Publications by authors named "M U Beg"
Background: Alterations in cellular metabolism affect cancer survival and can manifest in metrics of body composition. We investigated the effects of various body composition metrics on survival in patients with glioblastoma (GBM).
Methods: We retrospectively analyzed patients who had an abdominal and pelvic computed tomography (CT) scan performed within 1 month of diagnosis of GBM (178 participants, 102 males, 76 females, median age: 62.
MiRNA-200a and miRNA-200b expression, and vitamin-D level: Prognostic significance in obese non-diabetic and obese type 2 diabetes mellitus individuals.
World J Clin Cases
December 2024
Background: Obesity and type 2 diabetes mellitus (T2DM) are frequent co-occurring disorders that affect regular metabolic functions. Obesity has also been linked to an increased risk of developing diabetes. Obesity and diabetes are on the rise, increasing healthcare costs and raising mortality rates.
View Article and Find Full Text PDFBackground: Older adults with cancer are at an increased risk of treatment related toxicities and early death. Routinely collected clinico-demographic characteristics inadequately explain this increased risk limiting accurate prognostication. Prior studies have suggested that altered body composition and frailty are independently associated with worse survival among older adults with cancer; however, their combined influence remains unclear.
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- * Involving 200 newly diagnosed HIV-1 patients, the research revealed significant correlations, such as lower hemoglobin levels linked to higher CD4+ counts and lower PVL, while abnormalities in various blood parameters were more pronounced in those co-infected with HIV-TB.
- * The findings suggest that specific hematological and biochemical indicators, including hemoglobin and inflammatory markers, could serve as early warning signs for TB in HIV-infected individuals, enhancing patient management
Purpose Of The Review: Psychotherapy remains a fundamental component of mental health treatment, yet it encounters significant barriers to accessibility and efficacy. The integration of digital therapies, encompassing e-Health, m-Health, and artificial intelligence (AI) offers the transformative potential to enhance therapeutic processes through automated systems that improve access and personalize treatment. This integration, however, involves complex considerations, including health-related quality of life (HRQoL) and the dynamics of the therapeutic alliance.
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