As pressure on resources increases, decision makers in health care are increasingly seeking high-quality, scientific evidence to support clinical and health policy choices. Ultimately, legislators will look to develop performance measures based on evidence, rather than on consensus or commonality of practice. As plastic surgeons, we can take an increased role in producing impartial evidence on the efficacy of our surgical interventions. We can move away from the retrospective reporting of cases and nonrandomized studies and instead rely on prospective, randomized trials addressing important clinical issues. In doing so, we will challenge the common practice of basing clinical decisions solely on what we are taught, procedures we are most comfortable doing, or procedures that are most financially rewarding. These efforts will not only afford us the best opportunity to provide optimal care to patients but also allow us to demonstrate the inherent quality of our surgical specialty.
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http://dx.doi.org/10.1097/PRS.0b013e31818d2098 | DOI Listing |
Forensic Sci Int
January 2025
King's Forensics, Department of Analytical, Environmental and Forensic Sciences, King's College London, 150 Stamford Street, London SE1 9NH, UK. Electronic address:
Wildlife forensics is a relatively underexplored field of science. It provides forensic evidence to support legal investigations involving wildlife crime, such as the trafficking and poaching of animals and/or their goods. The consequences of poaching are not just limited to a decline in animal welfare and include the spread of zoonotic disease, species, cultural and habitat loss, and injury of anti-poaching rangers.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Software, Faculty of Artificial Intelligence and Software, Gachon University, Seongnam-si, 13120, Republic of Korea.
Network security is crucial in today's digital world, since there are multiple ongoing threats to sensitive data and vital infrastructure. The aim of this study to improve network security by combining methods for instruction detection from machine learning (ML) and deep learning (DL). Attackers have tried to breach security systems by accessing networks and obtaining sensitive information.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
Donostia International Physics Center (DIPC), 20018 Donostia-San Sebastián, Spain.
Desalination of seawater by forward osmosis is a technology potentially able to address the global water scarcity problem. The major challenge limiting its widespread practical application is the design of a draw solute that can be separated from water by an energetically efficient process and then reused for the next cycle. Recent experiments demonstrate that a promising draw solute for forward-osmosis desalination is tetrabutylphosphonium 2,4,6-trimethylbenzenesulfonate ([P][TMBS]).
View Article and Find Full Text PDFClin Chem
January 2025
Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Background: Multianalyte machine learning (ML) models can potentially identify previously undetectable wrong blood in tube (WBIT) errors, improving upon current single-analyte delta check methodology. However, WBIT detection model performance has not been assessed in a real-world, low-prevalence context. To estimate real-world positive predictive values, we propose a methodology to assess WBIT detection models by evaluating the impact of missing data and by using a "low prevalence" validation data set.
View Article and Find Full Text PDFJ Clin Med
January 2025
Department of Orthopaedic Surgery, CHA Bundang Medical Center, CHA University School of Medicine, 335 Pangyo-ro, Bundang-gu, Seongnam-si 13488, Gyeonggi-do, Republic of Korea.
: With the rapid increase in the aging population, the number of patients complaining of shoulder pain is also increasing. Among shoulder ailments, rotator cuff tears (RCTs) are most frequently observed in middle-aged and elderly individuals. Sarcopenia refers to the decline in muscle mass (lean body mass) and the subsequent decrease in muscle function that is linked to the natural aging process.
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