摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-外科新研究-减肥外科是一篇报道的主题。根据NewsRx记者在英国彼得伯勒的新闻报道，研究表明，“机器人Roux-en-Y Gast Ric旁路(RRYGB)是传统腹腔镜APPR蟑螂的创新替代方案。已经发表了研究其安全性/有效性的文献；然而，报道质量不确定。”新闻记者引用了彼得伯勒Cit Y Hospital的研究，“本系统回顾使用了Idea、开发、探索、评估和长期随访(IDEAL)框架来评估现有文献的报道质量。制定了叙述性总结，评估了综合治理/伦理、患者选择、人口统计学、外科医生专家选择/培训。”报告了技术描述和结果。纳入了2005年至2024年发表的47项研究。关于治理/伦理、患者选择、外科医生专家/培训和技术描述的报告不完整/不完整，结果报告不一致。RRYGB报告不佳，与理想指导不一致。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Surgery - Bariatric Su rgery is the subject of a report. According to news reporting from Peterborough, United Kingdom, by NewsRx journalists, research stated, “Robotic Roux-en-Y gast ric bypass (RRYGB) is an innovative alternative to traditional laparoscopic appr oaches. Literature has been published investigating its safety/efficacy; however , the quality of reporting is uncertain.” The news correspondents obtained a quote from the research from Peterborough Cit y Hospital, “This systematic review used the Idea, Development, Exploration, Ass essment and Long-term followup (IDEAL) framework to assess the reporting qualit y of available literature. A narrative summary was formulated, assessing how com prehensively governance/ethics, patient selection, demographics, surgeon experti se/training, technique description and outcomes were reported. Forty-seven studi es published between 2005 and 2024 were included. There was incomplete/inconsist ent reporting of governance/ethics, patient selection, surgeon expertise/trainin g and technique description, with heterogenous outcome reporting. RRYGB reportin g was poor and did not align with IDEAL guidance.”
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