Background: Home hemodialysis (HHD) has met with alternating fortunes. The present revival of interest is due to lower costs and more frequent/efficient treatments. HHD is underdeveloped, and a marketing approach may help in defining development strategies. The aim of this study was to systematically review the recent literature (2000-2010) according to a marketing approach, defining the potential of HHD according to the classical marketing items: market size, growth rate, profitability, trends, keys for success, needs for structures and distribution channels.
Methods: A Medline search was conducted for 2000-2010. The analysis took into account the recent trends in publication as a measure of interest, size and trends, while survival and costs were analyzed as keys for success. The issues of structures and distribution channels were arbitrarily considered as equivalent to the overall hemodialysis market.
Results: Interest in HHD is growing, as shown by the increasing number of published papers (9 in 2000, 52 in 2010); yet, clinical studies accounted for less than half of the papers. In the 138 clinical studies, quality of life (33 papers) and metabolism (16 papers) were the most studied topics. Survival and cost analyses were highly heterogeneous (the broad inclusion of nocturnal or quotidian dialysis has to be mentioned). Overall, survival was equal to, or better than, that for other modalities, including transplantation and peritoneal dialysis; costs compared favorably with hospital dialysis and were equivalent to those of peritoneal dialysis.
Conclusion: The small "market" of HHD is increasing, with potential for further growth, the keys for success being equivalence or superiority of survival at equivalent or lower costs.
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http://dx.doi.org/10.5301/jn.5000088 | DOI Listing |
Clin Adv Periodontics
January 2025
Department of Postgraduate Periodontics, Maimónides University, Buenos Aires, Argentina.
Background: There is substantial evidence that smokers present a less favorable response following regenerative periodontal surgery. However, there are no reports to date on the response to regenerative procedures in chronic cannabis smokers. In the present case study, we discuss the periodontal outcomes of reparative and regenerative surgical treatment in a cannabis consumer patient with generalized stage III grade C periodontitis.
View Article and Find Full Text PDFFront Oncol
December 2024
Department of Breast and Thoracic Oncology, Istituto Nazionale Tumori IRCCS Fondazione Pascale, Naples, Italy.
Pediatr Blood Cancer
December 2024
Division of Hematology/Oncology and Stem Cell Transplantation, Department of Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA.
Background: Returning to school after allogeneic hematopoietic cell transplant (HCT) can improve quality of life and promote positive adjustment. However, this process may be challenging, and there is a limited understanding of school-aged children and adolescents' perspectives on this process.
Methods: We conducted semi-structured interviews over video with pediatric recipients of HCT (10-18 years of age at HCT; 1-7 years post HCT) who were treated at our institution and had returned to in-person school post HCT.
Med Image Anal
December 2024
School of Electrical Engineering, Korea University, Seoul, Republic of Korea. Electronic address:
There is no doubt that advanced artificial intelligence models and high quality data are the keys to success in developing computational pathology tools. Although the overall volume of pathology data keeps increasing, a lack of quality data is a common issue when it comes to a specific task due to several reasons including privacy and ethical issues with patient data. In this work, we propose to exploit knowledge distillation, i.
View Article and Find Full Text PDFPeerJ Comput Sci
December 2024
Huaibei People's Hospital, Huaibei, China.
Transformer-based technology has attracted widespread attention in medical image segmentation. Due to the diversity of organs, effective modelling of multi-scale information and establishing long-range dependencies between pixels are crucial for successful medical image segmentation. However, most studies rely on a fixed single-scale window for modeling, which ignores the potential impact of window size on performance.
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