| Literature DB >> 35983124 |
Gopal Sharma1, Aditya Prakash Sharma1, Shantanu Tyagi1, Girdhar Singh Bora1, Ravimohan Suryanarayan Mavuduru1, Sudheer Kumar Devana1, Shrawan Kumar Singh1.
Abstract
Introduction: Multiple studies have been published recently assessing feasibility of robot-assisted partial nephrectomy (RAPN) for moderate to highly complex renal masses. Some studies have even compared partial nephrectomy (PN) performed through various modalities such as open PN (OPN) versus RAPN and laparoscopic PN (LPN) versus OPN. The primary aim of this review was to analyze perioperative outcomes such as warm ischemia time (WIT), duration of surgery, estimated blood loss (EBL), complications, blood transfusion, length of stay, and margin status following RAPN for complex renal masses. Another objective was to compare perioperative outcomes following various surgical modalities, i.e., OPN, LPN, or RAPN.Entities:
Year: 2022 PMID: 35983124 PMCID: PMC9380458 DOI: 10.4103/iju.iju_393_21
Source DB: PubMed Journal: Indian J Urol ISSN: 0970-1591
Table depicting search strategy employed for Pubmed
| Keywords | Results |
|---|---|
| Renal mass | 38,036 |
| Kidney mass | 47,082 |
| Renal cell carcinoma | 47,792 |
| Renal cancer | 124,869 |
| Kidney cancer | 117,426 |
| Renal carcinoma | 53,852 |
| Robot-assisted laparoscopic nephron-sparing surgery | 77 |
| Robot-assisted LPN | 343 |
| Robotic nephron-sparing surgery | 234 |
| Robot assisted nephron sparing surgery | 122 |
| Robotic PN | 1118 |
| RAPN | 567 |
| Hilar | 10,990 |
| Complex | 1258,502 |
| High renal nephrometry score | 108 |
| High PADUA score | 258 |
| High RENAL score | 4419 |
| WIT | 5123 |
| Complication | 258,770 |
| Margin | 58,038 |
| trifecta | 281 |
| WIT OR complication OR margin OR trifecta | 319,872 |
| High PADUA score OR high nephelometry score OR high renal score OR high renal nephelometry score OR complex OR hilar | 1273,504 |
| Renal mass OR kidney mass OR renal cell carcinoma OR renal cancer OR kidney cancer OR renal carcinoma OR renal tumor | 191,242 |
| RAPN OR robotic PN OR robot assisted nephron-sparing surgery OR robotic nephron-sparing surgery OR robot-assisted LPN OR robot-assisted laparoscopic nephron-sparing surgery | 1247 |
| WIT OR complication OR margin OR trifecta and high PADUA score OR high nephelometry score OR high renal score OR high renal nephelometry score OR complex OR hilar and renal mass OR kidney mass OR renal cell carcinoma OR renal cancer OR kidney cancer OR renal carcinoma OR renal tumor and RAPN OR robotic PN OR robot-assisted nephron-sparing surgery OR robotic nephron-sparing surgery OR robot-assisted LPN OR robot-assisted laparoscopic nephron-sparing surgery | 323 |
PN=Partial nephrectomy, RAPN=Robot assisted PN, LPN=Laparoscopic PN, WIT=Warm ischemia time, OR=Odds ratio, RENAL=Radius, endophytic/exophytic, nearness, anterior/posterior location, PADUA=Preoperative aspects of dimension used for anatomic classification
Characteristics of the studies included in the review
| First author | Number of patients | Country | Years | Type of study | Duration of study | Number of institutions | Number of surgeons | Score used | Surgical approach | Median follow-up | Quality assessment score |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Abedali | 148 robot | USA | 2020 | Retrospective | 2008-2016 | Single | Multiple | RENAL ≥7 | NS | NS | 8/9 stars |
