Evidence map›Paper›PMID 40676430›Full record

ArticleJournal of robotic surgery2025

Surgical efficiency for gynecological surgery with a single robotic console: the value of the surgical team and robotic technology in maximizing efficiency on intensive surgical days: a comprehensive analysis.

Eleftherios Zachariou, Christos Vrysis, Dimitrios Papageorgiou, Ioakeim Sapantzoglou, Ioannis Prokopakis, Pantelis Aggelidis, Nikolaos Kiposoglou, Anastasia Analyti, Konstantinos Tsimidakis, Emmanouil M Xydias and 2 more

Abstract read
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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 1 paper.

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

1 citing paper in PubMed.

  1. Observational
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.

Eleftherios Zachariou1st Gynaecology Department, Division of Robotic and Laparoscopic Surgery, Metropolitan General Hospital, Athens, Greece.
Christos Vrysis1st Department of Obstetrics and Gynaecology, Alexandra Hospital, National and Kapodistrian University of Athens, Vassilisis Sofias 80, 11528, Athens, Greece. vryschri@hotmail.com.
Dimitrios PapageorgiouDepartment of Gynecology, Athens Naval and Veterans Hospital, Athens, Greece.
Ioakeim Sapantzoglou1st Department of Obstetrics and Gynaecology, Alexandra Hospital, National and Kapodistrian University of Athens, Vassilisis Sofias 80, 11528, Athens, Greece.
Ioannis Prokopakis1st Department of Obstetrics and Gynaecology, Alexandra Hospital, National and Kapodistrian University of Athens, Vassilisis Sofias 80, 11528, Athens, Greece.
Pantelis Aggelidis1st Gynaecology Department, Division of Robotic and Laparoscopic Surgery, Metropolitan General Hospital, Athens, Greece.
Nikolaos Kiposoglou1st Gynaecology Department, Division of Robotic and Laparoscopic Surgery, Metropolitan General Hospital, Athens, Greece.
Anastasia AnalytiAnesthesiology Department, Metropolitan General Hospital, Athens, Greece.
Konstantinos TsimidakisAnesthesiology Department, Metropolitan General Hospital, Athens, Greece.
Emmanouil M XydiasEmbryoclinic IVF, Thessaloniki, Greece.
Elias TsakosEmbryoclinic IVF, Thessaloniki, Greece.
Nikolaos Plevris1st Gynaecology Department, Division of Robotic and Laparoscopic Surgery, Metropolitan General Hospital, Athens, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate the surgical efficiency based on the number of daily procedures by analyzing various time components of the surgical process. This retrospective study examined 108 robot-assisted gynecologic surgeries conducted using the Da Vinci Xi surgical system in a private hospital in Greece from 2021 to 2024. The data were categorized into five case-day groups according to the number of surgeries performed each day, and the timing of several different steps was recorded. Statistical analyses, including ANOVA and correlation heatmaps, were employed. A significant difference was found in the time required for undocking, lavage, and hemostasis (F = 4.0, p < 0.01), with the six-case group experiencing the longest duration (21.9 ± 9.5 min). No significant differences were observed in total case duration across different case volume groups; however, a trend indicated a decrease in duration from the dual-case group (16.6 ± 2.8 min) to the six-case volume group (13.7 ± 2.7 min). The four-case group demonstrated the highest efficiency ratio (0.81), while the six-case group showed a slightly lower ratio (0.76). Additionally, there was a strong positive correlation (Pearson's r = 0.99) between surgery duration and patient docked time. The first surgery of the day (S1) had the longest duration, whereas procedures performed in the middle of the day were more consistent. Robotic surgery is feasible and efficient, whether the day is intensive or relatively easy. We can greatly increase efficiency by standardizing the preparation processes and improving the time taken to dock and undock.

Indexed as

Gynecologic Surgical ProceduresPatient Care TeamRobotic Surgical ProceduresAdultFemaleGreeceHumansMiddle AgedOperative TimeRetrospective StudiesRobotic; Gynecological surgery; Time efficiency; Retrospective study

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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.