Publications by authors named "Shangchen Song"
Background: Mild cognitive impairment (MCI) patients are at a high risk of developing Alzheimer's disease and related dementias (ADRD) at an estimated annual rate above 10%. It is clinically and practically important to accurately predict MCI-to-dementia conversion time.
Objective: It is clinically and practically important to accurately predict MCI-to-dementia conversion time by using easily available clinical data.
Background: A global shift to bivalent mRNA vaccines is ongoing to counterbalance the diminishing effectiveness of the original monovalent vaccines due to the evolution of SARS-CoV-2 variants, yet substantial variation in the bivalent vaccine effectiveness (VE) exists across studies and a complete picture is lacking.
Methods: We searched papers evaluating absolute or relative effectiveness of SARS-CoV-2 BA.1 type or BA.
Background: Assessing the risk of developing clinical Alzheimer's disease (AD) dementia, by machine learning survival analysis approaches, among participants registered in Alzheimer's Disease Centers is important for AD dementia management.
Objective: To construct a prediction model for the onset time of clinical AD dementia using the National Alzheimer Coordinating Center (NACC) and the Alzheimer's Disease Neuroimaging Initiative (ADNI) registered cohorts.
Methods: A model was constructed using the Random Survival Forest (RSF) approach and internally and externally validated on the NACC cohort and the ADNI cohort.
Background: A rapidly growing body was observed of literature evaluating the vaccine effectiveness (VE) against Omicron in test-negative design studies.
Methods: We systematically searched papers that evaluated VE of SARS-CoV-2 vaccines on PubMed, Web of Science, Cochrane Library, Google Scholar, Embase, Scopus, bioRxiv, and medRxiv published from November 26th, 2021, to June 27th, 2022 (full doses and the first booster), and to January 8th, 2023 (the second booster). The pooled VE against Omicron-associated infection and severe events were estimated.
Background: Dementia is one of the top causes of death worldwide, but individuals with dementia and their caregivers report that knowing what to expect, including regarding approaching end of life, is an unmet need.
Objective: To identify predictors of death in individuals with Alzheimer disease (AD) dementia, Lewy body dementia (LBD), vascular dementia, and frontotemporal dementia.
Methods: The study used data from National Alzheimer's Coordinating Center participants with dementia and an etiologic diagnosis of AD, Lewy body disease, frontotemporal lobar degeneration (FTLD, with or without motor neuron disease), or vascular dementia.