Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Rilige Wu"'
Autor:
Chongyou Rao, Qin Zhong, Rilige Wu, Zongren Li, Yongjie Duan, You Zhou, Chi Wang, Xu Chen, Ruiqing Wang, Kunlun He
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Patients with diabetes mellitus (DM) caused by obesity have increased in recent years. The impact of obesity on long-term outcomes in patients undergoing percutaneous coronary intervention (PCI) with or without DM remains unclear.
Externí odkaz:
https://doaj.org/article/93b1e1d8004a4fe2b3df632f6b034c23
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
Externí odkaz:
https://doaj.org/article/7b87e4a78da04e359938e02d6ef895c1
Publikováno v:
PeerJ, Vol 12, p e17417 (2024)
Background Osteoarthritis (OA) is a degenerative disease requiring additional research. This study compared gene expression and immune infiltration between lesioned and preserved subchondral bone. The results were validated using multiple tissue data
Externí odkaz:
https://doaj.org/article/368efae8100b44558b738821caa22539
Autor:
Yongjie Duan, Zongren Li, Qin Zhong, Chongyou Rao, Yun Hua, Rilige Wu, Jing Dong, Da Li, Wenjun Wang, Kunlun He
Publikováno v:
Systematic Reviews, Vol 12, Iss 1, Pp 1-9 (2023)
Abstract Background A large number of studies have provided a variety of heart failure management program (HF-MP) intervention modes. It is generally believed that HF-MP is effective, but the question of which type of program works best, what level o
Externí odkaz:
https://doaj.org/article/670b3880fb704419a4c37600afa215f2
Publikováno v:
Chinese Medical Journal, Vol 136, Iss 2, Pp 159-166 (2023)
Abstract. Background:. Colorectal cancer (CRC) screening is effective in reducing CRC incidence and mortality. The aim of this study was to retrospectively determine and compare the detection rate of adenomas, advanced adenomas (AAs) and CRCs, and th
Externí odkaz:
https://doaj.org/article/a0b9763bed8d40b6bb20f73afa9bee0a
Autor:
Ming-Su Ji, Rilige Wu, Zhe Feng, Yuan-Da Wang, Yong Wang, Li Zhang, Xue-Feng Sun, Xiang-Mei Chen, Kun-Lun He, Guang-Yan Cai
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Immune checkpoint inhibitors (ICIs) change the prognosis of many cancer patients. With the increasing use of ICIs, immune-related adverse events are occurring, including acute kidney injury (AKI). This study aimed to assess the incidence of
Externí odkaz:
https://doaj.org/article/90ad13bec7fa417fae8c5da4eec9bc77
Bibliometric and visual analysis of machine learning-based research in acute kidney injury worldwide
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
BackgroundAcute kidney injury (AKI) is a serious clinical complication associated with adverse short-term and long-term outcomes. In recent years, with the rapid popularization of electronic health records and artificial intelligence machine learning
Externí odkaz:
https://doaj.org/article/82fcda80911345fdb68abcd26d499aaf
Autor:
Huitao Wu MS, Junyan Zhang MS, Li Fu PhD, Rilige Wu MS, Zhenyang Gu PhD, Chengliang Yin PhD, Kunlun He PhD
Publikováno v:
Technology in Cancer Research & Treatment, Vol 22 (2023)
Background: Diffuse large B-cell lymphoma (DLBCL) is a well-differentiated disease, which makes the diagnosis and therapeutic strategy a difficult problem. While ferroptosis, as an iron-dependent form of regulated cell death, it plays an important ro
Externí odkaz:
https://doaj.org/article/f0fda497356a470b977d12a59767c935
Autor:
Yu Jiang, Yan Luo, Houchen Lyu, Yi Li, Yuan Gao, Xiaojie Fu, Huan Wu, Rilige Wu, Pengbin Yin, Licheng Zhang, Peifu Tang
Publikováno v:
Orthopaedic Surgery, Vol 13, Iss 6, Pp 1890-1898 (2021)
Objective To describe the secular trends in comorbidities and postoperative complications of geriatric hip fracture patients from the Chinese People's Liberation Army General Hospital Hip Fracture Cohort between 2000 and 2019. Methods We included 2,8
Externí odkaz:
https://doaj.org/article/1b68c9621f9a4218aa6ad75f5b137c19
Autor:
Wenle Li, Genyang Jin, Huitao Wu, Rilige Wu, Chan Xu, Bing Wang, Qiang Liu, Zhaohui Hu, Haosheng Wang, Shengtao Dong, Zhi-Ri Tang, Haiwen Peng, Wei Zhao, Chengliang Yin
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
BackgroundCurrently, the clinical prediction model for patients with osteosarcoma was almost developed from single-center data, lacking external validation. Due to their low reliability and low predictive power, there were few clinical applications.
Externí odkaz:
https://doaj.org/article/ae596021e2994e6fa4f4353889e8e954