News & Updates

Antidiabetic drugs may exert effects beyond glycaemic control and could influence neurodegenerative risk, with sodium-glucose co-transporter-2 inhibitors (SGLT2i) and glucagon-like peptide-1 receptor agonists (GLP-1 RA) being associated with lower risk of Parkinson’s disease (PD), suggesting potential neuroprotective effects, a Bayesian network meta-analysis has found.

Among treatment-naïve adults with HIV who are initiating antiretroviral therapy (ART), a regimen containing doravirine, lamivudine, and tenofovir disoproxil fumarate (DOR/3TC/TDF) is as good as the dolutegravir, emtricitabine, and tenofovir alafenamide (DTG/FTC/TAF) regimen in terms of viral suppression but is associated with less weight gain, according to the open-label, head-to-head OPTI-DOR study conducted in South Africa.

A survey conducted prior to resmetirom approval reports low rates of weight loss medication prescription due to low comfort potentially from lack of education despite strong beliefs that these drugs can benefit patients with metabolic dysfunction-associated steatotic liver disease (MASLD).

Patient satisfaction is high during the first year following penile inversion vaginoplasty for functional outcomes and alleviation of gender dysphoria, a study has shown.

Prenatal exposure to organophosphate pesticides does not appear to contribute to an increased likelihood of having autism-related traits in childhood, according to a study.

In a subgroup of patients with migraine who completed the full 24-week double-blind treatment period, referred to as treatment completers, treatment with atogepant is associated with greater improvements in clinical efficacy and functional endpoints than topiramate, according to a post hoc analysis of the TEMPLE trial presented at EAN 2026.

Discontinuing tenofovir in antiretroviral therapy (ART) may expose people living with HIV to hepatitis B virus (HBV)-related risks, including reactivation in those previously exposed and infection in those who are susceptible, according to a systematic review and meta-analysis.

Artificial intelligence (AI) holds potential in dermatology education, but existing literature demonstrates high risk of bias, has small sample sizes, and is characterized by limited methodological rigour, according to a review by Singapore researchers. Furthermore, evidence to determine whether AI-based tool improve learning outcomes compared with standard educational approaches is lacking.