Publications by authors named "Marius Biris"
Objective: Recurrent bacterial vaginosis (RBV) after antibiotic treatment has relapse rates of 35% within 3 months and 60% within 12 months. A medical device containing polycarbophil, lauryl glucoside, and glycerides (PLGG) inhibits bacterial growth and has mucoadhesive properties. This study examined the efficacy of the device in women with RBV.
View Article and Find Full Text PDFThis study aims to investigate the association between anemia and early recurrence in endometrial cancer patients. We retrospectively analyzed the data of 473 endometrial cancer patients treated at our hospital from January 2015 to December 2020. Patients were divided into two groups based on their hemoglobin (Hb) level: anemia group (Hb < 12 g/dL) and non-anemia group (Hb ≥12 g/dL).
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- A study conducted in Romania from 2020 to 2022 examined the impacts of the COVID-19 pandemic on contraceptive awareness and mental well-being among young women aged 15-25, focusing on those with histories of pregnancy.
- Results indicated a significant increase in contraceptive knowledge from 52% in 2020 to 68% in 2022, leading to improved mental health scores and a better quality of life.
- Participants with higher contraceptive awareness exhibited reduced symptoms of anxiety and depression, as evidenced by lower GAD-7 and PHQ-9 scores, and there were notable improvements in quality of life measures across various scales during the study period.
Background: The medical literature has reported that recurrent bacterial vaginosis (RBV) has a relapse rate of 35% within 3 months and 60% within 12 months after antibiotic administration. Products that are able to provide a barrier effect against the biofilm produced by Gardnerella vaginalis could play a role in improving the results of bacterial vaginosis (BV) treatment.
Objective: This study aims to assess the performance and safety of a medical device (Polybactum) containing polycarbophil, lauryl glucoside, and glycerides (PLGG) for reducing the rate of recurrence of BV.
Article Synopsis
- The systematic review investigates the effectiveness of AI and machine learning (ML) algorithms in detecting lung cancer, compiling data from numerous studies published until December 2022.
- Nine studies are reviewed, showing that various ML architectures such as artificial neural networks and support vector machines yield high sensitivity (0.81 to 0.99) and accuracy (77.8% to 100%) in distinguishing between malignant and benign lesions.
- The review emphasizes the promising potential of ML AI in lung cancer detection but calls for further research to refine these algorithms and assess their practical use in clinical settings.
Postpartum depression is a major mental health disorder that can negatively affect both mother and baby. In addition, the COVID-19 pandemic associated with extreme measures of the lockdown had profound effects on humanity, increasing the rates of anxiety and depression, especially among women in the postpartum period. The aim of this study was threefold: to determine the prevalence of postpartum depression, to compare the prevalence of postpartum depression at two different times during the COVID-19 pandemic, and to assess a possible association between the timing of childbirth in a given period of the pandemic and the risk of postpartum depression.
View Article and Find Full Text PDFBackground: The effectiveness of a new vaginal medical device, which contains polycarbophil, 0.04% lauryl glucoside and glycerides (Polybactum, Effik Italia Spa, Cinisello Balsamo, Milan, Italy), in reducing BV recurrence rate was investigated.
Methods: This was a multicenter, open label, not comparative study.