The Platform trial In COVID-19 priming and BOOsting (PICOBOO) is a multi-site, adaptive platform trial designed to generate evidence of the immunogenicity, reactogenicity, and cross-protection of different booster vaccination strategies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its variants, specific for the Australian context. The PICOBOO trial randomises participants to receive one of three COVID-19 booster vaccine brands (Pfizer, Moderna, Novavax) available for use in Australia, where the vaccine brand subtypes vary over time according to the national vaccine roll out strategy, and employs a Bayesian hierarchical modelling approach to efficiently borrow information across consecutive booster doses, age groups and vaccine brand subtypes. Here, we briefly describe the PICOBOO trial structure and report the statistical considerations for the estimands, statistical models and decision making for trial adaptations. This paper should be read in conjunction with the PICOBOO Core Protocol and PICOBOO Sub-Study Protocol 1: Booster Vaccination. PICOBOO was registered on 10 February 2022 with the Australian and New Zealand Clinical Trials Registry ACTRN12622000238774.
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http://dx.doi.org/10.1186/s13063-024-08343-y | DOI Listing |
Emerg Microbes Infect
January 2025
Institute for Medical Virology, Goethe University, University Hospital Frankfurt, Frankfurt am Main, Germany.
Viremia defined as detectable SARS-CoV-2 RNA in the blood is a potential marker of disease severity and prognosis in COVID-19 patients. Here, we determined the frequency of viremia in serum of two independent COVID-19 patient cohorts within the German National Pandemic Cohort Network (German: tionales andemie horten etzwerk, NAPKON) with diagnostic RT-PCR against SARS-CoV-2. A cross-sectional cohort with 1,122 COVID-19 patients (German: , SUEP) and 299 patients recruited in a high-resolution platform with patients at high risk to develop severe courses (German: , HAP) were tested for viremia.
View Article and Find Full Text PDFDrug discovery continues to face a staggering 90% failure rate, with many setbacks occurring during late-stage clinical trials. To address this challenge, there is an increasing focus on developing and evaluating new technologies to enhance the "design" and "test" phases of antibody-based drugs (e.g.
View Article and Find Full Text PDFPerspect Clin Res
August 2024
Department of Pharmacy Practice, SRM College of Pharmacy, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
Post-COVID-19, the emergence of newer technologies has taken center stage. One such technology is metaverse, which is an extension of existing technologies such as virtual reality (VR) and augmented reality (AR) that enables a fully immersive communication platform through the utilization of digital twins and avatars in a three-dimensional digital space. Literature review has shown that the adoption of such technologies in the field of clinical trials can help in improving the therapeutic outcomes in patients while having numerous other benefits.
View Article and Find Full Text PDFHRB Open Res
January 2025
Department of Psychiatry, University College Dublin, Dublin, Leinster, Ireland.
Background: Individuals with first-episode psychosis (FEP) face an increased risk of physical comorbidities, notably cardiovascular diseases, metabolic disorders, respiratory disorders, and certain types of cancer. Previous reviews report pooled physical health prevalence from chronic psychosis and FEP groups. By contrast, this review will focus on antipsychotic-naïve FEP cohorts and incorporate data from observational longitudinal studies and antipsychotic intervention studies to understand the progression of physical health comorbidities from the onset to later stages of psychosis.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
January 2025
Department of Pharmacy, Nanjing Gaochun People's Hospital, Nanjing, Jiangsu, China.
Background: This study aimed to analyze the changing trend of diabetes drugs clinical trials in China during 2013-2023, and provided a reference for the research and development of diabetes drugs.
Methods: Diabetes drug clinical trial data were obtained from the registration and information disclosure platform of the National Medical Products Administration (NMPA) between January 1, 2013, and December 31, 2023. Trends of clinical trials on diabetes drugs were systematically analyzed in terms of characteristics, trial design, time trends, drug type, and indications.
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