Publications by authors named "C Anthony Egan"

The benefit of adjuvant radiation therapy (RT) in adrenocortical carcinoma (ACC) is not well characterized for those who undergo initial R0 surgical resection. Patients in the NCDB who underwent R0 resection were placed into two cohorts - those who underwent adjuvant RT and those who did not. 388 patients were identified with 51 receiving RT.

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Poor sleep quality has been linked to both poor psychological and physical well-being. Mood and anxiety levels are affected by poor quality sleep, and the relationship between these variables appears to be mediated by a tendency to depersonalize or not. This study examines these relationships in 112 Adults (Female = 82, Male = 30), via an online study.

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Atopic dermatitis (AD) is a chronic inflammatory skin disorder influenced by proteins involved in skin barrier maintenance and vitamin D metabolism. Using an intra-patient design, this study compared protein expression in intra-lesional (IL) and peri-lesional (PL) skin biopsies from AD patients and examined associations between protein levels, vitamin D status, and clinical features. Forty-four biopsies from twenty-two AD patients were analyzed using antibody microarrays targeting twelve proteins.

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Few metrics exist to describe phenotypic diversity within ophthalmic imaging datasets, with researchers often using ethnicity as a surrogate marker for biological variability. We derived a continuous, measured metric, the retinal pigment score (RPS), that quantifies the degree of pigmentation from a colour fundus photograph of the eye. RPS was validated using two large epidemiological studies with demographic and genetic data (UK Biobank and EPIC-Norfolk Study) and reproduced in a Tanzanian, an Australian, and a Chinese dataset.

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Aims: Automated retinal image analysis using Artificial Intelligence (AI) can detect diabetic retinopathy as accurately as human graders, but it is not yet licensed in the NHS Diabetic Eye Screening Programme (DESP) in England. This study aims to assess perceptions of People Living with Diabetes (PLD) and Healthcare Practitioners (HCP) towards AI's introduction in DESP.

Methods: Two online surveys were co-developed with PLD and HCP from a diverse DESP in North East London.

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