| Beksac | 144 robot | USA | 2019 | Retrospective | 2006-2018 | Multiple | Multiple | RENAL ≥10 | NS | NS | 14/20 |
| Buffi | 255 robot | Italy | 2019 | Retrospective | 2010-2017 | Multiple | Multiple | PADUA ≥10 | Retro/transperitoenal | NS | 16/20 |
| Bora | 53 robot | India | 2017 | Retrospective | 2014-2016 | Single | Multiple | RENAL ≥7 | Transperitoneal | - | 15/20 |
| Deng | Robot 58 | China | 2019 | Retrospective | 2010-2017 | Single | Single | RENAL ≥7 | Retro/transperitoenal | Robot 39.5 | 7/9 stars |
| Ellison | Robot 62 | USA | 2012 | Retrospective | 2007-2011 | Single | Multiple | RENAL 7-10 | Retro/transperitoenal | - | 7/9 stars |
| Garisto | Open 76 | USA | 2018 | Retrospective | 2006-2016 | Single | Multiple | RENAL ≥10 | Transperitoneal | 25 | 8/9 stars |
| Hennessey | 31 robot | Australia | 2017 | P | 2014-2016 | Three | Multiple | RENAL ≥10 | Transperitoneal | 12.5 | 14/20 |
| Jang | Laparoscopic 38 | South Korea | 2014 | Retrospective | 2007-2013 | Single | Single | RENAL 7-10 | NS | - | 8/9 stars |
| Kim | Open 64 | South Korea | 2019 | Retrospective | 2003-2017 | Single | NS | RENAL ≥10 | NS | 30 | 8/9 stars |
| Long | Laparoscopic 182 | USA | 2012 | Retrospective | 2005-2009 | Single | Multiple | RENAL ≥7 | Transperitoneal | 8.3 | 7/9 stars |
| Png | 39 robot | USA | 2013 | Retrospective | 2003-2011 | Single | Single | RENAL ≥7 | NS | - | 14/20 |
| Raheem | 223 robot | South Korea | 2016 | Retrospective | 2006-2015 | Single | Single | PADUA>7 | Transperitoneal | 47 intermediate and 38.5 highly complex | 15/20 |
| Schiavina | Robot 165 | Italy | 2016 | Retrospective | 2010-2013 | Multicentre | Multiple | Both ≥7 | NS | - | 15/20 |
| Simhan | Robot 91 | USA | 2012 | Retrospective | 2007-2010 | Single | Multiple | RENAL ≥7 | NS | - | 6/9 stars |
| Tomaszewski | 210 robot | USA | 2014 | Retrospective | 2007-2012 | Single | Multiple | RENAL ≥7 | NS | - | 14/20 |
| Ubrig | 212 robot | Germany | 2018 | Retrospective | 2008-2016 | Multiple | Multiple | PADUA ≥10 | Transperitoneal except few cases | - | 16/20 |
| Volpe | 44 robot | Belgium | 2014 | Retrospective | 2006-2012 | Single | NS | PADUA ≥10 | Transperitoneal | - | 14/20 |
| Wang 2015 | 135 laparoscopic | China | 2015 | Retrospective | 2008-2014 | Two | Multiple | RENAL ≥7 | Transperitoneal | 16.5 | 7/9 stars |
| Wang 2016 | Open 190 | China | 2016 | Retrospective | 2007-2014 | Two | Single | RENAL ≥7 | NS | 49 | 8/9 stars |
| White | Robot 67 | USA | 2011 | Retrospective | 2007-2010 | Single | Single | RENAL ≥7 | Transperitoneal | - | 16/20 |
| Zargar | Open 52 | USA | 2014 | Retrospective | 2007-2013 | Multiple | Multiple | RENAL 9-12 | Transperitoneal | 4 | 6/9 stars |
NS=Not secified, RENAL=Radius, endophytic/exophytic, nearness, anterior/posterior location, PADUA=Preoperative aspects of dimension used for anatomic classification
Figure 1Preferred reporting items for systematic reviews and meta-analysis flow-chart depicting search strategy used for this review
Comparison of robotic partial nephrectomy with open and laparoscopic for various clinical variables
