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Background: In 2013, an estimated 686,000 people died from hepatitis B virus (HBV) infection worldwide. Mass treatment programmes for hepatitis B will require very low drug costs. International treatment guidelines recommend first-line monotherapy with either entecavir or tenofovir disoproxil fumarate (TDF). While the basic patent on TDF expires in 2017/8, entecavir is already generic in several countries, including the US. The chemical structure of entecavir is related to abacavir, which costs <$200 per person-year in low-income countries.
Methods: The clinical efficacy, chemical structures, daily doses, routes of chemical synthesis, costs of raw materials and patent expiry dates were analysed for entecavir and TDF. Costs of sustainable, generic production were calculated for entecavir, and compared with published originator and generic prices in high- and low-income countries.
Results: With a daily dose of 0.5 mg, one year's supply of entecavir treatment requires <0.2 g of active pharmaceutical ingredient (API) per person, estimated to cost $4/year, based on quotations of API production from generic suppliers. With an additional $20 per year for formulation/packaging and a 50% profit margin, entecavir was estimated to cost a minimum of $36/person-year, substantially lower than current originator and generic prices. Entecavir is no longer under patent protection in the USA, China, Brazil and South Africa, with European expiry in 2017. Given differences in daily dosing, production volumes for entecavir would be 600 times lower than TDF (300 mg once daily) for treating the same numbers of patients.
Conclusions: Mass treatment for hepatitis B with generic entecavir could be achieved at very low cost in all countries, provided that important projections can be met in terms of pricing for the API and finished dosage form.
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http://dx.doi.org/10.1016/S2055-6640(20)30484-2 | DOI Listing |
Cureus
August 2025
Physiology, SGT University, Gurugram, IND.
Introduction Simulation-based training has been a vital part of medical education since Competency-Based Medical Education (CBME) was introduced, and new guidelines since 2023 have expanded to include simulation as a mandatory methodology of teaching. This method enables learners to build and develop both technical and non-technical abilities in a safe and controlled setting, enhancing their preparedness for real-life medical scenarios. Simulation-based training improves skill acquisition and retention and enhances learners' confidence, reduces anxiety, reinforces learning, corrects errors, and promotes reflective practice, in contrast with the traditional method of teaching.
View Article and Find Full Text PDFVet World
July 2025
Department of Farm Resources and Production Medicine, Faculty of Veterinary Medicine, Kasetsart University, Kamphaeng Saen Campus, Nakhon Pathom, 73140 Thailand.
Background And Aim: is a Gram-negative bacterium causing systemic infections in ducks, often treated with quinolones. However, increasing resistance to quinolones poses a threat to effective treatment, and the molecular mechanisms underlying this resistance remain inadequately understood in Thailand. This study aimed to determine the minimum inhibitory concentrations (MICs) of nalidixic acid, ciprofloxacin, and enrofloxacin; identify mutations in the quinolone resistance-determining regions of and ; and detect () genes in isolates from Thai ducks.
View Article and Find Full Text PDFVet World
July 2025
Department of Nutrition and Feed Technology, Faculty of Animal Science, IPB University, Jl. Agatis, Dramaga Bogor, West Java, Indonesia.
Background And Aim: The global ban on antibiotic growth promoters (AGPs) in poultry production has intensified the search for effective phytogenic alternatives. Roxb., commonly known as Javanese turmeric, exhibits antimicrobial and antioxidant properties attributed to its bioactive compounds, including xanthorrhizol and curcumin.
View Article and Find Full Text PDFBMC Musculoskelet Disord
September 2025
Department of Clinical Sciences at Danderyds Hospital, Department of Orthopedic Surgery, Karolinska Institutet, Stockholm, 182 88, Sweden.
Background: This study evaluates the accuracy of an Artificial Intelligence (AI) system, specifically a convolutional neural network (CNN), in classifying elbow fractures using the detailed 2018 AO/OTA fracture classification system.
Methods: A retrospective analysis of 5,367 radiograph exams visualizing the elbow from adult patients (2002-2016) was conducted using a deep neural network. Radiographs were manually categorized according to the 2018 AO/OTA system by orthopedic surgeons.
J Nucl Med Technol
September 2025
Institute of Nuclear Medicine, First Faculty of Medicine, Charles University and the General University Hospital in Prague, Prague, Czech Republic;
The aim of the study was to validate a new method for semiautomatic subtraction of [Tc]Tc-sestamibi and [Tc]NaTcO SPECT 3-dimensional datasets using principal component analysis (PCA) against the results of parathyroid surgery and to compare its performance with an interactive method for visual comparison of images. We also sought to identify factors that affect the accuracy of lesion detection using the two methods. Scintigraphic data from [Tc]Tc-sestamibi and [Tc]NaTcO SPECT were analyzed using semiautomatic subtraction of the 2 registered datasets based on PCA applied to the region of interest including the thyroid and an interactive method for visual comparison of the 2 image datasets.
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