Evidence map›Paper›PMID 36596929›Full record

ArticleSurgical endoscopy2023

Initial 50 consecutive full-robotic pancreatoduodenectomies without conversion by a single surgeon: a learning curve analysis from a tertiary referral high-volume center.

Luca Morelli, Niccolò Furbetta, Matteo Palmeri, Simone Guadagni, Gregorio Di Franco, Desirée Gianardi, Rosa Cervelli, Valentina Lorenzoni, Annalisa Comandatore, Cristina Carpenito and 2 more

Abstract read
In one paragraph

Article in Surgical endoscopy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Review
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  8. Review
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

12 authors.

Luca MorelliGeneral 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.
Matteo PalmeriGeneral 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. s.guadagni@ao-pisa.toscana.it.ORCID 0000-0001-9072-8166
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.
Desirée GianardiGeneral Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56125, Pisa, Italy.
Rosa CervelliInterventional Radiology Division, Imaging Department, Azienda Ospedaliera Universitaria Pisana, Pisa, Italy.
Valentina LorenzoniInstitute of Management, Scuola Superiore Sant'Anna, Pisa, Italy.
Annalisa ComandatoreGeneral Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56125, Pisa, Italy.
Cristina CarpenitoGeneral Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56125, 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.
Alfred CuschieriInstitute for Medical Science and Technology, University of Dundee, Dundee, Scotland, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral studies report on a learning curve for robotic pancreatoduodenectomy (R-PD) ranging between 20 and 80 operations, with conversion rates varying between 1.1 and 35%. However, as these publications mostly refer to initial robotic experiences and do not take into account the previous surgical background in pancreatic surgery (PS) and in robotic-assisted surgery (RAS), the center's volume, as well as the platform used, we aimed to perform a surgical outcomes analysis with a particular view to these aspects.

methodsIntraoperative and perioperative outcomes of the first 50 consecutive R-PD performed with the da Vinci Xi by the same surgeon, within a tertiary referral high-volume center, between January 2018 and March 2022, were analyzed. The surgeon was previously experienced in both PS and RAS. Shewhart control chart and cumulative sum (CUSUM) analysis were used to evaluate the learning curve of R-PD.

resultsAll the operations were performed with a full-robotic technique, without any conversion to open surgery. Twenty of 50 patients (40%) had a BMI ≥ 25 kg/m

conclusionsAn extensive prior experience in both PS and RAS, within a tertiary referral high-volume center with availability of the da Vinci Xi platform, can significantly flatten the learning curve and, therefore, enable safe performance of challenging operations, i.e., pancreatoduodenectomies with a minimally invasive approach, with very low risk of conversion to open surgery, even in the first 50 operations.

Indexed as

Robotic Surgical ProceduresSurgeonsHumansLearning CurvePancreaticoduodenectomyReferral and ConsultationRetrospective StudiesDa Vinci XiLearning curvePancreatic surgeryPrevious manual pancreatoduodenectomyRobotic pancreatoduodenectomyRobotic surgery

Identifiers

PMID36596929
PMCPMC9810244

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Registered trials

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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.