Unlabelled: The prevalence of deaths from cervical cancer (CC) in the word was around 350.000 in the last 5 years, indicating the need to analyze the potential causality and current management approaches. This study aimed to evaluate the level of knowledge regarding CC, including its risk factors, signs and symptoms and early detection methods, as well as the awareness and attitude of participants toward the screening tests.
Methods: This cross-sectional study was conducted between August and October of 2023 in a representative sample of 18-59 years old Armenian women. Data were generated using structured interviews with self-administered questionnaire and adopted from similar studies and translated into Armenian.
Results: Majority of the survey respondents demonstrated moderate awareness about the risk factors, signs and symptoms of the condition. The poorest knowledge regarding the preventive colposcopy screening method of CC was observed. Comparison of demographic characteristics of participants and their awareness regarding the inquired topics revealed evident relationship between the disease rate and studied variables. A strong relationship was observed between the awareness of CC risk factors and CC symptoms of the disease and age groups, residency, number of children, insurance and employment status, level of education and level of income.
Conclusion: The short period of the survey and a fast track of data analysis with independent variables has revealed the region-specific current rates for the assessed variables and their relationship. The study added more facts to the existing body of knowledge about the implementation strategies and limitations of CC screening programs.
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Sci Rep
December 2024
School of Engineering and Technology, Sunway University, No. 5, Jalan Universiti, Bandar Sunway, Petaling Jaya, 47500, Selangor Darul Ehsan, Malaysia.
Cervical cancer is a deadly disease in women globally. There is a greater chance of getting rid of cervical cancer in case of earliest diagnosis. But for some patients, there is a chance of recurrence.
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December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
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December 2024
Department of Ophthalmology, China Medical University Hospital, China Medical University, Taichung, Taiwan.
To investigate for the risk of uveitis among such patients. A retrospective cohort study utilized the TriNetX database and recruited pediatric autoimmune patients diagnosed between January 1st 2004 and December 31st 2022. The non-autoimmune cohort were randomly selected control patients matched by sex, age, and index year.
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December 2024
State Key Laboratory of Frigid Zone Cardiovascular Disease, Cardiovascular Research Institute, Department of Cardiology, General Hospital of Northern Theater Command, Shenyang, 110016, China.
The triglyceride to high density lipoprotein cholesterol (TG/HDL-C) ratio has been consistently linked with the risk of coronary heart disease (CHD). Nevertheless, there is a paucity of studies focusing on acute coronary syndrome (ACS) patients undergoing percutaneous coronary intervention (PCI) or experiencing bleeding events. The study encompassed 17,643 ACS participants who underwent PCI.
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December 2024
Department of Medical and Surgical Sciences, Institute of Cardiology, University of Bologna, Policlinico S.Orsola-Malpighi, via Massarenti 9, Bologna, 40138, Italy.
Cardiac implantable electronic devices infections (CIEDI) are associated with poor survival despite the improvement in transvenous lead extraction (TLE). Aetiology and systemic involvement are driving factors of clinical outcomes. The aim of this study was to explore their contribute on overall mortality.
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