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Investigating the trustworthiness of research evidence used to inform public health policy: a qualitative interview study on the use of predatory journal citations in policy documents.
Health Res Policy Syst
January 2025
Telfer School of Management, University of Ottawa, 55 Laurier Ave E, Ottawa, ON, K1N 6N5, Canada.
Evidence-based policymaking has increased policymakers' capacity to make scientifically informed health policy decisions. However, reaping the benefits of this approach requires avoiding untrustworthy research - potential sources of which are predatory journals. In this study, we sought to understand how research cited in policy documents is sourced and evaluated, and identify factors that may be contributing to the citation of predatory journals or other less trustworthy evidence.
View Article and Find Full Text PDFIntroduction: Long-term care (LTC) residents require extensive assistance with daily activities due to physical and cognitive impairments. Medical treatment for LTC residents, when not aligned with residents' wishes, can cause discomfort without providing substantial benefits. Predictive models can equip providers with tools to guide treatment recommendations that support person-centred medical decision-making.
View Article and Find Full Text PDFRecent advances in embryology have shown that the sister blastomeres of 2-cell mouse and human embryos differ reciprocally in potency. An open question is whether the blastomeres became different as opposed to originating as different. Here we wanted to test two conflicting models: one proposing that each blastomere contains both animal and vegetal materials in balanced proportions because the plane of first cleavage runs close to the animal-vegetal axis of the fertilized oocyte; and the other model proposing that each blastomere contains variable proportions of animal and vegetal materials because the plane of the first cleavage can vary depending on the topology of fertilization.
View Article and Find Full Text PDFIntegrating machine learning and structural dynamics to explore B-cell lymphoma-2 inhibitors for chronic lymphocytic leukemia therapy.
Mol Divers
January 2025
Department of Biotechnology, Deen Dayal, Upadhyay Gorakhpur University, Gorakhpur, India.
Chronic lymphocytic leukemia (CLL) is a malignancy caused by the overexpression of the anti-apoptotic protein B-cell lymphoma-2 (BCL-2), making it a critical therapeutic target. This study integrates computational screening, molecular docking, and molecular dynamics to identify and validate novel BCL-2 inhibitors from the ChEMBL database. Starting with 836 BCL-2 inhibitors, we performed ADME and Lipinski's Rule of Five (RO5) filtering, clustering, maximum common substructure (MCS) analysis, and machine learning models (Random Forest, SVM, and ANN), yielding a refined set of 124 compounds.
View Article and Find Full Text PDFNomogram for pre-procedural prediction of lymph node metastasis in patients with submucosal early gastric cancer.
Surg Endosc
January 2025
Department of Gastrointestinal Surgery, Northern Jiangsu People's Hospital, Clinical Teaching Hospital of Medical School, Nanjing University, 98 Nantong West Road, Yangzhou, 225001, Jiangsu, China.
Background: The treatment of early gastric cancer (EGC) is contingent upon the status of lymph node metastasis (LNM). Accurate preoperative prediction of LNM is critical for reducing unnecessary surgeries. This study seeks to evaluate the risk factors for LNM in submucosal EGC and develop a predictive model to optimize therapeutic decision-making.
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