Xiao‐Xing Song
Papers
1
Total Citations
4
H-Index
1
About
Xiao-Xing Song is a clinical researcher specializing in anesthesiology and perioperative medicine, with a particular focus on the physiological impacts of surgical techniques. Her key research areas include the effects of pneumoperitoneum pressure during robot-assisted surgeries, especially in the Trendelenburg position, and its implications for myocardial injury and patient outcomes. Song’s most notable contribution is her work on a randomized controlled trial protocol comparing low-pressure versus standard-pressure pneumoperitoneum in robot-assisted urologic surgeries, such as radical prostatectomy and cystectomy. This study, published in 2016, has garnered 4 citations and addresses a critical gap in understanding how intra-abdominal pressure affects cardiac function during prolonged procedures. By investigating myocardial injury markers, Song’s research provides valuable insights into optimizing surgical conditions to reduce cardiovascular risks, a significant concern in minimally invasive surgery. Her work underscores a commitment to evidence-based improvements in perioperative care, making her a key figure in advancing safer anesthetic and surgical practices for complex robotic procedures.
Research Focus
Key Achievements
Top Papers
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