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  • Open Access

    ARTICLE

    Determination and assessing the role of serum calcium, vitamin D, ferritin, and uric acid levels on prostate cancer risk

    Abdulbari Bener1,2,*, Ünsal Veli Üstündağ3, Emir Barışık4, Cem Cahit Barışık5

    Canadian Journal of Urology, Vol.32, No.5, pp. 401-409, 2025, DOI:10.32604/cju.2025.067184 - 30 October 2025

    Abstract Objectives: The evidence remains insufficient and controversial for evaluating modifiable parameters—such as vitamin D, calcium, ferritin, and uric acid—as preclinical biomarkers to contribute to the prevention and early diagnosis of prostate cancer, a disease with a prevalence of up to 10%–20% in men over 50 and strongly associated with environmental factors including diet (high in fat and red meat), obesity, physical inactivity, and carcinogen exposure. This study aims to investigate the potential biomarker role of vitamin D, calcium, ferritin, and uric acids in reducing the risk of prostate cancer (PCa). Methods: The case-control design was… More >

  • Open Access

    ARTICLE

    Adjuvant Chemotherapy Necessity in Stage I Ovarian Endometrioid Carcinoma: A SEER-Based Study Verified by Single-Center Data and Meta-Analysis

    Liang Yu1,#, Mingrui Zhao1,#, Jinhui Liu2, Yuqin Yang1, Lin Zhang2, Wenjun Cheng2,*

    Oncology Research, Vol.33, No.10, pp. 3007-3022, 2025, DOI:10.32604/or.2025.065137 - 26 September 2025

    Abstract Background: The benefit of adjuvant chemotherapy for stage I ovarian endometrioid carcinoma (OEC) remains controversial. Hence, the study sought to explore its value in stage I OEC patients. Methods: Stage I OEC patients (1988–2018) were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Multivariate Cox analysis was used to control confounders. Logistic regression was used to explore factors associated with adjuvant chemotherapy. Cox regression analysis and Kaplan-Meier curves were used to assess the survival benefits. Single-center clinical data and meta-analysis following PRISMA guidelines provided external validation. Result: Adjuvant chemotherapy correlated with improved survival (Hazard… More >

  • Open Access

    ARTICLE

    Nationwide Trends in Congenital Heart Disease Surgery in Korea, 2002–2018: Volume, Age-Standardized Incidence, and Lesion-Based Case-Mix

    Jae Sung Son1, Soo-Jin Kim2,*

    Congenital Heart Disease, Vol.20, No.4, pp. 421-440, 2025, DOI:10.32604/chd.2025.070250 - 18 September 2025

    Abstract Background: Advancements in diagnostic tools, surgical techniques, and long-term management have significantly improved survival among individuals with congenital heart disease (CHD), leading to an evolving epidemiologic profile characterized by increasing procedural complexity and a growing adult CHD population. This study aimed to examine nationwide trends in CHD surgeries over a 17-year period, with a focus on temporal shifts in surgical volume, procedural complexity, and age-specific incidence. Methods: A total of 41,608 CHD surgeries and 85,417 surgical procedures performed between 2002 and 2018 were identified from a nationwide health insurance database. Temporal trends were evaluated using segmented… More >

  • Open Access

    ARTICLE

    Temporal and Regional Differences in Congenital Heart Surgery in China (2017–2022): Trends and Implications

    Zheng Guo1, Li Xie2, Ju Zhao3, Xing Hao3, Xiaotong Hou3, Wei Wang1,*

    Congenital Heart Disease, Vol.19, No.4, pp. 341-350, 2024, DOI:10.32604/chd.2024.057403 - 31 October 2024

    Abstract Background: With the decline of birth population and the development of medical technology in China, studies assessing how these changes have affected the adoption of congenital heart disease surgery at the national or regional scale are lacking. Methods: We investigated the status of congenital heart surgery in China in the period from 2017–2022, through investigation of the total rates of cardiac surgeries, cardiopulmonary bypass (CPB), adult congenital heart surgeries (CHS), and pediatric CHS (<18 years old), as recorded by the Extracorporeal Circulation Branch of the Chinese Society of Biomedical Engineering. Subsequently, we evaluated correlations between… More >

  • Open Access

    ARTICLE

    Epidemiological and clinical characteristics of lung cancer in Saudi Arabia: a retrospective study in single oncology center

    YOUSEF KATIB1,*, NASSER MULLA2

    Oncology Research, Vol.32, No.11, pp. 1803-1809, 2024, DOI:10.32604/or.2024.052358 - 16 October 2024

    Abstract Background: Lung cancer (LC) is one of the most common neoplastic diseases and a leading cause of death in Saudi Arabia. Its incidence in Saudi Arabia has increased by more than 3% within two decades. Our study aimed to describe the epidemiological and genetic landscapes of LC in Al-Madinah city in Saudi Arabia. Methods: A retrospective analysis was conducted on the medical records of 65 patients diagnosed with lung cancer between 2015 and 2021 at a single medical oncology center in Al-Madinah city of Saudi Arabia. Results: The mean patients’ age was 59.2 years, with 50… More >

