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Robotic pancreatoduodenectomy is the most complex surgery for a general surgeon and consequently a pancreatic surgeon can aspire to. Due to the close proximity of the pancreas to the large vessels, great skill and experience in the field of pancreatic surgery, robotic surgery and also vascular surgery is essential. The ability to predict the depth of robotic pancreatoduodenectomy in each individual patient would be extremely important, for patient selection and for the implementation of the learning curve. This study aims to provide a difficulty score (DS) for robotic pancreatoduodenectomy to be used to select cases based on the experience and expertise of the surgeon.
Our Robot DIFFICULT Score was developed starting from factors evaluated by surgeons with experience in performing robotic pancreatoduodenectomy in high-volume centers. Based on the univariate and multivariate analysis, the elevated BMI, ASA 3, the need for venous resection and vascular variations in arterial liver supply were considered significant in increasing the degree of "difficulty" in the robotic pancreatoduodenectomy. The Robot ADDICT Score will be calculated in all cases of the International Consortium on Minimally Invasive Pancreatic Surgery (I-MIPS; www.i-mips.com).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| patients undergoing robotic pancreatoduodenectomy | Other | patients have pancreatic neoplasm and undergoing robotic pancreatoduodenectomy |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Difficulty score system for robotic pancreatoduodenectomy | Other | calculate the score for patient in you cohort |
|
| Measure | Description | Time Frame |
|---|---|---|
| correlation to post-operative complication | the score increase as complications increase | 6 months |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| ugo boggi | University of Pisa | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Division of pancreatic surgery | Pisa | 56125 | Italy | |||
| University of Pisa |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 36973127 | Derived | Napoli N, Cacace C, Kauffmann EF, Jones L, Ginesini M, Gianfaldoni C, Salamone A, Asta F, Ripolli A, Di Dato A, Busch OR, Cappelle ML, Chao YJ, de Wilde RF, Hackert T, Jang JY, Koerkamp BG, Kwon W, Lips D, Luyer MDP, Nickel F, Saint-Marc O, Shan YS, Shen B, Vistoli F, Besselink MG, Hilal MA, Boggi U; International Consortium on Minimally Invasive Pancreatic Surgery (I-MIPS). The PD-ROBOSCORE: A difficulty score for robotic pancreatoduodenectomy. Surgery. 2023 Jun;173(6):1438-1446. doi: 10.1016/j.surg.2023.02.020. Epub 2023 Mar 25. |
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creation of the formula, validation
6 month
surgeon
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| ID | Term |
|---|---|
| D010190 | Pancreatic Neoplasms |
| ID | Term |
|---|---|
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D004701 | Endocrine Gland Neoplasms |
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| Pisa |
| 56125 |
| Italy |
| D004066 |
| Digestive System Diseases |
| D010182 | Pancreatic Diseases |
| D004700 | Endocrine System Diseases |