Publications by authors named "S A Davidson"

Leptospirosis, a global zoonotic disease caused by spp., presents high morbidity and mortality risks, especially in tropical regions like Thailand. Military personnel deployed in endemic areas, such as during the Cobra Gold Joint exercise, face heightened exposure.

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Many superhero and villain stories include trauma, which could influence how the public perceives the impact of trauma in their own lives. Our aim was to assess whether total Adverse Childhood Experiences (ACEs) scores were associated with heroism or villainy among Marvel and DC Characters. We watched 33 films, with a total runtime of 77 hours and 5 minutes.

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Background: Corticosteroid receptors, including mineralocorticoid receptor (MR) and glucocorticoid receptor (GR), play important roles in inflammatory pain in the dorsal root ganglion (DRG). Although it is widely known that activating the GR reduces inflammatory pain, it has recently been shown that MR activation contributes to pain and neuronal excitability in rodent studies. Moreover, little is known about the translation of this work to humans, or the mechanisms through which corticosteroid receptors regulate inflammatory pain.

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Importance: An unhealthy lifestyle is believed to increase the development and persistence of low back pain, but there is uncertainty about whether integrating support for lifestyle risks in low back pain management improves patients' outcomes.

Objective: To assess the effectiveness of the Healthy Lifestyle Program (HeLP) compared with guideline-based care for low back pain disability.

Design, Setting, And Participants: This superiority, assessor-blinded randomized clinical trial was conducted in Australia from September 8, 2017, to December 30, 2020, among 346 participants who had activity-limiting chronic low back pain and at least 1 lifestyle risk (overweight, poor diet, physical inactivity, and/or smoking), referred from hospital, general practice, and community settings.

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Background: Manual extraction of real-world clinical data for research can be time-consuming and prone to error. We assessed the feasibility of using natural language processing (NLP), an AI technique, to automate data extraction for patients with advanced lung cancer (aLC). We assessed the external validity of our NLP-extracted data by comparing our findings to those reported in the literature.

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