Kaikai Lv

Area of research

Urology · Transplantation

Research interest

Research topics from publications: Skin cancer outcomes and risk factors in renal transplant recipients: Analysis of organ procurement and transplantation network data from 2000 to 2021; The causal effect of metabolic syndrome and its components on benign prostatic hyperplasia: A univariable and multivariable Mendelian randomization study; Effects of recipient education disparity on living donor kidney transplant outcomes across different ethnic groups: a retrospective study in the United States; Simpson's paradox and the impact of donor-recipient race-matching on outcomes post living or deceased donor kidney transplantation in the United States; Transplant or dialysis: What’s the better choice for RCC-induced ESRD patients? A 20-year analysis of OPTN/UNOS data; Age and metabolic syndrome are associated with unsatisfactory improvement in nocturia after holmium laser enucleation of the prostate; Waiting-List and early posttransplant prognosis among ethnoracial groups: Data from the organ procurement and transplantation network. Representative work: Purpose Posttransplant skin cancer is the most common malignancy after patients have undergone renal transplantation. Through comprehensive observation with a large sample size nationwide, understanding the risk factors and outcome of posttransplant skin cancer will help to develop appropriate patient surveillance and disease prevention strategies. Materials and methods This retrospective population-based cohort study was based on Organ Procurement and Transplantation Network data released in March 2021. Characteristics and outcomes, including patient survival and graft survival of recipients, were compared. Risk factors for posttransplant skin cancer, cancer onset momentum, and mortality we BACKGROUND: Previous observational studies have indicated that metabolic abnormalities are associated with benign prostatic hyperplasia (BPH). The limitations of the research methodology of observational studies do not allow causal inference to be drawn; however, Mendelian randomization (MR) can clarify this. METHODS: Using summary-level data from genome-wide association studies, we conducted a two-sample MR study to examine the causality of the metabolic syndrome (MetS) and its components on BPH (26,358 BPH cases and 110,070 controls). The random-effects inverse-variance weighted was employed as the primary method for MR analy

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