Publications by authors named "M K Sidhu"

Approximately 40% of individuals undergoing anterior temporal lobe resection for temporal lobe epilepsy experience episodic memory decline. There has been a focus on early memory network changes; longer-term plasticity and its impact on memory function are unclear. Our study investigates neural mechanisms of memory recovery and network plasticity over nearly a decade post-surgery.

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Background: In patients with diabetes and multivessel coronary artery disease, percutaneous coronary intervention (PCI) has been associated with higher long-term cardiovascular mortality compared to coronary artery bypass grafting (CABG), but the specific causes of death are not well known. We aimed to determine the causes of death among patients with diabetes and multivessel disease undergoing coronary revascularization with PCI versus CABG.

Methods: We analyzed the centrally adjudicated causes of death of 1,900 participants in the FREEDOM trial.

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Aim: To demonstrate how workshop and mentoring across a network of radiotherapy centers helped in transitioning from point A to volume-based image guided brachytherapy in carcinoma cervix.

Materials And Methods: Based on discussion with different centers across the network, the lapses in cervical cancer treatment were identified and a workshop was designed to change the practice pattern. The main focus of the workshop was to streamline EBRT dose prescription protocols and implement volume based image guided brachytherapy through mentoring and hands on training.

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Background And Objectives: Mesial temporal lobe epilepsy (mTLE) is generally associated with focal brain atrophy, but little knowledge exists on possible disease-related hypertrophy of brain structures. We hypothesized that repeated seizures or adaptive plasticity may lead to focal brain hypertrophy and aimed to investigate associated clinical correlates.

Methods: In this cohort study, we included patients with mTLE undergoing detailed epilepsy evaluations and matched healthy volunteers (HVs) from 2 tertiary centers (discovery and validation cohorts).

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Background: Numerous tools based on electronic health record (EHR) data that predict risk of unscheduled care and mortality exist. These are often criticised due to lack of external validation, potential for low predictive ability and the use of thresholds that can lead to large numbers being escalated for assessment that would not have an adverse outcome leading to unsuccessful active case management. Evidence supports the importance of clinical judgement in risk prediction particularly when ruling out disease.

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