ArticleInternational journal of environmental research and public health2023
Medication Assessment in an Older Population during Acute Care Hospitalization and Its Effect on the Anticholinergic Burden: A Prospective Cohort Study.
Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.
- Deprescribing Anticholinergic Medications in Hospitalised Older Adults: A Systematic Review.Basic & clinical pharmacology & toxicology · 2025Pooled it
- Anticholinergic and sedative medications use among community dwelling older adults: risk for polypharmacy and poor physical function.BMC geriatrics · 2025Article
- Impact of cumulative exposure to anticholinergic and sedative drugs on cognition in older adults: a memory clinic cohort study.Alzheimer's research & therapy · 2024Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
(1) Background: Anticholinergic and sedative drugs (ASDs) contribute to negative health outcomes, especially in the frail population. In this study, we aimed to assess whether frailty increases with anticholinergic burden and to evaluate the effects of medication reviews (MRs) on ASD regimens among patients attending an acute care for the elderly (ACE) unit. (2) Methods: A cohort study was conducted between June 2019 and October 2020 with 150 consecutive patients admitted to our ACE unit. Demographic, clinical, and pharmacological data were assessed. Frailty score was determined using the Frail-VIG index (FI-VIG), and ASD burden was quantified using the drug burden index (DBI). In addition, the MR was performed using the patient-centered prescription (PCP) model. We used a paired T-test to compare the DBI pre- and post-MR and univariate and multivariate regression to identify the factors associated with frailty. (3) Results: Overall, 85.6% (
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