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BackgroundSurvival extrapolation is used to predict patients' overall survival beyond clinical trial follow-up. It can significantly affect the results of a cost-effectiveness analysis and subsequent pricing and reimbursement decisions. However, selecting an appropriate model involves subjectivity, leading to discrepancies between methods submitted by manufacturers and those accepted by health technology assessment (HTA) agencies. This review describes the acceptance and criticisms of overall survival extrapolation methods by HTA agencies in England, France, and Australia.MethodsElectronic searches conducted on September 4, 2022, identified HTA evaluations for oncology therapies indicated for the treatment of solid tumors from the National Institute for Health and Care Excellence (NICE) in England, the Haute Autorité de Santé (HAS) in France, and the Pharmaceutical Benefits Advisory Committee (PBAC) in Australia, published between August 2017 and August 2022. Information on the overall survival extrapolation model submitted by the manufacturer was extracted. The acceptance decision of the HTA agency and the key criticisms were also recorded.ResultsA total of 140 HTA evaluations were identified. The initial overall survival extrapolation method was accepted in 21% of cases. The most frequently cited criticisms related to a lack of or inappropriate incorporation of treatment effect waning over time (31%). Other criticisms included choice of parametric distribution, in which multiple distributions were often considered plausible (24%); immaturity of survival data (15%); and concerns about the proportional hazards assumption, which lacked clinical validity (8%).ConclusionThis review highlights the low acceptance of survival extrapolation methods and the areas of discordance between manufacturers and HTA agencies in England, France, and Australia. Low acceptance rates of survival extrapolation methods by HTA bodies can affect pricing and reimbursement decisions of new therapies, delaying patient access.HighlightsThis review found that the survival extrapolation methods initially submitted by companies were accepted in only 21% of cases.The most common areas of discordance between companies and HTA agencies were inappropriate modeling of treatment effect over time, choice of parametric distribution, immaturity of survival data, and concerns about the proportional hazards assumption.There is a need for more consistent guidance on the selection of an appropriate extrapolation method to limit the inherent subjectivity surrounding survival curve selection.
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http://dx.doi.org/10.1177/0272989X251351635 | DOI Listing |
Ecology
September 2025
Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada.
Many populations show pronounced individual heterogeneity in traits such as somatic growth rates, but the relevance of this heterogeneity to population dynamics remains unclear. Individual heterogeneity may be particularly relevant to long-lived organisms for which vital rates (survival and reproduction) increase with adult growth, as subtle differences in growth rates can have major fitness consequences. Previous analysis of data for snapping turtles (Chelydra serpentina) in Algonquin Park, Canada, from 1972 to 2012 showed that individual heterogeneity in growth rates and size-specific reproductive rates of adult females led to eightfold variation in lifetime reproductive output.
View Article and Find Full Text PDFDiabetes Ther
September 2025
Diabetes Care Unit, Caen University Hospital, UNICAEN, 14033, Caen Cedex 09, France.
Introduction: Diabetes represents an increasing public health challenge in France, yet national data distinguishing type 1 from type 2 diabetes and insulin use remain limited. This study aimed to describe trends in the epidemiology, care pathways and health outcomes of adult individuals living with type 1 or type 2 diabetes in France from 2010 to 2019. It focused on individuals treated or not with insulin and applied a predictive classification algorithm to accurately distinguish between diabetes types using real-world data.
View Article and Find Full Text PDFInt J Exp Pathol
September 2025
Department of Thoracic Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
With high morbidity and mortality internationally, oesophageal cancer is one of the most common diseases of the digestive system. The most frequent approaches to the treatment of oesophageal cancer are a combination of chemotherapy and radiation therapy. Inevitably, some individuals with oesophageal cancer fail to respond favourably to these treatments because of therapeutic resistance, with eventual unfavourable outcomes.
View Article and Find Full Text PDFInfect Dis Ther
September 2025
Division of Infectious Diseases and Tropical Medicine, Department of Medicine I, Leipzig University Medical Center, Leipzig 20, 04103, Leipzig, Germany.
Introduction: Clostridioides difficile infection (CDI) is the leading cause of healthcare-associated infectious diarrhea, with recurrence rates of 15-20% after standard treatment and ≥ 30% after a second relapse. In Germany, reliable epidemiological data remain limited.
Methods: A retrospective claims data analysis of the period 2017-2022 was performed using the German Analysis Database for Evaluation and Health Services Research (DADB), which covers 4.
Int J Infect Dis
August 2025
Department of Epidemiology of Microbial Diseases, Yale School of Public Health. Electronic address:
Background: Changes in rates of death due to pneumococcus during the COVID-19 pandemic period from 2020 to 2022 are not well understood.
Methods: We obtained vital statistics data for the United States (National Center for Health Statistics), including age, sex, race/ethnicity, cause of death (ICD-10), 2014-2022. Generalized linear models were fit to the period from January 2014-February 2020 and extrapolated to March 2020-December 2022 to generate an expected number of pneumococcal deaths and a 95% prediction interval.