Showing 4,001 - 4,020 results of 6,836 for search 'epidemology~', query time: 3.64s Refine Results
  1. 4001

    Survival and prognostic factors among different types of liposarcomas based on SEER database by Jiaqi Zhao, WenLi Du, XiaoLiang Tao, AiAi Li, Yi Li, Shuai Zhang

    Published 2025-01-01
    “…Abstract The aim of this study is to elucidate the disparities in survival and risk factors among different subtypes of liposarcoma, through analysis of epidemiological and prognostic data. The study cohort consisted of 12,822 patients diagnosed with liposarcoma in the United States between 2000 and 2021, whose data were retrieved from the Surveillance, Epidemiology, and End Results (SEER) program. …”
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  2. 4002

    Nomogram prediction of overall survival in breast cancer patients post-surgery: integrating SEER database and multi-center evidence from China by Yufen Zheng, Yuan Yuan, Minya Jin, Chunlong Wu

    Published 2025-01-01
    “…This study aims to construct and validate a comprehensive nomogram integrating multiple clinicopathological features to predict OS more accurately in breast cancer patients.MethodsWe identified 60,445 .female patients who underwent breast cancer surgery between January 1, 2011, and December 31, 2015, from the Surveillance, Epidemiology, and End Results (SEER) database, randomly divided into training and internal validation cohorts. …”
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  3. 4003
  4. 4004

    Factors Related to Significant Improvement of Estimated Glomerular Filtration Rates in Chronic Hepatitis B Patients Receiving Telbivudine Therapy by Te-Fu Lin, Ping-I Hsu, Kung-Hung Lin, Feng-Woei Tsay, Tzung-Jiun Tsai, Yan-Hua Chen, Hsien-Chung Yu

    Published 2017-01-01
    “…Serial eGFRs were calculated every 3 months using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. The patients were classified as CKD-1, -2, or -3 according to a baseline eGFR of ≥90, 60–89, or <60 mL/min/1.73 m2, respectively. …”
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    Evolving prognostic paradigms in lung adenocarcinoma with brain metastases: a web-based predictive model enhanced by machine learning by Min Liang, Zhiwen Zhang, Langming Wu, Mafeng Chen, Shifan Tan, Jian Huang

    Published 2025-02-01
    “…Methods The study cohort comprised LUAD patients with BM identified from the surveillance, epidemiology, and end results database between 2000 and 2018. …”
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  8. 4008

    Impact of Mediterranean Diet Adherence on the Incidence of New‐Onset Hypertension in Adults With Obesity in Korea: A Nationwide Cohort Study by Jung‐Hwan Kim, Ji‐Won Lee, Yaeji Lee, Chung‐Mo Nam, Yu‐Jin Kwon

    Published 2025-01-01
    “…We used data from the Korean Genome and Epidemiology Study, a population‐based prospective cohort study. …”
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  9. 4009
  10. 4010

    Multiplex Community Detection in Social Networks Using a Chaos-Based Hybrid Evolutionary Approach by Bagher Zarei, Bahman Arasteh, Mehdi Asadi, Vahid Majidnezhad, Saeid Taghavi Afshord, Asgarali Bouyer

    Published 2024-01-01
    “…This knowledge is valuable across various disciplines like marketing, management, epidemiology, homeland security, and psychology. An essential task within network analysis is deciphering the structure of complex networks including technological, informational, biological, and social networks. …”
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  11. 4011

    Acute Kidney Injury Caused by Obstructive Nephropathy by Jonathan S Chávez-Iñiguez, Goretty J Navarro-Gallardo, Ramón Medina-González, Luz Alcantar-Vallin, Guillermo García-García

    Published 2020-01-01
    “…In this review, we report the epidemiology, incidence, pathophysiological mechanisms, diagnosis, and treatment of acute kidney injury due to obstructive nephropathy.…”
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  17. 4017

    The diagnostic performance evaluation of the SD BIOLINE HIV/syphilis Duo rapid test in southern Ethiopia: a cross-sectional study by Techalew Shimelis, Endale Tadesse

    Published 2015-04-01
    “…Sera were originally collected for the purpose of investigating syphilis epidemiology. The performance of the test to detect HIV was evaluated using 400 sera (200 HIV positives and 200 HIV negatives). …”
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  18. 4018
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  20. 4020

    Machine learning insights into early mortality risks for small cell lung cancer patients post-chemotherapy by Min Liang, Min Liang, Fuyuan Luo

    Published 2025-01-01
    “…This study aimed to quantify the 90-day mortality rate post-chemotherapy in SCLC patients, identify associated features, and develop a predictive machine learning model.MethodsThis study utilized data from the Surveillance, Epidemiology, and End Results (SEER) database (2000–2018) to identify prognostic features influencing early mortality in SCLC patients. …”
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