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Patel NM, Patel PH, Yeung KTD, Monk D, Mohammadi B, Mughal M, Bhogal RH, Allum W, Abbassi-Ghadi N, Kumar S. Is Robotic Surgery the Future for Resectable Esophageal Cancer?: A Systematic Literature Review of Oncological and Clinical Outcomes. Ann Surg Oncol 2024; 31:4281-4297. [PMID: 38480565 PMCID: PMC11164768 DOI: 10.1245/s10434-024-15148-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 02/19/2024] [Indexed: 06/13/2024]
Abstract
BACKGROUND Radical esophagectomy for resectable esophageal cancer is a major surgical intervention, associated with considerable postoperative morbidity. The introduction of robotic surgical platforms in esophagectomy may enhance advantages of minimally invasive surgery enabled by laparoscopy and thoracoscopy, including reduced postoperative pain and pulmonary complications. This systematic review aims to assess the clinical and oncological benefits of robot-assisted esophagectomy. METHODS A systematic literature search of the MEDLINE (PubMed), Embase and Cochrane databases was performed for studies published up to 1 August 2023. This review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocols and was registered in the PROSPERO database (CRD42022370983). Clinical and oncological outcomes data were extracted following full-text review of eligible studies. RESULTS A total of 113 studies (n = 14,701 patients, n = 2455 female) were included. The majority of the studies were retrospective in nature (n = 89, 79%), and cohort studies were the most common type of study design (n = 88, 79%). The median number of patients per study was 54. Sixty-three studies reported using a robotic surgical platform for both the abdominal and thoracic phases of the procedure. The weighted mean incidence of postoperative pneumonia was 11%, anastomotic leak 10%, total length of hospitalisation 15.2 days, and a resection margin clear of the tumour was achieved in 95% of cases. CONCLUSIONS There are numerous reported advantages of robot-assisted surgery for resectable esophageal cancer. A correlation between procedural volume and improvements in outcomes with robotic esophagectomy has also been identified. Multicentre comparative clinical studies are essential to identify the true objective benefit on outcomes compared with conventional surgical approaches before robotic surgery is accepted as standard of practice.
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Affiliation(s)
- Nikhil Manish Patel
- Department of Upper GI Surgery, The Royal Marsden NHS Foundation Trust, London, UK
- The Upper Gastrointestinal Surgical Oncology Research Group, The Institute of Cancer Research, London, UK
| | - Pranav Harshad Patel
- Department of Upper GI Surgery, The Royal Marsden NHS Foundation Trust, London, UK
- The Upper Gastrointestinal Surgical Oncology Research Group, The Institute of Cancer Research, London, UK
| | - Kai Tai Derek Yeung
- Department of Upper GI Surgery, The Royal Marsden NHS Foundation Trust, London, UK
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - David Monk
- Department of Upper Gastrointestinal Surgery, Digestive Disease and Surgery Institute, Cleveland Clinic London Hospital, London, UK
| | - Borzoueh Mohammadi
- Department of Upper Gastrointestinal Surgery, Digestive Disease and Surgery Institute, Cleveland Clinic London Hospital, London, UK
| | - Muntzer Mughal
- Department of Upper Gastrointestinal Surgery, Digestive Disease and Surgery Institute, Cleveland Clinic London Hospital, London, UK
| | - Ricky Harminder Bhogal
- Department of Upper GI Surgery, The Royal Marsden NHS Foundation Trust, London, UK
- The Upper Gastrointestinal Surgical Oncology Research Group, The Institute of Cancer Research, London, UK
| | - William Allum
- Department of Upper GI Surgery, The Royal Marsden NHS Foundation Trust, London, UK
| | - Nima Abbassi-Ghadi
- Department of Upper GI Surgery, Royal Surrey NHS Foundation Trust, Guildford, Surrey, UK
| | - Sacheen Kumar
- Department of Upper GI Surgery, The Royal Marsden NHS Foundation Trust, London, UK.
- The Upper Gastrointestinal Surgical Oncology Research Group, The Institute of Cancer Research, London, UK.
- Department of Upper Gastrointestinal Surgery, Digestive Disease and Surgery Institute, Cleveland Clinic London Hospital, London, UK.
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Wu Q, Pei H, Ran X, Chen X, Jiang L, Wei A, Xiang X, Wang Y, Gan X. Qualitative Study on the Information Needs of Patients Undergoing Da Vinci Robotic Surgery. Clin Nurs Res 2023; 32:433-440. [PMID: 35699515 DOI: 10.1177/10547738221103337] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
To explore the information needs and experiences of patients who underwent Da Vinci robotic surgery and to establish a reference for providing information support to these patients. Semi-structured interviews were conducted with 11 patients who underwent robotic surgery. Thematic analysis was subsequently executed on the data obtained from the interviews to identify the themes. Thematic analysis generated two main themes with six supporting sub-themes. The main themes were (1) surgical information acquisition experience and (2) the need for personalization to obtain satisfactory information. Patients who received Da Vinci robotic surgery had insufficient understanding of the surgical methods and possessed high demand for surgical-related information. Although patients' understanding of robotic surgery might be improved through multi-channel information support, due to the differences in patient access to information, personalized experiences would occur during this process. Professional information support could effectively enhance their positive psychological experiences with surgery.
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Affiliation(s)
- Qiuping Wu
- Department of Cardiology, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Haoyu Pei
- Department of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, China
| | - Xiaoli Ran
- Department of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, China
| | - Xian Chen
- Department of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, China
| | - Limei Jiang
- Department of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, China
| | - Aihua Wei
- Department of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, China
| | - Xing Xiang
- Department of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, China
| | - Yaling Wang
- Department of Nursing, Daping Hospital, Army Medical University, Chongqing, China
| | - Xiaoqin Gan
- Department of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, China
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