The welfare and protection of human subjects is critical to the integrity of clinical investigation and research. Institutional review boards (IRBs) were thus set up to be impartial reviewers of research protocols in clinical research. Their main role is to stand between the investigator and her human subjects in order to ensure that the welfare of human subjects are protected. While there is much literature on the conflicts of interest (CIs) faced by investigators and researchers in clinical investigations, an area that is less explored is CIs that may affect members of IRBs during the institutional ethics review of clinical investigations. This article examines the notion of CIs in clinical research and attempts to develop a framework for a clearer and more balanced approach to identifying CIs that may influence members of IRBs and impede their independence. It will also apply the proposed framework to demonstrate how IRBs possess, or at least may appear to possess, forms of financial CIs and non-financial CIs. The proper identification and management of these CIs is critical to preserving the integrity of clinical investigations and achieving the primary aim of human subjects protection.
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http://dx.doi.org/10.1007/s11017-015-9339-3 | DOI Listing |
J Magn Reson Imaging
January 2025
Department of Radiology, Ålesund Hospital, Møre og Romsdal Hospital Trust, Ålesund, Norway.
Background: Deep learning-based segmentation of brain metastases relies on large amounts of fully annotated data by domain experts. Semi-supervised learning offers potential efficient methods to improve model performance without excessive annotation burden.
Purpose: This work tests the viability of semi-supervision for brain metastases segmentation.
J Magn Reson Imaging
January 2025
Department of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Background: Central arterial stiffening is associated with brain white matter (WM) damage and gray matter (GM) volume loss in older adults, but little is known about this association from an adult lifespan perspective.
Purpose: To investigate the associations of central arterial stiffness with WM microstructural organization, WM lesion load, cortical thickness, and GM volume in healthy adults across the lifespan.
Study Type: This is a cross-sectional study.
Crit Care Med
December 2024
Department of Psychiatry and Human Behavior, Brown University, Alpert Medical School, Providence, RI.
Objectives: Neurocritically ill patients are at high risk for developing delirium, which can worsen the long-term outcomes of this vulnerable population. However, existing delirium assessment tools do not account for neurologic deficits that often interfere with conventional testing and are therefore unreliable in neurocritically ill patients. We aimed to determine the accuracy and predictive validity of the Fluctuating Mental Status Evaluation (FMSE), a novel delirium screening tool developed specifically for neurocritically ill patients.
View Article and Find Full Text PDFJ Diet Suppl
January 2025
Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy.
Background: Several epidemiological studies and intervention trials have demonstrated that grapes and blueberries, which are rich in flavanols, can lower the risk of cardiovascular disease. However, the mechanisms of action of these compounds remain unclear due to their low bioavailability.
Objective: This study aimed to characterize the sensory properties, blood flow velocity, and oxidative stress of a polyphenol rich grape and blueberry extract (PEGB) containing approximately 16% flavanols (11% monomers and 4% dimers).
Esophagus
January 2025
Department of Surgery, Tohoku University Graduate School of Medicine, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan.
Background: Neoadjuvant chemotherapy is standard for advanced esophageal squamous cell carcinoma, though often ineffective. Therefore, predicting the response to chemotherapy before treatment is desirable. However, there is currently no established method for predicting response to neoadjuvant chemotherapy.
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