Evidence map›Paper›PMID 27475091›Full record

ArticleInternational journal of colorectal disease2016

Robot-assisted versus laparoscopic rectal resection for cancer in a single surgeon's experience: a cost analysis covering the initial 50 robotic cases with the da Vinci Si.

Luca Morelli, Simone Guadagni, Valentina Lorenzoni, Gregorio Di Franco, Luigi Cobuccio, Matteo Palmeri, Giovanni Caprili, Cristiano D'Isidoro, Andrea Moglia, Vincenzo Ferrari and 3 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in International journal of colorectal disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 8 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  8. Meta-analysis of Robot-assistedIn vivo (Athens, Greece)
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  14. Minimally invasive colorectal surgery learning curve.World journal of gastrointestinal endoscopy · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Luca MorelliGeneral Surgery Unit, Department of Oncology Transplantation and New Technologies, University of Pisa, Pisa, Italy. luca.morelli@unipi.it.
Simone GuadagniGeneral Surgery Unit, Department of Oncology Transplantation and New Technologies, University of Pisa, Pisa, Italy.
Valentina LorenzoniInstitute of ManagementScuola Superiore Sant'Anna, Pisa, Italy.
Gregorio Di FrancoGeneral Surgery Unit, Department of Oncology Transplantation and New Technologies, University of Pisa, Pisa, Italy.
Luigi CobuccioGeneral Surgery Unit, Department of Oncology Transplantation and New Technologies, University of Pisa, Pisa, Italy.
Matteo PalmeriGeneral Surgery Unit, Department of Oncology Transplantation and New Technologies, University of Pisa, Pisa, Italy.
Giovanni CapriliGeneral Surgery Unit, Department of Oncology Transplantation and New Technologies, University of Pisa, Pisa, Italy.
Cristiano D'IsidoroGeneral Surgery Unit, Department of Oncology Transplantation and New Technologies, University of Pisa, Pisa, Italy.
Andrea MogliaEndoCAS (Center for Computer Assisted Surgery), University of Pisa, Pisa, Italy.
Vincenzo FerrariEndoCAS (Center for Computer Assisted Surgery), University of Pisa, Pisa, Italy.
Giulio Di CandioGeneral Surgery Unit, Department of Oncology Transplantation and New Technologies, University of Pisa, Pisa, Italy.
Franco MoscaEndoCAS (Center for Computer Assisted Surgery), University of Pisa, Pisa, Italy.
Giuseppe TurchettiInstitute of ManagementScuola Superiore Sant'Anna, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study is to compare surgical parameters and the costs of robotic surgery with those of laparoscopic approach in rectal cancer based on a single surgeon's early robotic experience.

methodsData from 25 laparoscopic (LapTME) and the first 50 robotic (RobTME) rectal resections performed at our institution by an experienced laparoscopic surgeon (>100 procedures) between 2009 and 2014 were retrospectively analyzed and compared. Patient demographic, procedure, and outcome data were gathered. Costs of the two procedures were collected, differentiated into fixed and variable costs, and analyzed against the robotic learning curve according to the cumulative sum (CUSUM) method.

resultsBased on CUSUM analysis, RobTME group was divided into three phases (Rob1: 1-19; Rob2: 20-40; Rob3: 41-50). Overall median operative time (OT) was significantly lower in LapTME than in RobTME (270 vs 312.5 min, p = 0.006). A statistically significant change in OT by phase of robotic experience was detected in the RobTME group (p = 0.010). Overall mean costs associated with LapTME procedures were significantly lower than with RobTME (p < 0.001). Statistically significant reductions in variable and overall costs were found between robotic phases (p < 0.009 for both). With fixed costs excluded, the difference between laparoscopic and Rob3 was no longer statistically significant.

conclusionsOur results suggest a significant optimization of robotic rectal surgery's costs with experience. Efforts to reduce the dominant fixed cost are recommended to maintain the sustainability of the system and benefit from the technical advantages offered by the robot.

Indexed as

Costs and Cost AnalysisSurgeonsAgedFemaleHumansLaparoscopyLearning CurveMaleMultivariate AnalysisOperative TimePostoperative CareRectal NeoplasmsRoboticsColorectal surgeryCumulative sum analysisLearning curveRobotic surgery

Identifiers

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Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.