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Background: The Anticholinergic Risk Scale and Total Anticholinergic Load were developed to assess the risks associated with anticholinergic drugs. Recently, the Japan Anticholinergic Risk Scale was introduced; however, the total anticholinergic load for adverse events has not been clarified, and the criteria for risk assessment in clinical practice have not been established. In this study, we used data from the Japanese Adverse Drug Event Report (JADER) database provided by the Pharmaceuticals and Medical Devices Agency to determine the total anticholinergic load associated with reported adverse events related to anticholinergic syndrome.

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An updated systematic review with meta-analysis and meta-regression of the factors associated with human visceral leishmaniasis in the Americas.

Infect Dis Poverty

January 2025

Universidade Federal de São João del Rei (UFSJ), Campus Centro-Oeste Dona Lindu, Avenida Sebastião Gonçalves Coelho 400, Chanadour, Divinópolis, MG, Brazil.

Background: Human visceral leishmaniasis (VL) is a systemic disease with high case-fatality rates and a widespread distribution. Continuous evaluation of the risk factors for VL is essential to ensure the effective implementation of prevention and control measures. The present study reviews the factors associated with VL in the Americas.

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Over recent years, the retina has been increasingly investigated as a potential biomarker for dementia. A number of studies have looked at the effect of Alzheimer's disease (AD) pathology on the retina and the associations of AD with visual deficits. However, while OCT-A has been explored as a biomarker of cerebral small vessel disease (cSVD), studies identifying the specific retinal changes and mechanisms associated with cSVD are lacking.

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A large set of antimalarial molecules (N ~ 15k) was employed from ChEMBL to build a robust random forest (RF) model for the prediction of antiplasmodial activity. Rather than depending on high throughput screening (HTS) data, molecules tested at multiple doses against blood stages of Plasmodium falciparum were used for model development. The open-access and code-free KNIME platform was used to develop a workflow to train the model on 80% of data (N ~ 12k).

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Background: Cardiac rhabdomyoma (RHM) is considered one of the most frequent benign heart tumors in children. However, encounters with cardiac RHM in clinical practice remain rare. Clinical information is primarily available in the form of single case reports or smaller studies with a shortage of large-scale reviews encompassing a substantial number of cases.

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