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Differential effect of nonpharmacological interventions according to prediabetes phenotype: Systematic review and meta-analysis of randomized clinical trials.
Diabet Med
January 2025
Universidad Científica del Sur, Lima, Peru.
Background And Aims: Impaired glucose intolerance (IGT) and impaired fasting glucose (IFG) are totally different. Lifestyle modification is effective in moving from prediabetes to normoglycaemia. There is a lack of information showing the effect of lifestyle modification according to each prediabetes and assessing its effect on the degree of reversibility to normoglycaemia and on cardiometabolic markers.
View Article and Find Full Text PDFPotential of emodepside for vector-borne disease control.
Malar J
January 2025
Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Background: Emodepside is an anthelmintic used in veterinary medicine that is currently under investigation in human clinical trials for the treatment of soil-transmitted helminths and possibly Onchocerca volvulus. Emodepside targets the calcium-activated voltage-gated potassium slowpoke 1 (SLO-1) channels of presynaptic nerves of pharynx and body wall muscle cells of nematodes leading to paralysis, reduced locomotion and egg laying, starvation, and death. Emodepside also has activity against Drosophila melanogaster SLO-1 channels.
View Article and Find Full Text PDFResilience in maternal, newborn, and child health in low- and middle-income countries: findings from a scoping review.
Reprod Health
January 2025
Department of Global Health, University of Warwick, Coventry, UK.
Objectives: The research objectives were to identify and synthesise prevailing definitions and indices of resilience in maternal, newborn, and child health (MNCH) and propose a harmonised definition of resilience in MNCH research and health programmes in low- and middle-income countries (LMICs).
Design: Scoping review using Arksey and O'Malley's framework and a Delphi survey for consensus building.
Participants: Mothers, new-borns, and children living in low- and middle-income countries were selected as participants.
Optimal allocation of antenatal and young child nutrition interventions: an individual-based global burden of disease calibrated microsimulation.
BMC Glob Public Health
January 2025
Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Background: Undernutrition remains a global crisis and is a focus of Sustainable Development Goals. While there are multiple known, effective interventions, complex interactions between prevention and treatment and resource constraints can lead to difficulties in allocating funding. Simulation studies that use in silico simulation can help illuminate the interactions between interventions and provide insight into the cost-effectiveness of alternative packages of options.
View Article and Find Full Text PDFDerivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms.
BMC Med Inform Decis Mak
January 2025
Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), P.O Box 1578-40100, Kisumu, Kenya.
Background: Despite the adverse health outcomes associated with longer duration diarrhea (LDD), there are currently no clinical decision tools for timely identification and better management of children with increased risk. This study utilizes machine learning (ML) to derive and validate a predictive model for LDD among children presenting with diarrhea to health facilities.
Methods: LDD was defined as a diarrhea episode lasting ≥ 7 days.
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