Publications by authors named "V K Sinha"
BharatSim is an open-source agent-based modelling framework for the Indian population. It can simulate populations at multiple scales, from small communities to states. BharatSim uses a synthetic population created by applying statistical methods and machine learning algorithms to survey data from multiple sources, including the Census of India, the India Human Development Survey, the National Sample Survey, and the Gridded Population of the World.
View Article and Find Full Text PDFAim: Detection of anti-HLA antibodies is crucial for pre-transplant histocompatibility testing, donor selection, and graft survival. The aim of this study was to evaluate the spectrum of anti-HLA antibodies among live related renal transplant recipients from one of the largest transplant centers in north India.
Methods: In this study, retrospective data of transplant workup done in past four years were analyzed using GraphPad Prism 9 Version 9.
Background: No currently approved treatment for pediatric plaque psoriasis selectively targets interleukin (IL)-23. In adults, guselkumab (a selective IL-23 inhibitor targeting the p19 subunit) demonstrated substantial efficacy with a favorable safety profile in treating moderate-to-severe plaque psoriasis.
Objective: PROTOSTAR (NCT03451851) evaluated the efficacy and safety of guselkumab in pediatric patients with moderate-to-severe plaque psoriasis.
Article Synopsis
- Traumatic brain injury (TBI) is a significant health issue, particularly in low- and middle-income countries like India, which presents different epidemiological trends and care practices compared to Europe.
- Data from studies in India (CINTER-TBI) and Europe (CENTER-TBI) reveal that patients in India tend to be younger and more severely injured than those in Europe, with falls being the main cause in Europe and traffic incidents in India.
- Access to pre-hospital care is markedly higher in Europe, with Indian patients more likely to receive certain surgical interventions for severe TBI, indicating differences in acute care responsiveness between the regions.