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http://dx.doi.org/10.1016/s0140-6736(12)61280-x | DOI Listing |
Int J STD AIDS
January 2025
Department of Public Health, Ankara University Faculty of Medicine, Ankara, Türkiye.
Background: Pregnant women living with HIV are known to be at higher risk of depression than pregnant women without HIV. Accompanied by a systematic literature review, the aim of this study was to determine the global prevalence of depression in pregnant women living with HIV.
Methods: PubMed, Scopus, Google Scholar and Web of Science databases were searched.
Neuroradiol J
January 2025
Department of Neurology, Neurosurgery & Radiology, University of Iowa Hospitals and Clinics, USA.
Background: The Woven EndoBridge 17 (WEB-17) is the latest advancement in the WEB device family. Comprehensive data on its occlusion rates, procedural complications, and mortality is lacking. This meta-analysis aimed to evaluate the efficacy and safety of the WEB-17 device in intracranial aneurysms (IAs).
View Article and Find Full Text PDFIntegr Cancer Ther
January 2025
National Centre for Radiation Research and Technology, Egyptian Atomic Energy Authority, Cairo, Egypt.
Objectives: Hepatocellular carcinoma (HCC) represents the third-most prevalent cancer in humans worldwide. The current study's objective is to search for the potentiality of H. Wendl () leaf extract in a nanoemulsion (NE) form in enhancing radiotherapy against HCC induced in rats using diethylnitrosamine (DEN).
View Article and Find Full Text PDFSAGE Open Nurs
January 2025
Arbel Geriatric Center - Moria Group, Petah Tikva, Israel.
Background: Geriatric nurses provide end-of-life care based on the five pillars of aging. This systematic review assesses the emotions and feelings of geriatric nurses during end-of-life care. It considers the prevalence, triggers, and intensity of emotional responses among geriatric nurses.
View Article and Find Full Text PDFDigit Health
January 2025
Department of Journalism and Communications, Joongbu University, Gyeonggi-do, South Korea.
Objective: The COVID-19 outbreak has significantly impacted human lifestyles and life patterns. Therefore, data related to human social life may tell us the increase or decrease in the number of confirmed COVID-19 cases. However, although the number of confirmed cases is affected by social life, it is difficult to find studies that attempt to predict the number of confirmed cases using various lifestyle data.
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