 2004 to Q1 2024.

Associations between the conicity index and kidney stone disease prevalence and mortality in American adults.

Kidney Stone Disease (KSD) is a prevalent urological condition, while abdominal obesity is on the rise globally. The conicity index, measuring body fat distribution, is crucial but under-researched in its relation to KSD and all-cause mortality. This study, using data from 59,842 participants in the NHANES (2007-2018), calculated the conicity index from waist circumference, height, and weight.

A new nomogram for predicting extraurothelial recurrence in patients with upper urinary tract urothelial carcinoma following radical nephroureterectomy.

Purpose: We sought to develop and validate a nomogram for predicting extra-urinary recurrence (EUR) following radical nephroureterectomy (RNU) in patients with upper urinary tract urothelial carcinoma (UTUC).

Methods: Data from 556 UTUC patients post-RNU at the First Hospital of Jilin University were retrospectively analyzed. These patients were categorized into a training group (n=389) and a validation group (n=167).

Association of body round index with chronic kidney disease: a population-based cross-sectional study from NHANES 1999-2018.

Background: Complex nexuses between obesity and chronic kidney disease (CKD) have been reported. Nevertheless, the link between the body roundness index (BRI), an indicator utilized to measure body fat distribution, and CKD risk has been unexplored.

Methods: We utilized publicly available data from ten survey cycles (1999-2018) of the National Health and Nutrition Examination Survey (NHANES) in the United States.

Construction and multiple validations of a robust ferroptosis-related prognostic model in bladder cancer: A comprehensive study.

Ferroptosis is iron-dependent programmed cell death that inhibits tumor growth, particularly in traditional treatment-resistant tumors. Prognostic models constructed from ferroptosis-related genes are lacking; prognostic biomarkers remain insufficient. We acquired gene expression data and corresponding clinical information for bladder cancer (BC) samples from public databases.

Association between circulating inflammatory proteins and benign prostatic disease: a Mendelian randomization study.

Previous research has suggested that circulating inflammatory proteins are associated with benign prostatic disease (BPD). This Mendelian randomization (MR) study was conducted to further investigate the causal relationship between 91 inflammatory proteins and BPD. Genome-wide association study (GWAS) summarized data of benign prostatic hyperplasia (BPH) and prostatitis were obtained from the FinnGen Biobank.

Causality of genetically determined metabolites on susceptibility to prevalent urological cancers: a two-sample Mendelian randomization study and meta-analysis.

Background: Prevalent urological cancers, including kidney, prostate, bladder, and testicular cancers, contribute significantly to global cancer incidence and mortality. Metabolomics, focusing on small-molecule intermediates, has emerged as a tool to understand cancer etiology. Given the knowledge gap in this field, we employ a two-sample Mendelian randomization (MR) analysis to investigate the causal relationships between genetically determined metabolites (GDMs) and the susceptibility to four common urological cancers.