Publications by authors named "Ri-Li-Ge Wu"
Article Synopsis
- The text refers to a correction made to a specific article with the DOI 10.3389/fpubh.2023.1136939.
- The correction likely addresses errors or inaccuracies found in the original publication.
- Such corrections are important for maintaining the integrity and reliability of academic research.
Bibliometric and visual analysis of machine learning-based research in acute kidney injury worldwide.
Front Public Health
April 2023
Background: Acute 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 technology, the detection rate and treatment of AKI have been greatly improved. At present, there are many studies in this field, and a large number of articles have been published, but we do not know much about the quality of research production in this field, as well as the focus and trend of current research.
View Article and Find Full Text PDFBackground: The studies of laparoscopic-assisted transhiatal gastrectomy (LTG) in patients with Siewert type II adenocarcinoma of the esophagogastric junction (AEG) are scarce.
Aim: To compare the surgical efficiency of LTG with the open transhiatal gastrectomy (OTG) for patients with Siewert type II AEG.
Methods: We retrospectively evaluated a total of 578 patients with Siewert type II AEG who have undergone LTG or OTG at the First Medical Center of the Chinese People's Liberation Army General Hospital from January 2014 to December 2019.