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The patients were divided into three groups based on the main model of the da Vinci robotic surgical system to evaluate trends in surgical treatment strategies and outcomes after BABA RT.\n<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Of the 5,011 patients (4,706\u00a0malignant and 305 benign), the most common histological subtype was papillary thyroid carcinoma (<jats:italic>n<\/jats:italic>\u2009=\u20094,584; 97.4%). The mean tumor size significantly increased from 0.8\u00a0cm to 1.2\u00a0cm (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.05). The mean numbers of metastatic and harvested lymph nodes from the central neck dissection and the lateral neck dissection showed a significant difference and tendency to increase (from 0.9 to 1.6, 4.7 to 6.2, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.05, and from 0.6 to 3.9, 5.3 to 17.9, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.05), respectively, throughout the study period. Permanent hypoparathyroidism decreased from 3.4 to 2.9%. The rate of transient and permanent vocal cord palsy decreased from 15.2 to 2.7% and from 0.7 to 0.2%, respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>With advancements in robotic surgical systems and improvements in the BABA RT technique, surgical indications have expanded to include more advanced thyroid diseases, and surgical outcomes have improved over the last 14 years.<\/jats:p><\/jats:sec>","DOI":"10.1007\/s00268-022-06836-y","type":"journal-article","created":{"date-parts":[[2022,12,16]],"date-time":"2022-12-16T13:22:15Z","timestamp":1671196935000},"page":"403-411","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["A Time Trend Analysis of 5,000 Robotic Thyroidectomies via Bilateral Axillo\u2010Breast 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Hospital Seoul Republic of Korea"},{"name":"Department of Surgery Chungbuk National University Hospital Cheongju Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Su\u2010jin","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Surgery Seoul National University Hospital Seoul Republic of Korea"},{"name":"Department of Surgery Seoul National University College of Medicine Seoul Republic of Korea"},{"name":"Cancer Research Institute Seoul National University College of Medicine 101 Daehak\u2010Ro, Jongno\u2010Gu 03080 Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Young Jun","family":"Chai","sequence":"additional","affiliation":[{"name":"Department of Surgery Seoul National University College of Medicine Seoul Republic of Korea"},{"name":"Department of Surgery Seoul National University Boramae Medical Center Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"June Young","family":"Choi","sequence":"additional","affiliation":[{"name":"Department of Surgery Seoul National University Bundang Hospital 82, Gumi\u2010ro 173 Beon\u2010gil, Bundang\u2010gu Seongnam\u2010si Gyeonggi\u2010do Republic of Korea"},{"name":"Department of Surgery Seoul National University College of Medicine Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kyu Eun","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Surgery Seoul National University Hospital Seoul Republic of Korea"},{"name":"Department of Surgery Seoul National University College of Medicine Seoul Republic of Korea"},{"name":"Cancer Research Institute Seoul National University College of Medicine 101 Daehak\u2010Ro, Jongno\u2010Gu 03080 Seoul Republic of Korea"},{"name":"Medical Big Data Research Center, Institute of Medical and Biological Engineering Seoul National 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