Publications by authors named "M Ramesha Bhat"

Background And Objective: Lyme disease, caused by , presents major health challenges worldwide, leading to serious neurological and musculoskeletal issues that impact patients' lives and healthcare systems. This systematic review and meta-analysis aim to determine the prevalence and link between Lyme disease and these complications, aiming to enhance clinical and public health approaches.

Methods: We systematically searched PubMed, EMBASE, and Web of Science up until April 01, 2024, to find studies reporting the prevalence and severity of neurological and musculoskeletal complications associated with Lyme disease.

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Microcystic adnexal carcinoma (MAC) is a rare, slow-growing, locally aggressive malignant, and recurring appendageal tumor. Prolonged UV exposure, immunosuppression, and radiotherapy are a few frequently associated risk factors. MAC classically presents as an asymptomatic skin coloured plaque on the face.

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Nuclear factor-κB (NF-κB) cell signaling pathway is essential for the progression and development of numerous human disorders, including cancer. NF-κB signaling pathway regulates a wide range of physiological processes, such as cell survival, growth, and migration. Deregulated NF-kB signaling resulted in unregulated cell proliferation, viability, movement, and invasion, thus promoting tumor development.

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Cancer during pregnancy is uncommon. Symptoms caused by new cancers in pregnancy can be difficult to recognise leading to a delay in diagnosis and treatment. Ovarian cancer during pregnancy poses a further diagnostic challenge due to the vague symptoms that it can present, along with difficulty in the interpretation of tumour markers.

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Survival analysis is critical in many fields, particularly in healthcare where it can guide medical decisions. Conventional survival analysis methods like Kaplan-Meier and Cox proportional hazards models to generate survival curves indicating probability of survival v. time have limitations, especially for long-term prediction, due to assumptions that all instances follow a general population-level survival curve.

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