Background: The objective of this research is to evaluate the efficacy and safety of drugs in the residual risk in any of its three components: lipid, inflammatory and thrombotic risk.
Methods: A systematic review was conducted of randomized clinical trials that included as a primary outcome, at least one of the conditions related to atherosclerotic cardiovascular disease. The databases used were PUBMED/MEDLINE, Scopus and ClinicalTrials.gov. The risk of bias of the studies was assessed using the Risk of Bias 2 tool.
Results: and discussion: 18 studies were included in the analysis. Half of the studies had low risk of bias or some concerns. Several drugs were effective in reducing the primary outcome: ethyl eicosapentaenoeic acid (17.2 % E-EPA versus 22 % placebo HR: 0.75; 95 % CI 0.68-0.83; p < 0.001), colchicine in stable coronary artery disease (6.8 % vs placebo 9.6 %, HR 0.59, 95 % CI 0.57-0.83; p < 0.001), Canakinumab (150 mg vs placebo ARR 15 %, HR 0.85, 95 % CI 0.74-0.98; p = 0.021) and Rivaroxaban with Aspirin in stable atherosclerotic disease (4.1 % versus aspirin 5.4 %, HR 0.76, 95 % CI 0.66-0.86, P < 0.001). Serious adverse events did not differ between study groups, except for a higher rate of bleeding with the use of combination antithrombotic therapy.
Conclusion: The residual risk can be reduced through the use of different drugs that act by modifying atherogenic lipid levels, modulating inflammatory pathways and the risk of thrombosis, with an acceptable safety profile in most studies.
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http://dx.doi.org/10.1016/j.ijcrp.2024.200298 | DOI Listing |
Int J Hyg Environ Health
January 2025
Department of Disease Control, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Introduction: Behaviour change interventions have the potential to improve sanitation and hygiene practices in urban settings. However, evidence on which behaviour change interventions have successfully improved sanitation and hygiene practices in urban settings is unclear.
Methods: We performed electronic searches across five databases and one grey literature database to identify relevant studies published between January 1, 1990 and November 20, 2023 in English.
Int J Surg
January 2025
Department of Surgical Oncology, Fourth Affiliated Hospital of China Medical University.
Background: Several autoimmune diseases (ADs) are considered risk factors for gastrointestinal (GI) cancers. This study pooled and appraised the evidence associating ADs to GI cancer risks.
Methods: Three databases were examined from initiation through 26 January 2024.
Aust N Z J Psychiatry
January 2025
Centre for Mental Health, Swinburne University of Technology, Melbourne, VIC, Australia.
Objective: Neurocognitive underpinnings are implicated in the aetiology and maintenance of body dysmorphic disorder (BDD); however, inconsistent findings across a range of neurocognitive domains suggest that a comprehensive synthesis of the literature using a hierarchical framework of neurocognition is needed.
Methods: A final search across OVID Medline, PsycNET, Scopus and Web of Science databases was conducted on 20 June 2024 to identify research that examined performance on behavioural tasks of objective neurocognition in BDD. Risk of bias was assessed using the Newcastle-Ottawa Scale.
EClinicalMedicine
October 2024
Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Unity Health Toronto, Toronto, ON M5B 1W8, Canada.
Background: Use of health applications (apps) to support healthy lifestyles has intensified. Different app features may support effectiveness, including gamification defined as the use of game elements in a non-game situation. Whether health apps with gamification can impact behaviour change and cardiometabolic risk factors remains unknown.
View Article and Find Full Text PDFHum Reprod Open
November 2024
Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Study Question: How accurately can artificial intelligence (AI) models predict sperm retrieval in non-obstructive azoospermia (NOA) patients undergoing micro-testicular sperm extraction (m-TESE) surgery?
Summary Answer: AI predictive models hold significant promise in predicting successful sperm retrieval in NOA patients undergoing m-TESE, although limitations regarding variability of study designs, small sample sizes, and a lack of validation studies restrict the overall generalizability of studies in this area.
What Is Known Already: Previous studies have explored various predictors of successful sperm retrieval in m-TESE, including clinical and hormonal factors. However, no consistent predictive model has yet been established.
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