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Updated: Aug 31, 2026
DeepOmicsAE: Representing Signaling Modules in Alzheimer's Disease with Deep Learning Analysis of Proteomics, Metabolomics, and Clinical Data
Published on: December 15, 2023
Comparative effectiveness of multiple interventions for Alzheimer's disease on ABC syndromes and QoL: A Bayesian
Fujia Gao1, Guangxin Luo2, Bokuan Liu1
1Key Laboratory of Dementia and Cognitive Dysfunction, School of Public Health, North China University of Science and Technology, International Science and Technology Cooperation Base of Geriatric Medicine, Hebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, North China University of Science and Technology, Tangshan, Hebei 063210, China.
Abstract:
Evidence comparing directly pharmacological and non-pharmacological treatments for Alzheimer's disease (AD) is scarce. The ABC symptoms-activities of daily living (ADLs) (A), behavioral and psychological symptoms (BPSs) (B), cognitive function (C), and quality of life (QoL)-are critical for diagnosing and assessing treatment effects in AD. This study aims to evaluate five interventions for AD: pharmacological therapy (PT), photobiomodulation (PBM), cognitive therapy (CT), exercise therapy (ET), and repetitive transcranial magnetic stimulation (rTMS) using a Bayesian network meta-analysis approach. Among 6,450 records screened, 91 randomized controlled trials (RCTs) involving 12,242 participants met the inclusion criteria. PBM and rTMS showed significant benefits for cognitive function in AD patients. PT and CT showed notable effectiveness in enhancing activities of daily living. For QoL, CT and ET were identified as more favorable outcomes. Collectively, each intervention exerts unique merits targeting ABC symptoms and QoL, implying combined pharmacological and non-pharmacological regimens could optimize therapeutic gains for AD management.
