Since the establishment of the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH), many countries in the world have rapidly improved their clinical trial performance, and the era has come to compare the clinical trial performance of each country. Japan's clinical trials are considered excellent quality, but costly and slow. In this study, we examined the speed of enrollment period in clinical trials. We surveyed clinical trials from January 1, 2010, to December 31, 2019, covering the top 10 pharmaceutical companies in each global sales ranking (Global 10) and the Japanese sales ranking (Japan 10). Clinical trial data were obtained from ClinicalTrials.gov, a clinical trial registration information database, and the speed of participant enrollment (cases/month) was compared for each phase of the trials. The number of clinical trials conducted during the 10 years was 8938 trials for Global 10 and 1439 trials for Japan 10. Comparing the speed of participant enrollment by phase, Japan 10 was significantly faster in phase 1 for both healthy subjects and oncology patients. [Japan 10: Global 10; 15.1 : 12.0 cases/month (healthy subjects) and 5.5 : 1.8 cases/month (oncology), respectively. p < 0.001]. Global 10 was also significantly faster in phase 3. [Japan 10: Global 10; 12.4: 36.9 cases/month, p < 0.001). No significant difference was observed in phase 2 and phase 4. There was a possibility that the speed of enrollment differed by phase between global companies and Japanese domestic companies.
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http://dx.doi.org/10.1248/bpb.b23-00245 | DOI Listing |
CA Cancer J Clin
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Division of Medical Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.
Poly(adenosine diphosphate ribose) polymerase (PARP) inhibitors, such as olaparib, talazoparib, rucaparib, and niraparib, comprise a therapeutic class that targets PARP proteins involved in DNA repair. Cancer cells with homologous recombination repair defects, particularly BRCA alterations, display enhanced sensitivity to these agents because of synthetic lethality induced by PARP inhibitors. These agents have significantly improved survival outcomes across various malignancies, initially gaining regulatory approval in ovarian cancer and subsequently in breast, pancreatic, and prostate cancers in different indications.
View Article and Find Full Text PDFClin Trials
January 2025
Liverpool Clinical Trials Centre, University of Liverpool, Liverpool, UK.
Background/aims: When conducting a randomised controlled trial in surgery, it is important to consider surgical learning, where surgeons' familiarity with one, or both, of the interventions increases during the trial. If present, learning may compromise trial validity. We demonstrate a statistical investigation into surgical learning within a trial of cleft palate repair.
View Article and Find Full Text PDFWorldviews Evid Based Nurs
February 2025
School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China.
Background: Coronary artery disease (CAD) is a major health problem of atherosclerotic cardiovascular (CV) disease and early intervention is regarded important. Given the proven effect of a lifestyle intervention with nursing telephone counselling and mHealth use in health care, yet the comparisons of both support are lacking, this study is proposed.
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JMIR Public Health Surveill
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School of Public Health, Imperial College London, London, United Kingdom.
Background: High response rates are needed in population-based studies, as nonresponse reduces effective sample size and bias affects accuracy and decreases the generalizability of the study findings.
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Methods: Over 19 rounds, a random sample of individuals aged 5 years and older from the general population in England were invited by mail to complete a web-based questionnaire and return a swab for SARS-CoV-2 testing.
J Alzheimers Dis
January 2025
Department of Neurology and the Franke Barrow Global Neuroscience Education Center, Barrow Neurological Institute, Phoenix, AZ, USA.
Background: The aim of this study was to examine the potential added value of including neuropsychiatric symptoms (NPS) in machine learning (ML) models, along with demographic features and Alzheimer's disease (AD) biomarkers, to predict decline or non-decline in global and domain-specific cognitive scores among community-dwelling older adults.
Objective: To evaluate the impact of adding NPS to AD biomarkers on ML model accuracy in predicting cognitive decline among older adults.
Methods: The study was conducted in the setting of the Mayo Clinic Study of Aging, including participants aged ≥ 50 years with information on demographics (i.
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