| Variable | Number of studies |
| Model | Pooled MD/OR | 95% CI |
| |
|---|---|---|---|---|---|---|---|
|
| |||||||
| Robotic versus laparoscopic | |||||||
| Duration of surgery | 5 | 54.08 | 93 | IV, random | −11.74 | −38.17-14.69 | 0.38 |
| EBL | 5 | 19.52 | 80 | IV, random | −16.98 | −52.03-18.08 | 0.34 |
| WIT | 5 | 7.08 | 44 | IV, random | −1.04 | −2.49-0.42 | 0.16 |
| Minor complications | 5 | 6.27 | 36 | M-H random | 0.98 | 0.65-1.46 | 0.91 |
| Major complications | 5 | 0.94 | 0 | M-H fixed | 1.14 | 0.65-1.99 | 0.65 |
| Blood transfusion | 5 | 2.91 | 0 | M-H fixed | 0.77 | 0.50-1.19 | 0.24 |
| Intraoperative complications | 3 | 1.04 | 0 | M-H fixed | 0.57 | 0.27-1.22 | 0.15 |
| LOS | 5 | 53.63 | 93 | IV, random | −0.36 | −1.04-0.32 | 0.30 |
| Positive surgical margin | 5 | 1.77 | 0 | M-H fixed | 0.89 | 0.35-2.27 | 0.81 |
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| Duration of surgery | 7 | 14.69 | 59 | M-H random | 3.37 | −2.87-9.61 | 0.29 |
| EBL | 6 | 136.7 | 96 | IV, random | −82.4 | −133.8--30.9 | 0.002 |
| WIT | 7 | 439.1 | 99 | IV, random | −1.78 | −7.44-3.88 | 0.54 |
| Minor complications | 5 | 2.81 | 0 | M-H fixed | 0.58 | 0.43-0.79 | 0.0004 |
| Major complications | 6 | 7.97 | 37 | M-H fixed | 0.65 | 0.44-0.94 | 0.02 |
| Blood transfusion | 5 | 10.6 | 62 | M-H random | 0.33 | 0.14-0.81 | 0.02 |
| LOS | 7 | 7.21 | 17 | IV, fixed | −1.71 | −2.02-1.40 | <0.00001 |
| Positive surgical margin | 5 | 2.75 | 0 | M-H fixed | 0.65 | 0.36-1.19 | 0.16 |
M-H =Mantel-Haenszel, IV =Inverse variance, MD =Mean difference, OR =Odds ratio, WIT =Warm ischemia time, EBL =Estimated blood loss, LOS =Length of stay, CI =Confidence interval
Baseline and perioperative outcomes in studies included in the review
| First author, years ( | Age (years) | Sex (male/female) | BMI (kg/m2) | Duration (min), mean | WIT (min), mean | Blood loss (ml), mean | Blood transfusions, | Intra-operative complications, | Grade I and II complications, | Grade III, IV complications, | Hospital stay (days), mean | Margin positivity, |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Abedali, 2020 (148) | 60.3 | 87/61 | 31.2 | 226.5 | 19.7 | 156.5 | 2 (1.6) | - | - | 16 (10.8) | 3 | - |
| Beksac, 2019 (144) | 59 | 83/61 | 30.35 | 214.6 | 20.25 | 168.75 | 1 (0.69) | 12 (8.3) | 12 (8.3) | 3 (2.3) | 1 | 8 (5.56) |
| Buffi, 2019 (255) | 62 | 166/89 | 26 | 162 | 18.5 | 162.5 | - | - | 62 (24.3) | 13 (5.1) | 4 | 4 (1.9) |
| Bora, 2017 (53) | 49.4 | 29/24 | 23.6 | 169.5 | 27.4 | 252.8 | - | - | 22 (41.5) | 2 (3.9) | 5.8 | 1 (1.8) |
| Deng, 2019 (58) | - | - | - | 198.8 | 22.4 | 158.1 | - | 5 (8.6) | 9 (15.5) | 3 (5.2) | 7.5 | 2 (3.4) |
| Ellison, 2012 (62) | 58 | - | 30.2 | 230 | 30 | 250 | 4 (6.4) | - | 31 (50) | 9 (14.5) | 3.3 | 3 (4.8) |
| Garisto, 2018 (203) | 59.8 | 125/78 | 31 | 208 | 28 | 200 | 6 (2.9) | 15 (7.3) | 43 (21.1) | 14 (6.9) | 3 | 18/179 (10) |
| Hennessey, 2017 (31) | 58.7 | 20/10 | - | 155 | 23 | 200 | - | 0 | 2 (6.4) | 0 | 3.5 | 1 (3.2) |
| Jang, 2014 (89) | 49 | 59/30 | 24.3 | 144 | 24. | 197.6 | 4 (4.5) | 1 (1.1) | 17 (19.1) | 1 (1.1) | 7.1 | 0 |
| Kim, 2019 (85) | 51.2 | 55/30 | 25 | 150 | 24 | 200 | 8 (9.4) | 8 (9.4) | 8 (9.4) | 8 (9.4) | 5 | 0 |
| Long, 2012 (199) | 58.5 | 119/80 | 30.7 | 197 | 22.4 | 280.2 | 24 (12) | 6 (3.0) | 53 (26.6) | 11 (5.5) | 3.4 | 2 (1) |
