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| http://dx.doi.org/10.46747/cfp.680136 | DOI Listing |
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A scoping review protocol on brain PaCO2 levels at altitude.
PLoS One
January 2025
Division of Neurology, Department of Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada.
Background: Aeromedical transfer of patients with ischemic stroke to access hyperacute stroke treatment is becoming increasingly common. Little is known about how rapid changes of altitude and atmospheric pressure can impact cerebral perfusion and ischemic burden. In patients with ischemic stroke, there is a theoretical possibility that this physiologic response of hypoxia-driven hyperventilation at higher altitude can lead to a relative drop in PaCO2.
View Article and Find Full Text PDFA practical guide for nephrologist peer reviewers: understanding and appraising Mendelian randomization studies.
Ren Fail
December 2025
Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Identifying risk factors for disease onset and progression has been a core focus in nephrology research. Mendelian Randomization (MR) has emerged as a powerful genetic epidemiological approach, utilizing genome-wide association studies (GWAS) to establish causal relationships between modifiable risk factors and kidney disease outcomes. MR uses genetic variants as instrumental variables to infer causal relationships between exposures and disease outcomes.
View Article and Find Full Text PDFCross-sectional evaluation of medical reversals among National Institute of Health guideline practices implemented during the COVID-19 pandemic: how often did experts err in a time of crisis?
BMJ Open
December 2024
Department of Medicine, The University of Chicago, Chicago, Illinois, USA.
Objective: The COVID-19 pandemic required the rapid and often widespread implementation of medical practices without robust data. Many of these practices have since been tested in large, randomised trials and were found to be in error. We sought to identify incorrect recommendations, or reversals, among National Institute of Health COVID-19 guidelines and Food and Drug Administration (FDA) approvals and authorisations.
View Article and Find Full Text PDF[Rapid non-destructive detection technology for traditional Chinese medicine preparations based on machine learning: a review].
Zhongguo Zhong Yao Za Zhi
December 2024
Key Laboratory of Modern Preparation of TCM,Ministry of Education, Jiangxi University of Chinese Medicine Nanchang 330004, China National Key Laboratory of Creation of Modern Chinese Medicine with Classical Formulas Nanchang 330004, China.
In recent years, with the increasing societal focus on drug quality and safety, quality issues have become a major challenge faced by the pharmaceutical industry, directly impacting consumer health and market trust. By combining multispectral imaging technology with machine learning, it is possible to achieve rapid, non-destructive, and precise detection of traditional Chinese medicine(TCM) preparations, thereby revolutionizing traditional detection methods and developing more convenient and automated solutions. This paper provides a comprehensive review of the current applications of rapid, non-destructive detection techniques based on machine learning algorithms in the field of TCM preparations.
View Article and Find Full Text PDFEthnic disparities in rapid tranquillisation use and justifications in adult mental health inpatient settings: a systematic review and meta-analysis.
BMJ Ment Health
January 2025
Forensic Mental Health Research Unit Middelfart, Department of Regional Health Research, University of Southern Denmark, Middelfart, Denmark.
Question: Evidence on the likelihood of receiving rapid tranquillisation (RT) across ethnic groups is mixed, with some studies suggesting that ethnic minorities are more likely to receive RT than others. We aimed to investigate the association between ethnicity and RT use in adult mental health inpatient settings and to explore explanations for RT use in relation to ethnicity.
Study Selection And Analysis: We searched six databases, grey sources, and references from their inception to 15 April 2024.
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