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http://dx.doi.org/10.1016/0049-3848(77)90033-0 | DOI Listing |
Am J Physiol Cell Physiol
January 2025
Department of Pharmaceutical Sciences, School of Pharmacy, College of Health and Human Sciences, North Dakota State University, Fargo, ND, USA.
Intra-abdominal sepsis is a life-threatening complex syndrome caused by microbes in the gut microbiota invading the peritoneal cavity. It is one of the major complications of intra-abdominal surgery. To date, only supportive therapies are available.
View Article and Find Full Text PDFInt J Mol Sci
September 2024
Institute of Molecular Pathogenesis, Friedrich-Loeffler-Institut, 07743 Jena, Germany.
Goats are natural hosts of , and affected herds can be the cause of significant economic losses. Similarites in disease course and lesions of infections in goats and in humans make goats good models for human tuberculosis. The aim of this investigation was to characterize challenge models in goats.
View Article and Find Full Text PDFInt J Biol Macromol
November 2024
Biomaterials Engineering Department, Faculty of Medical Sciences and Technology, Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran.
Neurorehabil Neural Repair
May 2024
Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1226, F-75014 Paris, France.
Background: Knowing how impaired manual dexterity and finger proprioception affect upper limb activity capacity is important for delineating targeted post-stroke interventions for upper limb recovery.
Objectives: To investigate whether impaired manual dexterity and finger proprioception explain variance in post-stroke activity capacity, and whether they explain more variance than conventional clinical assessments of upper limb sensorimotor impairments.
Methods: Activity capacity and hand sensorimotor impairments were assessed using clinical measures in N = 42 late subacute/chronic hemiparetic stroke patients.
JCO Clin Cancer Inform
September 2023
Walter Reed National Military Medical Center, Bethesda, MD.
Purpose: Real-world data (RWD) are pervasive in oncology research and offer insights into clinical trends and patient outcomes. However, RWD have shortcomings, making them prone to pitfalls during survival analyses. The American Society of Clinical Oncology (ASCO) CancerLinQ Discovery (CLQD) multiple myeloma (MM) data set was used to demonstrate some common pitfalls when analyzing survival from RWD: using incorrect surrogate markers for missing data and/or classification errors, ignoring deaths at time zero, and failing to account for guarantee-time bias.
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