Publications by authors named "R J Edwards"

Sinonasal mucosal melanoma (SNMM) is a rare aggressive malignancy of the sinonasal tract. Due to its advanced clinical presentation and frequent late-stage diagnosis, the 5-year survival rate is less than 30%, with an even worse prognosis in patients with distant metastasis (SNMM-M). Therefore, characterizing the molecular landscape of SNMM may provide novel therapeutic targets for SNMM-M.

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Background: Thermal discomfort is one of the most prevalent issues experienced by lower-limb prosthetic users where, on average, 54% of users report thermal-related issues. This arises from wearing a prosthetic socket, which may disrupt the thermoregulatory system due to the low thermal conductivity of materials used in prosthetic sockets and liners. Despite the reported prevalence, there is little understanding of the impact of wearing a prosthesis on the body's thermoregulatory system and how users perceive thermal discomfort.

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Background: Perinatal anxiety is a significant public health issue with potential adverse outcomes for both mothers and their babies. This study provides a comprehensive analysis of the costs associated with health service use for women with and without perinatal anxiety in the UK National Health Service (NHS) at six and twelve months postpartum. This research is part of the MAP Alliance Study-a large programme of research on perinatal anxiety.

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Previous studies suggest a dysregulation of the inhibitory γ-aminobutyric acid (GABA) and the excitatory glutamate/glutamine (Glx) neurotransmitter systems in people living with chronic pain. Here, we test this hypothesis in people with HIV (PWH) on stable antiretroviral therapy, either with or without neuropathic pain (PWHpain and PWHnopain, respectively), and people without HIV and pain (Ctrl). Fourteen PWHpain (age, mean ± SD: 59 ± 6.

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Shifts in insect distributions have been reported globally, largely attributed to climate and landscape changes. Communities are being reshaped, with species response traits mediating the effects of changing environments. Using a machine-learning approach we model 1252 insect occupancies across three decades in Great Britain.

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