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This study evaluated the effect of sodium-glucose cotransporter-2 inhibitors (SGLT2i) on cancer development, particularly in hepatocellular carcinoma (HCC), in individuals with concomitant fatty liver disease (FLD) and type 2 diabetes mellitus (T2DM). Using data from Korea's Health Insurance Review and Assessment Service, we performed Kaplan–Meier and Cox regression analyses in patients with non-alcoholic fatty liver disease (NAFLD) and T2DM (NAFLD-T2DM cohort) and those with chronic viral hepatitis (CVH) alongside FLD and T2DM (FLD-T2DM-CVH cohort). In the propensity score (PS) matched NAFLD-T2DM cohort (N = 107,972), SGLT2i use was not associated with the occurrence of overall cancer, including HCC. However, old age, male sex, liver cirrhosis, and hypothyroidism were identified as independent risk factors for HCC occurrence, whereas statin and fibrate usage were associated with reduced HCC risk in this cohort in multivariate Cox analysis. In the PS-matched FLD-T2DM-CVH cohort (N = 2798), a significant decrease in HCC occurrence was observed among SGLT2i users (P = 0.03). This finding remained consistent in the multivariate Cox regression analysis (Hazard ratio = 2.21, 95% confidence interval = 1.01–4.85, P = 0.048). In conclusion, SGLT2i may be a beneficial option for diabetes management in patients with concomitant T2DM, FLD, and CVH while affirming the overall safety of SGLT2i in other types of cancer. [ABSTRACT FROM AUTHOR]

Simple Summary: Hepatocellular carcinoma (HCC), the most prevalent form of primary liver cancer, is a significant cause of cancer mortality. Patients with advanced HCC commonly receive systemic therapy, including tyrosine kinase inhibitors (TKIs) such as sorafenib and lenvatinib. However, TKI resistance remains a challenge. Statins, known for their lipid-lowering properties, also show potential anti-cancer effects, particularly in HCC, by inhibiting the mevalonate pathway. Evidence suggests statins may reduce HCC risk in patients with certain conditions and potentially enhance the efficacy of TKIs. Our study, utilizing data from Korea's Health Insurance Review and Assessment Service (HIRA), investigated the clinical benefits of statins in patients with advanced HCC treated with TKIs, verifying the timing, type, and dosage of statins and their impact on patient survival outcomes. We aimed to evaluate the survival benefits of coadministering statins and multityrosine kinase inhibitors (TKIs) in patients with advanced hepatocellular carcinoma (HCC). Data from the Health Insurance Review and Assessment Service in Korea (2010–2020) were utilized. Statin use (≥28 cumulative defined daily doses) was analyzed, with 1534 statin users matched to 6136 non-users (1:4 ratio) using propensity scores. Primary and secondary outcomes were overall survival (OS) and progression-free survival (PFS). Statin use significantly improved OS (hazard ratio [HR] 0.77, 95% confidence interval [CI] 0.72–0.82, p < 0.001) and PFS (HR 0.78, 95% CI 0.74–0.84, p < 0.001). Continuous or post-TKI statin users had better OS, while discontinuation after TKI use led to poorer OS. Both lipophilic and hydrophilic statins improved OS and PFS, particularly with ≥730 cumulative defined daily doses. In conclusion, combining statins and TKIs in patients with advanced HCC yielded significant survival benefits, influenced by statin dosage and duration. Continuous statin administration post-TKI treatment is crucial for improving outcomes in patients with HCC. [ABSTRACT FROM AUTHOR]

Summary: Background: As tenofovir disoproxil fumarate (TDF) requires long‐term use, a reduction in bone density should be considered a possibility when treating patients with chronic hepatitis B (CHB) with aging and systemic diseases. Patients treated with tenofovir alafenamide (TAF) have improved bone mineral density loss compared to patients treated with TDF. Although improvements in bone density caused by TAF have been reported, studies on the actual reduction of fractures are insufficient. Aim: To evaluate the impact of TAF on the risk of osteoporotic fractures in comparison with that of TDF. Methods: Using the national claims data of the Health Insurance Review and Assessment Service, we conducted a retrospective cohort study of 32,582 patients with CHB who had been initially treated with TDF or TAF between November 2017 and December 2020. The numbers of patients treated with TDF and TAF were 20,877 and 11,705, respectively. The annual fracture rate per 100 patients in each group was calculated, and the Cox proportional hazard ratio (HR) was analysed after applying inverse probability treatment weights (IPTW) for both groups. Results: Among 32,582 patients, the average age was 47.8 ± 11.2 years, 64.5% were men, and the follow‐up period was 24.4 ± 11.6 months. The incidence of osteoporotic fractures was 0.78 and 0.49 per 100 person‐years in the TDF and TAF groups, respectively. After application of IPTW, the HR was 0.68 (95% confidence interval 0.55–0.85, p = 0.001). Conclusion: TAF‐treated patients with CHB had a significantly lower risk of osteoporotic fracture than TDF‐treated patients. [ABSTRACT FROM AUTHOR]

A control group is defined as a group of people used for comparison. Depending on the type of study, it can be a group of healthy people or a group not exposed to risk factors. It is important to allow researchers to select the appropriate control participants. The Korea Biobank Project-sponsored biobanks are affiliated with the Korea Biobank Network (KBN), for which the National Biobank of Korea plays a central coordinating role among KBN biobanks. KBN organized several working groups to address new challenges and needs in biobanking. The "Normal Healthy Control Working Group" developed standardized criteria for three defined control groups, namely, normal, normal-plus, and disease-specific controls. Based on the consensus on the definition of a normal control, we applied the criteria for normal control participants to retrospective data. The main reason for exclusion from the "Normal-plus" group was blood test results beyond 5% of the reference range, including hypercholesterolemia. Subclassification of samples of normal controls by detailed criteria will help researchers select optimal normal controls for their studies. [ABSTRACT FROM AUTHOR]