Výsledky vyhledávání - "Szmulewicz A"

Akademický článek

Prevalence of central nervous system-active polypharmacy in a cohort of older adults in Argentina

Autor: Augusto Ferraris, Federico Angriman, Tomas Barrera, Paula Penizzotto, Sol Faerman, Washington Rivadeneira, Alan Chiessa, Gaspar Mura, Javier Alberto Pollán, Alejandro G. Szmulewicz

Publikováno v: BJPsych Open, Vol 10 (2024)

Background Central nervous system (CNS)-active polypharmacy is frequent and potentially harmful in older patients. Data on its burden outside the USA and European countries remain limited. Aims To estimate the period prevalence of and factors associ

Externí odkaz: https://doaj.org/article/3db7e337bdbf48b69625e73f7f5e25a0

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Akademický článek

Interdisciplinary Simulation Courses to Train Residents on Communication of Unexpected Complications from Perioperative Care: A Randomized Comparison of Within-Event (Microdebriefing) and Postscenario Debriefing

Autor: Szmulewicz, Claire ^*, Rouby, Pascal, Boyer, Caroline ^*, Benhamou, Dan, Capmas, Perrine ^*

Publikováno v: In Journal of Surgical Education June 2024 81(6):858-865

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Akademický článek

Melancholic features and treatment outcome to selective serotonin reuptake inhibitors in major depressive disorder: A re-analysis of the STAR*D trial

Autor: Szmulewicz, Alejandro, Valerio, Marina P., Lomastro, Julieta, Martino, Diego J.

Publikováno v: In Journal of Affective Disorders 15 February 2024 347:101-107

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Akademický článek

Making causal inferences from transactional data: A narrative review of opportunities and challenges when implementing the target trial framework

Autor: Santiago Esteban, Alejandro Szmulewicz

Publikováno v: Journal of International Medical Research, Vol 52 (2024)

The target trial framework has emerged as a powerful tool for addressing causal questions in clinical practice and in public health. In the healthcare sector, where decision-making is increasingly data-driven, transactional databases, such as electro

Externí odkaz: https://doaj.org/article/2bba48d20fcb416b80651adc58a136d3

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Akademický článek

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Akademický článek

Interrater Reliability of the Scale for the Assessment and Rating of Ataxia, Berg Balance Scale, and Functional Independence Measure Motor Domain in Individuals With Hereditary Cerebellar Ataxia

Autor: Milne, Sarah C., Roberts, Melissa, Ross, Hannah L., Robinson, Amy, Grove, Kristen, Modderman, Gabrielle, Williams, Shannon, Chua, Jillian, Grootendorst, Alison C., Massey, Libby, Szmulewicz, David J., Delatycki, Martin B., Corben, Louise A.

Publikováno v: In Archives of Physical Medicine and Rehabilitation October 2023 104(10):1646-1651

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Akademický článek

Bilateral vestibulopathy: a clinical update and proposed diagnostic algorithm

Autor: Lisa van Stiphout, David J. Szmulewicz, Nils Guinand, Angélica Pérez Fornos, Vincent Van Rompaey, Raymond van de Berg

Publikováno v: Frontiers in Neurology, Vol 14 (2023)

Bilateral vestibulopathy (BVP) is characterized by its heterogeneous and chronic nature with various clinical presentations and multiple etiologies. This current narrative review reflects on the main insights and developments regarding clinical prese

Externí odkaz: https://doaj.org/article/e1d785ece14e44c6a5f9d3f61d09bf06

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Akademický článek

Clinical characteristics and outcomes of people with severe mental disorders hospitalized due to COVID-19: A nationwide population-based study

Autor: López-Cuadrado, Teresa, Szmulewicz, Alejandro, Öngür, Dost, Martínez-Alés, Gonzalo

Publikováno v: In General Hospital Psychiatry September-October 2023 84:234-240

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Akademický článek

Machine Learning-Based Scoring System to Predict the Risk and Severity of Ataxic Speech Using Different Speech Tasks

Autor: Bipasha Kashyap, Pubudu N. Pathirana, Malcolm Horne, Laura Power, David J. Szmulewicz

Publikováno v: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 4839-4850 (2023)

The assessment of speech in Cerebellar Ataxia (CA) is time-consuming and requires clinical interpretation. In this study, we introduce a fully automated objective algorithm that uses significant acoustic features from time, spectral, cepstral, and no

Externí odkaz: https://doaj.org/article/2a91b7da244744b6a7f64fd9b136a3eb

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