| Png, 2013 (39) | - | - | - | 215 | 24 | 100 | - | 2 (5.1) | - | - | - | - |
| Raheem, 2016 (223) | 52.3 | 147/76 | 24.5 | 163.5 | 25.0 | 321 | 17 (7.6) | 18 (8.0) | 38 (17) | 14 (6.2) | 5.5 | 18 (8) |
| Schiavina, 2016 (165) | - | - | - | 167.3 | 21.1 | 233.2 | - | - | 18 (11) | 13 (7.8) | - | - |
| Simhan, 2012 (91) | - | - | - | 207.6 | 29.8 | 141.5 | - | - | 27 (29.6) | 10 (10.9) | 3.6 | 3 (3.2) |
| Tomaszewski, 2014 (210) | 57.5 | 133/77 | 30.6 | 199 | 29.4 | 159 | - | - | - | - | - | - |
| Ubrig, 2018 (212) | 57.2 | 147/65 | 34.3 | 193.7 | 15.5 | - | 3 (1.4) | 14 (6.6) | 35 (16.5) | 19 (8.9) | - | 13 (6.1) |
| Volpe, 2014 (44) | 63.75 | - | 26.7 | 132.5 | 18 | 381 | 2 (4.5) | 2 (4.5) | 6 (13.6) | 4 (9) | 7.7 | 2 (4.5) |
| Wang, 2015 (81) | 61.2 | 55/26 | 25.2 | 135.6 | 20.5 | 196.6 | 6 (7.4) | 4 (4.9) | 11 (13.5) | 3 (3.7) | 7.6 | 1 (1.2) |
| Wang, 2016 (190) | 61.8 | 139/51 | 25.4 | 141.7 | 21.3 | 196.8 | 12 (6.3) | 10 (5.2) | 25 (13.1) | 5 (2.6) | 7.8 | 3 (1.5) |
| White, 2011 (67) | 60.7 | 31/35 | 30.9 | 175.1 | 19.4 | 221.1 | - | - | 14 (20.8) | 1 (1.5) | 3 | 1 (1.5) |
| Zargar, 2014 (10) | 61.3 | 32/8 | 30 | 250.8 | 22.7 | - | 0 | 1 (10) | 0 | 4 (25) | - | 1 (10) |
| 49-63.75 (range) | - | 23.6-34.3 (range) | 132.5-250.8 (range) | 15.5-30 (range) | 100-321 (range) | 89/1690 (5.2) (weighted mean) | 98/1608 (6.1) (weighted mean) | 433/2262 (19.1) (weighted mean) | 153/2410 (6.3) (weighted mean) | 1-7.8 (range) | 81/2073 (3.9) (weighted mean) |
BMI=Body mass index, WIT=Warm ischemia time
Perioperative outcomes in studies included in the review with high complexity renal masses (radius, endophytic/ exophytic, nearness, anterior/posterior location or preoperative aspects of dimension used for anatomic classification score ≥10)
| Study, year ( | Duration (min), mean | Blood loss (ml), mean | Blood transfusion, | WIT (min), mean | Grade I or II complication, | Grade III, IV complication, | Hospital stay (days), mean | Margin positivity, |
|---|---|---|---|---|---|---|---|---|
| Garisto, 2018 (203) | 208 | 200 | 6 (2.9) | 28 | 43 (21.1) | 14 (6.9) | 3 | 18/179 (10) |
| Hennessey, 2017 (31) | 155 | 200 | - | 23 | 2 (6.4) | 0 | 3.5 | 1 (3.2) |
| Kim, 2019 (85) | 150 | 200 | 8 (9.4) | 24 | 8 (9.4) | 10 (11.7) | 5 | 0 |
| Raheem, 2016 (121) | 164 | 360 | 10 (8.2) | 26 | 20 (16.5) | 6 (4.9) | 5.6 | 12 (9.9) |
| Schiavina, 2016 (79) | 169 | 243 | - | 24.7 | 2 (2.5) | 4 (5) | - | - |
| Simhan, 2012 (10) | 221 | 225 | - | 33.8 | - | - | 3.7 | 0 |
| Tomaszewski, 2014 (24) | 215 | 262 | - | 36.1 | - | - | - | - |
| Ubrig, 2018 (212) | 193.7 | - | 3 (1.4) | 15.5 | 35 (16.5) | 19 (8.9) | - | 13 (6.1) |
| Volpe, 2014 (44) | 132.5 | 381 | 2 (4.5) | 18 | 6 (13.6) | 4 (9) | 7.7 | 2 (4.5) |
| White, 2011 (11) | 201 | 456.25 | - | 27 | - | - | 4 | 1 (9) |
| Beksac, 2019 (144) | 214.6 | 168.75 | 1 (0.69) | 20.25 | 12 (8.3) | 3 (2.3) | 1 | 8 (5.5) |
| Buffi, 2019 (255) | 162 | 162.5 | - | 18.5 | 62 (24.3) | 13 (5.1) | 4 | 4 (1.9) |
| 132.5-214.6 (range) | 200-456.25 (range) | 30/836 (3.5) (weighted mean) | 15.5-36.1 (range) | 190/1170 (16.2) (weighted mean) | 73/1170 (6.2) (weighted mean) | 1-7.7 (range) | 59/1119 (5.2) (weighted mean) |
WIT=Warm ischemia time