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    Adherence to an Early Exercise Plan Promotes Visceral Fat Loss in the First Month Following Bariatric Surgery
    (Springer Science and Business Media LLC, 2025-02-14)
    Johanna Pino-Zuñiga
    ;
    Paloma Lillo-Urzua
    ;
    Mariela Olivares-Galvez
    ;
    Ana Palacio-Aguero
    ;
    Juan Camilo Duque
      3Scopus© Citations 2
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    Low-cost screening method for estimating inorganic arsenic in soil
    (Springer Science and Business Media LLC, 2025-02-19)
    Dan Walls
    ;
    Rodríguez María Delia
    ;
    Robert A. Root
    ;
    God’sgift N. Chukwuonye
    ;
    Zain Alabdain Alqattan
      10
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    Emergency Department Workflow Times of Intravenous Thrombolysis with Tenecteplase versus Alteplase in Acute Ischemic Stroke: A Prospective Cohort Study before and during the COVID-19 Pandemic
    (S. Karger AG, 2025-02-03)
    Matias Guzman
    ;
    ;
    Gabriel Cavada
    ;
    Alejandro M. Brunser
    ;
    Veronica V. Olavarria
    Introduction: Tenecteplase (TNK) has demonstrated to be non-inferior to alteplase (ALT) for intravenous thrombolysis (IVT) in acute ischemic stroke (AIS). There are potential workflow benefits associated with TNK use, aiming to reduce patient length of stay in the emergency department. Our aim was to investigate whether the routine use of TNK during the COVID-19 pandemic influenced workflow times compared to historical use of ALT, while maintaining non-inferior clinical outcomes in a non-drip and ship scenario of a comprehensive stroke center. Methods: We included patients with AIS admitted from September 2019 to September 2022 and compared those treated with TNK during the COVID-19 pandemic to those treated with ALT in the period immediately before. We compared emergency department length of stay (EDLOS), door-to-needle time (DTN), door-to-groin puncture time (DTG), clinical and safety outcomes with adjusted general linear regression models. Results: 110 patients treated with TNK and 111 with ALT were included in this study. Mean EDLOS was 251 (SD = 164) min for TNK users versus 240 (SD = 148) min for ALT (p = 0.62). Mean DTN was 43 (SD = 25) min for TNK versus 46 (SD = 27) min for ALT users (p = 0.39). Mean DTN under 60 min was achieved in 86 (78.2%) patients and in 85 (76.5%) patients of the TNK and ALT groups, respectively (p = 1.0). DTN under 45 min was achieved in 65.4% and 58.6% (p = 0.65) of the TNK and ALT groups, respectively. DTG time was 114 (SD = 43) min for TNK versus 111 (58 = SD) min in the ALT group (p = 0.88). DTG under 90 min was achieved in 32% of the TNK group and 35% of the ALT group (p = 0.69). There were no differences in any of the clinical or safety outcomes between groups at 90 days. Conclusions: The adoption of TNK during COVID-19 pandemic did not result in a change in EDLOS, DTN, or DTG times when compared to ALT in this cohort. Safety and clinical outcomes were similar between groups. Probably a greater benefit could have been seen in a drip and ship thrombolysis setting. Further research is needed to assess the potential advantages of TNK in drip and ship scenarios of IVT.
    Scopus© Citations 2  2
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    Early developmental screening tools constructed in Latin American countries: umbrella review
    (Publicidad Permanyer, SLU, 2025-04-09) ;
    Antonia Valdés
    ;
    Ilan Oppenheimer
    ;
    Antonio Rizzoli-Córdoba
    ;
    Rolando Rivera
      2Scopus© Citations 2
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      3Scopus© Citations 2
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    Developing and Validating an Automatic Support System for Tumor Coding in Pathology Reports in Spanish
    (American Society of Clinical Oncology (ASCO), 2025-02)
    Fabián Villena
    ;
    Pablo Báez
    ;
    Sergio Peñafiel
    ;
    Matías Rojas
    ;
    Inti Paredes
    Purpose Pathology reports provide valuable information for cancer registries to understand, plan, and implement strategies to mitigate the impact of cancer. However, coding essential information from unstructured reports is performed by experts in a time-consuming manual process. We developed and validated a novel two-step automatic coding system that first recognizes tumor morphology and topography mentions from free text and then suggests codes from the International Classification of Diseases for Oncology (ICD-O) in Spanish. Materials and Methods We created an annotated corpus of tumor morphology and topography mentions consisting of 1,101 documents. We combined it with the CANTEMIST corpus (Cancer Text Mining Shared Task). Specifically, we implemented a named entity recognition (NER) model using the bidirectional long short-term memory network-conditional random field architecture enhanced with a stacked embedding layer. We applied transfer learning from state-of-the-art pretrained language models to obtain high-quality contextual representations, thus improving the detection of entities. The mentions found using this model were subsequently oded using a search engine tailored to the ICD-O codes. Results Our NER models achieved an F1 score of 0.86 and 0.90 for tumor morphology and topography, respectively. The overall performance of our automatic coding system achieved an accuracy at five suggestions of 0.72 and 0.65 for tumor morphology and topography, respectively. Conclusion These results demonstrate the feasibility of implementing natural language processing tools in the routine of a cancer center to extract and code valuable information from pathology reports. Our recommender system allows reliable and transparent coding at the moment of consultation. This publication shares the annotated corpus in Spanish, annotation guidelines, and source code to reproduce our experiments.
