This article begins by introducing the historical background surrounding the volume-outcomes relationship literature, particularly in complex cancer surgery. The state of evidence surrounding mortality, as well as other outcomes, in relation to both hospital and surgeon procedure volume is synthesized. Where it is understood, the level of adoption of regionalization of various complex surgeries in the United States is also presented. Various controversies are weighed and discussed. Finally, various models of regionalization and proposed alternatives to regionalization from the peer-reviewed literature are presented.
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http://dx.doi.org/10.1016/j.soc.2018.05.009 | DOI Listing |
Infect Dis (Lond)
January 2025
Department of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, GA, USA.
Background: Whether a detected virus or bacteria is a pathogen that may require treatment, or is merely a commensal 'passenger', remains confusing for many infections. This confusion is likely to increase with the wider use of multi-pathogen PCR.
Objectives: To propose a new statistical procedure to analyse and present data from case-control studies clarifying the probability of causality.
Bot Stud
January 2025
Crop Science Division, Taiwan Agricultural Research Institute, Ministry of Agriculture, Taichung, 413, Taiwan.
Background: Rice is a staple food for the global population. However, extreme weather events threaten the stability of the water supply for agriculture, posing a critical challenge to the stability of the food supply. The use of technology to assess the water status of rice plants enables the precise management of agricultural water resources.
View Article and Find Full Text PDFRadiol Med
January 2025
Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Purpose: To develop an artificial intelligence (AI) algorithm for automated measurements of spinopelvic parameters on lateral radiographs and compare its performance to multiple experienced radiologists and surgeons.
Methods: On lateral full-spine radiographs of 295 consecutive patients, a two-staged region-based convolutional neural network (R-CNN) was trained to detect anatomical landmarks and calculate thoracic kyphosis (TK), lumbar lordosis (LL), sacral slope (SS), and sagittal vertical axis (SVA). Performance was evaluated on 65 radiographs not used for training, which were measured independently by 6 readers (3 radiologists, 3 surgeons), and the median per measurement was set as the reference standard.
Introduction: In natural disasters, children encounter serious health problems.
Method: This qualitative phenomenological study investigated the problems encountered by children with a diagnosis of celiac disease who lived in the earthquake region of Kahramahmaras in Turkey. Colaizzi method, a phenomenological research method, was used in the study.
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