Publications by authors named "M N Chowdhury"

Background: Disease modifying therapies (DMTs) for Alzheimer's disease (AD) have been approved in some countries although these treatments will require substantial health resources for their implementation. Initial capacity planning to identify the resources required to support DMTs begins with estimating the number of people with dementia who may be eligible for DMTs. We estimated the potential number of individuals with dementia who are eligible for DMTs using population-based data in Alberta, Canada.

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Background: Potential disease modifying therapies (DMT) for Alzheimer's disease (AD) may become available in Canada although it is unclear what percentage of people presenting to tertiary care memory programs may require beta-amyloid testing be eligible for these treatments. We evaluated eligibility for potential DMTs among individuals in the Prospective Registry for Persons with Memory Symptoms (PROMPT) dementia research registry, comprising patients seen in a tertiary care cognitive clinic in Calgary, Alberta, Canada, based on cognitive criteria, medical history, and potential diagnosis of AD on clinical criteria.

Method: We analyzed all individuals included in the PROMPT registry from July 2010 to May 2023 who were diagnosed with either mild cognitive impairment (MCI) or possible or probable dementia at their baseline assessment.

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Background: The overuse of antipsychotics in persons with dementia in long-term care (LTC) has been a source of clinical concern, public attention, and policy intervention for over 30 years. Targeted quality improvement, broader awareness of risks, and other initiatives have resulted in substantial reductions in antipsychotic use in LTC settings in North America and elsewhere. Limited evidence suggests that reductions in antipsychotic use may be resulting in unintended consequences, such as substitution with alternate, but similarly harmful, psychotropic medications.

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  • Small cell lung cancer (SCLC) is a highly aggressive cancer with poor survival rates, and current diagnostic methods are invasive and limited.
  • This study introduces a new machine learning technique that uses metabolomics data to distinguish between SCLC, non-small cell lung cancer (NSCLC), and healthy individuals, achieving high accuracy in classification.
  • Key metabolites were identified as important predictors, and the stacking ensemble model effectively combines different classifiers, providing a promising non-invasive alternative for early lung cancer detection.
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  • The study investigates how career self-efficacy influences career intentions, focusing on the roles of person-environment fit and career attitudes as mediators.
  • Using survey data from 341 job seekers in Bangladesh, the researchers found that both mediators partially and fully mediate the relationship between self-efficacy and career intentions.
  • The findings offer insights for career counselors and HR managers, enhancing their understanding of how self-efficacy impacts job-seeking behaviors in a competitive environment.
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