    Scopus© Citations 3  1
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    Patterns of brain activity in choice or instructed go and no-go tasks
    (Springer Science and Business Media LLC, 2025-02-21)
    Sanaz Attaripour Isfahani
    ;
    Patrick McGurrin
    ;
    ;
    Mark Hallett
    The goal of this study was to investigate the decision making process for choosing what movements to make. We used electroencephalography (EEG) to investigate patterns of the contingent negative variation (CNV) associated with free-choice decisions to move or abstain, comparing them to conditions where actions were commanded. Our primary hypothesis was that choice tasks would differ significantly from each other and exhibit EEG patterns akin to their command-driven counterparts after the decisions were made, at least, in the 50 ms block of time prior to movement. A secondary analysis evaluated post hoc comparisons of time, in 50 ms blocks, to understand the temporal development of the CNV for each condition. We also conducted an exploratory analysis of EEG event-related desynchronization (ERD) to identify patterns of brain activity associated with the decision-making process. This approach was taken due to the exploratory nature of our hypotheses concerning the spatial and temporal characteristics of EEG activity during these free-choice versus commanded tasks. We studied 12 right-handed healthy volunteers (7 women, mean age 53 years, range 39–73 years) with no prior history of neurological or major psychiatric illness. A CNV paradigm encompassing commanded and choice tasks was devised, with a 2500 ms interval between S1 and S2, while recording EEG and electromyography (EMG). S1 provided full information about the upcoming task, which was to be executed at the time of S2. We assessed CNV and explored whole scalp EEG activity, including both voltage as well as power in the alpha and beta frequency ranges. Clear and similar CNVs were observed for command and choice go tasks prior to the movements, contrasting with near-zero CNVs for the command and choice no-go tasks. Separation of CNVs for command go and no-go tasks occurred around 1600 ms post-S1, and choice CNVs separated about 2150 ms post-S1. Exploratory analysis revealed that beta power provided information about decision and preparation processes much earlier. The left dorsolateral prefrontal cortex (DLPFC) exhibited the initial sign of decision approximately 500 ms post-S1 for all tasks, with subsequent preparation for movement or restraint involving distinct activity in various brain regions. The localization of effects in the left DLPFC was determined by visual analysis of the informative electrode sites. The CNVs separate about 2 s after S1, and it appears that this process represents preparation for movement (or no movement). Exploration of the beta activity suggests an earlier decision process which leads eventually to subsequent task preparation and activation. Choice decisions lag slightly behind command decisions, with the CNV apparently reflecting motor implementation rather than the decision-making process. In a simple motor task with an exploratory analysis, both commanded and choice-based decisions are rapidly initiated in the left DLPFC. While the CNV distinguishes between go and no-go conditions, it primarily appears to signify preparation for implementation of the task following the earlier decision. Further controlled studies will be needed to confirm these results.
    Scopus© Citations 3  1
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    Scopus© Citations 3  1
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    Evolución de la aplicación del concepto de integración curricular de simulación clínica: Una revisión con foco en el pregrado de carreras de salud
    (SciELO Agencia Nacional de Investigacion y Desarrollo (ANID), 2025-01)
    Francisca Torres Suazo
    ;
    Marco Bettancourt González
    ;
    Catalina Atuez Araya
    ;
    Matías Aravena González
    ;
    Yenny Plaza Órdenes
      1
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    Latin America Cutaneous Oncology Management (LACOM) I: The Role of Skin Care in Oncology Patients and Survivors
    (SanovaWorks, 2025-02-01)
    Daniel Alcalá Pérez
    ;
    Ana Sofia Acosta Madiedo
    ;
    Sebastian Andreani
    ;
    Anneke Andriessen
    ;
    Hebert Cárdenas
      2