Evidence map›Paper›PMID 34708294›Full record

ArticleSurgical endoscopy2022

Robot-assisted pancreatoduodenectomy with the da Vinci Xi: can the costs of advanced technology be offset by clinical advantages? A case-matched cost analysis versus open approach.

Gregorio Di Franco, Valentina Lorenzoni, Matteo Palmeri, Niccolò Furbetta, Simone Guadagni, Desirée Gianardi, Matteo Bianchini, Luca Emanuele Pollina, Franca Melfi, Domenica Mamone and 4 more

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In one paragraph

Article in Surgical endoscopy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 19% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

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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

14 authors at 3 institutions in 1 country.

Gregorio Di FrancoGeneral Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56125, Pisa, Italy.
Valentina LorenzoniInstitute of Management, Scuola Superiore Sant'Anna, Pisa, Italy.
Matteo PalmeriGeneral Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56125, Pisa, Italy.
Niccolò FurbettaGeneral Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56125, Pisa, Italy.
Simone GuadagniGeneral Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56125, Pisa, Italy.
Desirée GianardiGeneral Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56125, Pisa, Italy.
Matteo BianchiniGeneral Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56125, Pisa, Italy.
Luca Emanuele PollinaSecond Division of Surgical Pathology, University Hospital of Pisa, Pisa, Italy.
Franca MelfiMultidisciplinary Center of Robotic Surgery, University Hospital of Pisa, Pisa, Italy.
Domenica MamonePharmaceutical Unit: Medical Device Management, University Hospital of Pisa, Pisa, Italy.
Carlo MilliBoard of Directors, University Hospital of Pisa, Pisa, Italy.
Giulio Di CandioGeneral Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56125, Pisa, Italy.
Giuseppe TurchettiInstitute of Management, Scuola Superiore Sant'Anna, Pisa, Italy.
Luca MorelliGeneral Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56125, Pisa, Italy. luca.morelli@unipi.it.ORCID http://orcid.org/0000-0002-7742-9556
University of Pisa · ITAzienda Ospedaliera Universitaria Pisana · ITScuola Superiore Sant'Anna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobot-assisted pancreatoduodenectomy (RPD) has shown some advantages over open pancreatoduodenectomy (OPD) but few studies have reported a cost analysis between the two techniques. We conducted a structured cost-analysis comparing pancreatoduodenectomy performed with the use of the da Vinci Xi, and the traditional open approach, and considering healthcare direct costs associated with the intervention and the short-term post-operative course. MATERIALS AND

methodsTwenty RPD and 194 OPD performed between January 2011 and December 2020 by the same operator at our high-volume multidisciplinary center for robot-assisted surgery and for pancreatic surgery, were retrospectively analyzed. Two comparable groups of 20 patients (Xi-RPD-group) and 40 patients (OPD-group) were obtained matching 1:2 the RPD-group with the OPD-group. Perioperative data and overall costs, including overall variable costs (OVCs) and fixed costs, were compared.

resultsNo difference was reported in mean operative time: 428 min for Xi-RPD-group versus 404 min for OPD, p = 0.212. The median overall length of hospital stay was significantly lower in the Xi-RPD-group: 10 days versus 16 days, p = 0.001. In the Xi-RPD-group, consumable costs were significantly higher (€6149.2 versus €1267.4, p < 0.001), while hospital stay costs were significantly lower: €5231.6 versus €8180 (p = 0.001). No significant differences were found in terms of OVCs: €13,483.4 in Xi-RPD-group versus €11,879.8 in OPD-group (p = 0.076).

conclusionsRobot-assisted surgery is more expensive because of higher acquisition and maintenance costs. However, although RPD is associated to higher material costs, the advantages of the robotic system associated to lower hospital stay costs and the absence of difference in terms of personnel costs thanks to the similar operative time with respect to OPD, make the OVCs of the two techniques no longer different. Hence, the higher costs of advanced technology can be partially compensated by clinical advantages, particularly within a high-volume multidisciplinary center for both robot-assisted and pancreatic surgery. These preliminary data need confirmation by further studies.

Indexed as

RoboticsRobotic Surgical ProceduresHospital CostsHumansPancreaticoduodenectomyPostoperative ComplicationsRetrospective StudiesCosts’ analysisOpen pancreatoduodenectomyRobotic pancreatoduodenectomy

Identifiers

PMID34708294
OpenAlexW3208656934

What OpenQuestion holds

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.