| Literature DB >> 35494020 |
Jianyong Zhang1, Qingbo Feng2, Yanruo Huang3, Lanwei Ouyang4, Fengming Luo1,5.
Abstract
Objectives: Robot-assisted thoracic surgery (RATS) and video-assisted thoracic surgery (VATS) are the two principal minimally invasive surgical approaches for patients with lung cancer. This study aimed at comparing the long-term and short-term outcomes of RATS and VATS for lung cancer.Entities:
Keywords: lung cancer; meta-analysis; robot-assisted thoracic surgery; systematic review; video-assisted thoracic surgery
Year: 2022 PMID: 35494020 PMCID: PMC9039645 DOI: 10.3389/fonc.2022.853530
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 5.738
Figure 1Flowchart of study identification and selection.
The main characteristics and NOS of the included studies.
| First author, year | Country | Type | Period | Arms | NP(number of patients) | Number of segmentectomies | Age, median, y | Male/female | BMI (kg/m2) | Newcastle–Ottawa Scale (score) | Outcome |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jang 2011 ( | Korea | RS | 2006–2009 | RATS | 40 | NA | 64.2 ± 9.9 | 23/17 | NA | 7 | (1) (2) (3) (4) (5) (7) (9) (10) |
| VATS | 40 | NA | 59.6 ± 10.1 | 24/16 | NA | ||||||
| Deen 2014 ( | USA | RS | 2008–2012 | RATS | 57 | NA | 68 | 19/38 | NA | 7 | (1) (4) (7) |
| VATS | 58 | NA | 65 | 21/37 | NA | ||||||
| Lee 2015 ( | USA | RS | 2009–2014 | RATS | 53 | NA | 71 (52–85) | 30/23 | 26.5 (20–43) | 8 | (1) (5) (7) (9) |
| VATS | 158 | NA | 72 (43–88) | 56/102 | 26.3 (17–47) | ||||||
| Mungo 2016 ( | USA | RS | 2007–2014 | RATS | 53 | 6 | 66 (60–71) | NA | 26.7 (23.1–30.9) | 7 | (3) (4) (6) (7) (9) (13) |
| VATS | 80 | 1 | 67.5 (62-74) | NA | 26.0 (24.2–28.1) | ||||||
| Bao 2016 ( | China | PSM | 2014–2015 | RATS | 69 | 7 | 58.6 ± 8.8 | 26/43 | NA | 7 | (1) (2) (4) (5) (6) (7) (9) (10) |
| VATS | 69 | 7 | 59.9 ± 9.7 | 22/47 | NA | ||||||
| Jeffrey 2016 ( | USA | PSM | 2010–2012 | RATS | 1,938 | NA | 68 (61–74) | 839/1099 | NA | 9 | (3) (5) (7) (8) |
| VATS | 1,938 | NA | 69 (62–74) | 859/1079 | NA | ||||||
| Yang 2017 ( | USA | RS, PSM | 2002–2012 | RATS | 172 | NA | 68.0 (10.2) | 98/74 | NA | 8 | (3) (4) (7) (8) (9) (10) (11) (12) (13) |
| VATS | 141 | NA | 67.5 (10.0) | 88/53 | NA | ||||||
| Li 2019 ( | China | RS | 2014–2017 | RATS | 36 | NA | 57.2 ± 8.9 | 17/19 | NA | 8 | (1) (3) (5) (6) (7) (8) (9) (10) (13) |
| VATS | 85 | NA | 59.7 ± 8.8 | 38/47 | NA | ||||||
| Merritt 2019 ( | USA | RS | 2014–2018 | RATS | 114 | NA | 64.82 ± 11.35 | 46/68 | NA | 7 | (1) (3) (4) (5) (7) (8) (9) |
| VATS | 114 | NA | 62.52 ± 10.65 | 49/65 | NA | ||||||
| LiJT 2019 ( | China | RS | 2013–2016 | RATS | 230 | NA | 55.6 ± 10.2 | 76/154 | NA | 7 | (1) (3) (4) (5) (6) (7) (9) (10) |
| VATS | 230 | NA | 56.0 ± 9.7 | 80/150 | NA | ||||||
| Nelson 2019 ( | USA | RS | 2011–2017 | RATS | 106 | NA | 67 ± 10 | NA | NA | 8 | (1) (2) (3) (7) (8) |
| VATS | 301 | NA | 66 ± 9 | NA | NA | ||||||
| Huang 2019 ( | USA | RS | 2010–2015 | RATS | 61 | 4 | 67 (31–85) | 27/34 | NA | 7 | (3) (4) (6) (7) (9) |
| VATS | 105 | 4 | 67 (40–91) | 58/47 | NA | ||||||
| Hennon 2019 ( | USA | RS | 2010–2014 | RATS | 5,470 | NA | 66.8 (9.8) | 2,421/3049 | NA | 7 | (3) (7) (9) (11) |
| VATS | 17,545 | NA | 66.6 (10.2) | 7,696/9849 | NA | ||||||
| Veluswamy 2020 ( | USA | RS | 2008–2013 | RATS | 338 | NA | 73.0 (8.0) | 148/190 | NA | 9 | (1) (4) (6) |
| VATS | 1,230 | NA | 72.0 (7.0) | 542/688 | NA | ||||||
| Qiu 2020 ( | China | RS | 2012–2017 | RATS | 49 | NA | NA | NA | NA | 7 | (1) (2) (6) (7) (9) |
| VATS | 73 | NA | NA | NA | NA | ||||||
| Zhou 2020 ( | China | RS | 2011–2018 | RATS | 50 | 50 | 54.7 ± 10.3 | 15/35 | 23.7 ± 3.6 | 9 | (1) (2) (4) (5) (6) (7) (9) (11) (12) (13) |
