Evidence map›Paper›PMID 41175288›Full record

ArticleJournal of robotic surgery2025

Evaluating the learning curve in robot-assisted laparoscopic total hysterectomy: single-port versus multi-port Da Vinci platforms.

Riccardo Vizza, Simone Garzon, Giacomo Corrado, Valentina Bruno, Ermelinda Baiocco, Andrea Giannini, Stefano Uccella, Enrico Vizza

Abstract readComparative Study
In one paragraph

Article in Journal of robotic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Da VinciSurgical endoscopy · 2026
    Observational
  3. Article
  4. Article
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

8 authors.

Riccardo VizzaUnit of Obstetrics and Gynecology, Department of Surgery, Dentistry, Pediatrics, and Gynecology, AOUI Verona, University of Verona, Piazzale A. Stefani 1, Verona, 37126, Italy. riccardo.vizza@studenti.univr.it.
Simone GarzonUnit of Obstetrics and Gynecology, Department of Surgery, Dentistry, Pediatrics, and Gynecology, AOUI Verona, University of Verona, Piazzale A. Stefani 1, Verona, 37126, Italy.
Giacomo CorradoDipartimento di Scienze per la salute della Donna e del Bambino e di Sanità Pubblica, UOC Ginecologia Oncologica, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy.
Valentina BrunoGynecologic Oncologic Unit, Department of Experimental Clinical Oncology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Ermelinda BaioccoGynecologic Oncologic Unit, Department of Experimental Clinical Oncology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Andrea GianniniUnit of Gynecology, Department of Medical Surgical Sciences and Translational Medicine, Sant'Andrea Hospital, Sapienza University, Rome, Italy.
Stefano UccellaUnit of Obstetrics and Gynecology, Department of Surgery, Dentistry, Pediatrics, and Gynecology, AOUI Verona, University of Verona, Piazzale A. Stefani 1, Verona, 37126, Italy.
Enrico VizzaGynecologic Oncologic Unit, Department of Experimental Clinical Oncology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study is to assess and compare the learning curves of the Da Vinci S Multi-port (MP) and Da Vinci Single-Port (SP) platforms for total hysterectomy, with particular attention to how prior MP experience influences SP performance. This is a retrospective comparative study on patients undergoing robot-assisted total hysterectomy (benign or early endometrial cancer indication) with the MP and SP systems. All operations were performed by the same surgeon, and cases performed with the SP system were performed after the MP system. Operating time was used as the main indicator of the learning curve, analyzed by the CUSUM method. Data were processed with R software, and differences between groups were evaluated with t-test and Chi-squared test (significance p < 0.05). A total of 147 patients were analyzed (73 MP, 74 SP). Mean operating times were similar between the two groups (117 min MP vs. 114 min SP). Hemoglobin drop was significantly lower in the SP group (- 1.18 g/dL vs. - 2.07 g/dL, p < 0.05). CUSUM analysis showed that the learning curve of the MP system reaches the mastery phase after 50 cases, while 13 cases are sufficient for the SP system when initiated after having mastered the MP system. The learning rate was - 0.3 min/case for MP and - 0.009 min/case for SP. In conclusion much of the experience gained with the Da Vinci Multiport System is transferable to the SP platform, allowing for a shorter learning curve and rapid achievement of surgical mastery with similar learning phases.

Indexed as

HysterectomyLaparoscopyLearning CurveRobotic Surgical ProceduresAdultAgedFemaleHumansMiddle AgedOperative TimeRetrospective StudiesDa Vinci Multi-PortDa Vinci Single-PortLearning curve; Robot-Assisted hysterectomy

Identifiers

PMID41175288
PMCPMC12579705

What OpenQuestion holds

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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.