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Spatial and temporal changes of breast-conserving surgery rates and its influential factors among Chinese patients with breast cancer from 2013 to 2019: a registry-based study
Published 2025-02-01“…Objective Our study aims to evaluate the spatial and temporal changes of breast-conserving surgery (BCS) rates and influential factors of BCS in Guangdong Province, China.Design, setting and participants This registry-based cohort study analysed the data of patients of all age groups, from the medical record cover page, which was mandatorily collected for inpatients by the Health Administrative Department of Guangdong Province, China. …”
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Influence of Shunt Branch on the Current Limiting and Recovery Performance of Variable Resistance SFCL
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Prognostic Value of Inflammatory and Nutritional Indicators in Non-Metastatic Soft Tissue Sarcomas
Published 2025-02-01“…Yuan Yan,1– 3,* Yunhui Zhang,1– 3,* Yonghan Chen,1– 3,* Guoqing Zhong,2,3 Wenhan Huang,2,3 Yu Zhang1– 3 1School of Medicine, South China University of Technology, Guangzhou, Guangdong, People’s Republic of China; 2Department of Orthopaedics Oncology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, People’s Republic of China; 3School of Materials Science and Engineering (National Engineering Research Center for Tissue Restoration and Reconstruction), South China University of Technology, Guangzhou, Guangdong, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yu Zhang; Wenhan Huang, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Zhongshan 2nd Road, Guangzhou, Guangdong, People’s Republic of China, Email luck_2001@126.com; wenhanx@126.comBackground: Soft tissue sarcoma (STS) has lacked reliable prognostic indicators. …”
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Evaluation of Changes in Protein, Amino Acids, and Flavor during Mixed Fermentation of Chicken and Soybean
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Dexamethasone-Activated MSCs Release MVs for Stimulating Osteogenic Response
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Artificial intelligence-based prediction of second stage duration in labor: a multicenter retrospective cohort analysisResearch in context
Published 2025-02-01“…We aimed to develop a personalized machine learning (ML) model to predict the possible second-stage duration. …”
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