This paper presents the benefit-risk assessment of adding plant sterols to margarine as an illustration of the QALIBRA method and software. With the QALIBRA tool health effects, risks as well as benefits are expressed in a common metric (DALY) which allows quantitative balancing of benefits and risks of food intake. The QALIBRA software can handle uncertainties in a probabilistic simulation. This simple case study illustrates the data need and assumptions that go into a quantitative benefit-risk assessment. The assessment shows that the benefits of plant sterols added to margarine outweigh the risks, if any.
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http://dx.doi.org/10.1016/j.fct.2012.08.054 | DOI Listing |
Am J Cancer Res
December 2024
Department of Hematology, Cancer Hospital Affiliated to Shanxi Medical University/Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences Taiyuan 030013, Shanxi, China.
Objective: To analyze the clinical characteristics and molecular biomarkers of adult T-cell lymphoblastic lymphoma (T-LBL) to identify prognostic factors, and to evaluate the efficacy of different chemotherapy regimens, providing a basis for optimizing treatment strategies for T-LBL.
Methods: A total of 89 Patients aged 18-72 years with T-LBL, confirmed via histopathological examination of lymph nodes, extranodal tissues, or bone marrow, were retrospectively included. Clinical data, treatment details, and mutational profiles were collected.
Am J Cancer Res
December 2024
Department of Critical Care Medicine, South China Hospital of Shenzhen University Shenzhen 518100, Guangdong, PR China.
This study investigated the predictive value of combining peripheral blood indicators with procalcitonin clearance rate (PCTc) to assess mortality risk in cancer patients with sepsis, aiming to develop a more sensitive and specific clinical tool. A retrospective analysis was conducted on 393 cancer patients with sepsis admitted to South China Hospital of Shenzhen University from January 2019 to January 2024. Collected data included clinical demographics, laboratory indicators such as white blood cell count, neutrophil count (NEUT), platelet count (PLT), lymphocyte count (LYC), C-reactive protein, procalcitonin (PCT), alanine aminotransferase, and the ratio of arterial oxygen partial pressure to inspired oxygen fraction, as well as functional scores like Acute Physiology and Chronic Health Evaluation II (APACHE II) and Sequential Organ Failure Assessment.
View Article and Find Full Text PDFHeart Rhythm O2
December 2024
Pfizer Inc, New York, New York.
Background: Prediction models for atrial fibrillation (AF) may enable earlier detection and guideline-directed treatment decisions. However, model bias may lead to inaccurate predictions and unintended consequences.
Objective: The purpose of this study was to validate, assess bias, and improve generalizability of "UNAFIED-10," a 2-year, 10-variable predictive model of undiagnosed AF in a national data set (originally developed using the Indiana Network for Patient Care regional data).
J Mol Cell Cardiol Plus
September 2024
National Research Center for Preventive Medicine (NRCPM), Petroverigsky, 10, building 3, Moscow 101990, Russia.
Background And Aims: Cadherins are adhesion proteins, and their dysregulation may result in the development of atherosclerosis, plaque rupture, or lesions of the vascular wall. The aim of the present study was to detect the associations of cadherins-P, -E, and -H, with atherosclerosis and pathological cardiovascular conditions.
Methods And Results: The present study with 3-year follow up evaluated atherosclerosis and fasting levels of P-, E-, and H-cadherins in the serum samples of 214 patients in a hospital setting.
Taiwan J Ophthalmol
December 2024
Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Wide field retinal imaging has emerged as a transformative technology over the last few decades, revolutionizing our ability to visualize the intricate landscape of the retina. By capturing expansive retinal areas, these techniques offer a panoramic view going beyond traditional imaging methods. In this review, we explore the significance of retinal imaging-based biomarkers to help diagnose ocular and systemic conditions.
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