| VATS | 80 | 80 | 57.7 ± 9.7 | 26/54 | 23.7 ± 2.8 | ||||||
| Haruki 2020 ( | Japan | RS, PSM | 2011–2018 | RATS | 49 | NA | 70 ± 12 | 24/28 | 23.8 ± 3.5 | 8 | (1) (2) (4) (5) (6) (12) (13) |
| VATS | 49 | NA | 68 ± 11 | 24/25 | 23.5 ± 4.6 | ||||||
| Zhang 2020 ( | China | RS | 2015–2019 | RATS | 257 | 257 | 53.53 ± 10.96 | 84/173 | 23.13 ± 2.71 | 7 | (1) (3) (4) (5) (6) (7) (8) |
| VATS | 257 | 257 | 52.21 ± 11.89 | 89/168 | 23.02 ± 3.88 | ||||||
| Sesti 2020 ( | USA | RS, PSM | 2008–2013 | RATS | 409 | NA | 73 (65–91) | 188/221 | NA | 8 | (5) (7) |
| VATS | 409 | NA | 74 (65–88) | 176/233 | NA | ||||||
| Williams 2020 ( | USA | RS | 2014–2018 | RATS | 80 | NA | 66 ± 1.2 | 37/43 | 28.3 ± 0.8 | 8 | (1) (2) (4) (7) (9) |
| VATS | 139 | NA | 66.7 ± 0.85 | 66/73 | 29.3 ± 0.8 | ||||||
| Kent 2021 ( | USA | RS, PSM | 2013–2019 | RATS | 1,711 | NA | 67.8 ± 9.7 | 742/969 | 28.0 ± 6.2 | 8 | (2) (3) (4) (5) (6) (7) |
| VATS | 1,711 | NA | 67.9 ± 9.0 | 759/952 | 27.7 ± 5.9 | ||||||
| Jin 2021 ( | China | RCT | 2017–2020 | RATS | 157 | NA | 61 (54–66) | 81/76 | 23.4 (21.7–25.6) | 9 | (1) (2) (4) (6) (7) (9) (10) |
| VATS | 163 | NA | 62 (53–68) | 76/87 | 22.9 (21.4–24.4) | ||||||
| Gallina 2021 ( | ITALY | RS | 2010–2019 | RATS | 237 | NA | 65.2 ± 6.3 | 134/103 | NA | 8 | (4) (5) (7) (9) |
| VATS | 110 | NA | 64 ± 5.3 | 63/47 | NA | ||||||
| Seder 2021 ( | USA | RS, PSM | 2015–2019 | RATS | 2,133 | 252 | 66.62 (9.1) | 911/1222 | 34.9 (4.6) | 8 | (1) (3) (4) (7) |
| VATS | 5,974 | 631 | 66.65 (8.9) | 2,598/3377 | 34.6 (4.5) | ||||||
| Chen 2021 ( | China | RS, PSM | 2016–2018 | RATS | 364 | NA | 59.3 ± 10.2 | 190/174 | 23.3 ± 2.9 | 8 | (4) (5) (7) (9) |
| VATS | 364 | NA | 59.0 ± 10.1 | 190/174 | 23.3 ± 3.0 | ||||||
| Veronesi 2021 ( | ITALY | RCT | 2017–2018 | RATS | 38 | NA | 69 ± 8.3 | 21/17 | 27 ± 4.0 | 8 | (3) (4) (5) (7) (8) (10) |
| VATS | 39 | NA | 69 ± 7.3 | 23/16 | 26 ± 4.1 |
RATS, robot-assisted thoracic surgery; VATS, video-assisted thoracic surgery; NOS, Newcastle–Ottawa Scale; NA, not applicable; RCT, randomized controlled trial; PSM, propensity score matching study; RS, retrospective study.
Outcomes: (1) operative time, (2) blood loss, (3) conversion to open surgery, (4) any complications, (5) tumor size, (6) chest drain duration, (7) length of hospital stay, (8) R0 resection rate, (9) lymph node dissection, (10) lymph node station, (11) 5-year overall survival, (12) 5-year disease-free survival, (13) recurrence rate.
Figure 2Forest plot of the meta-analysis for intraoperative outcomes. (A) Forest plot of the meta-analysis for operative time. (B) Forest plot of the meta-analysis for blood loss. (C) Forest plot of the meta-analysis for conversion to open surgery.
Figure 3Forest plot of the meta-analysis for postoperative outcomes. (A) Forest plot of the meta-analysis for any complications. (B) Forest plot of the meta-analysis for tumor size. (C) Forest plot of the meta-analysis for chest drain duration. (D) Forest plot of the meta-analysis for length of hospital stay.
Figure 4Forest plot of the meta-analysis for short−term oncological outcomes. (A) Forest plot of the meta-analysis for the R0 resection rate. (B) Forest plot of the meta-analysis for lymph node dissection. (C) Forest plot of the meta-analysis for lymph stations.
Figure 5Forest plot of the meta-analysis for long−term oncological outcomes. (A) Forest plot of the meta-analysis for 5-year overall survival. (B) Forest plot of the meta-analysis for 5-year disease-free survival. (C) Forest plot of the meta-analysis for recurrence rate.
Figure 6Funnel plot for length of hospital stay and operative time. (A) Was length of stay hospital. (B) Was operative time.