  • Open Access

    ARTICLE

    Prostate cancer temporal and regional trends in Brazil

    MEHRSA JALALIZADEH1,#, HEVELINE RAYANE MOURA ROESCH1,#, FERNANDO KORKES2, QUOC DIEN-TRINH3, LEONARDO OLIVEIRA REIS1,4,*

    Oncology Research, Vol.32, No.10, pp. 1565-1573, 2024, DOI:10.32604/or.2024.052179 - 18 September 2024

    Abstract Objectives: The Brazilian Unified Health System (Sistema Único de Saúde−SUS) is the universal public healthcare system of Brazil that maintains a nationwide database of its patients. Our primary objective was to analyze regional and temporal trends, while our secondary goal was to establish correlations between states’ health economy status and their prostate cancer (PCa) epidemiology. Methods: We analyzed Brazil’s nationwide data on prostate cancer (PCa) incidence, mortality, and care gathered between 2013 and 2021 by the Information Technology Department of SUS (DATA-SUS), updated monthly using the International Classification of Diseases (ICD-10) code. Results: In the period,… More >

  • Open Access

    ARTICLE

    Fractal Fractional Order Operators in Computational Techniques for Mathematical Models in Epidemiology

    Muhammad Farman1,2,4, Ali Akgül3,9,*, Mir Sajjad Hashemi5, Liliana Guran6,7, Amelia Bucur8,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1385-1403, 2024, DOI:10.32604/cmes.2023.028803 - 17 November 2023

    Abstract New fractional operators, the COVID-19 model has been studied in this paper. By using different numerical techniques and the time fractional parameters, the mechanical characteristics of the fractional order model are identified. The uniqueness and existence have been established. The model’s Ulam-Hyers stability analysis has been found. In order to justify the theoretical results, numerical simulations are carried out for the presented method in the range of fractional order to show the implications of fractional and fractal orders. We applied very effective numerical techniques to obtain the solutions of the model and simulations. Also, we… More >

  • Open Access

    REVIEW

    Epidemiology of Breast Cancer

    Chao Shang, Dongkui Xu*

    Oncologie, Vol.24, No.4, pp. 649-663, 2022, DOI:10.32604/oncologie.2022.027640 - 31 December 2022

    Abstract All over the world, the most common malignancy in women is breast cancer. Breast cancer is also a significant factor of death in women. In 2020, approximately 2.3 million cases of breast cancer were newly diagnosed in women globally, and approximately 685,000 people died. Breast cancer incidence varies by region around the world, but it is all increasing. According to the current morbidity and mortality trend of breast cancer, it is estimated that by 2030, the number of incidence and deaths of breast cancer will reach 2.64 million and 1.7 million, respectively. The age-standardized incidence… More >

  • Open Access

    ARTICLE

    Optimal Kernel Extreme Learning Machine for COVID-19 Classification on Epidemiology Dataset

    Saud S. Alotaibi1, Amal Al-Rasheed2, Sami Althahabi3, Manar Ahmed Hamza4,*, Abdullah Mohamed5, Abu Sarwar Zamani4, Abdelwahed Motwakel4, Mohamed I. Eldesouki6

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3305-3318, 2022, DOI:10.32604/cmc.2022.029385 - 16 June 2022

    Abstract Artificial Intelligence (AI) encompasses various domains such as Machine Learning (ML), Deep Learning (DL), and other cognitive technologies which have been widely applied in healthcare sector. AI models are utilized in healthcare sector in which the machines are used to investigate and make decisions based on prediction and classification of input data. With this motivation, the current study involves the design of Metaheuristic Optimization with Kernel Extreme Learning Machine for COVID-19 Prediction Model on Epidemiology Dataset, named MOKELM-CPED technique. The primary aim of the presented MOKELM-CPED model is to accomplish effectual COVID-19 classification outcomes using… More >

  • Open Access

    ARTICLE

    Stability Analysis of Predator-Prey System with Consuming Resource and Disease in Predator Species

    Asad Ejaz1, Yasir Nawaz1, Muhammad Shoaib Arif1,3,*, Daoud S. Mashat2, Kamaleldin Abodayeh3

    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 489-506, 2022, DOI:10.32604/cmes.2022.019440 - 15 June 2022

    Abstract The present study is concerned with formulating a predator-prey eco-epidemiological mathematical model assuming that an infection exists in the predator species. The two classes of predator species (susceptible and infected) compete for the same sources available in the environment with the predation option. It is assumed that the disease does not spread vertically. The proposed model is analyzed for the stability of the coexistence of the predators and prey. The fixed points are carried out, and the coexisting fixed point is studied in detail by constructing the Lyapunov function. The movement of species in search… More >

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