Evidence map›Paper›PMID 41045388›Full record

ArticleJournal of robotic surgery2025

Robot-assisted hysterectomy for endometrial cancer: is there a correlation between uterine diameters, pelvic volume, and surgical outcomes?

Daniela Surico, Carmen Imma Aquino, Alessandro Vigone, Daniela Ferrante, Sabrina Baldi, Beatrice Bracci, Alessandro Libretti, Valentino Remorgida

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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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Daniela SuricoDepartment of Translational Medicine, Gynecology and Obstetrics, University of Piemonte Orientale, 'Maggiore Della Carità' Hospital, 28100, Novara, Italy.
Carmen Imma AquinoDepartment of Translational Medicine, Gynecology and Obstetrics, University of Piemonte Orientale, 'Maggiore Della Carità' Hospital, 28100, Novara, Italy. c.immaquino@gmail.com.
Alessandro VigoneDepartment of Translational Medicine, Gynecology and Obstetrics, University of Piemonte Orientale, 'Maggiore Della Carità' Hospital, 28100, Novara, Italy.
Daniela FerranteMedical Statistics, Department of Translational Medicine, University of Piemonte Orientale, 28100, Novara, Italy.
Sabrina BaldiDepartment of Radiology Medicine, 'Maggiore Della Carità' Hospital, 28100, Novara, Italy.
Beatrice BracciDepartment of Translational Medicine, Gynecology and Obstetrics, University of Piemonte Orientale, 'Maggiore Della Carità' Hospital, 28100, Novara, Italy.
Alessandro LibrettiDepartment of Translational Medicine, Gynecology and Obstetrics, University of Piemonte Orientale, 'Maggiore Della Carità' Hospital, 28100, Novara, Italy.
Valentino RemorgidaDepartment of Translational Medicine, Gynecology and Obstetrics, University of Piemonte Orientale, 'Maggiore Della Carità' Hospital, 28100, Novara, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hysterectomy could be performed through a vaginal approach, laparotomy, or laparoscopy. Robotic surgery is a technique that can be defined as a particular type of laparoscopy, often used in interventions where microsurgery can help improve radicality and effectiveness. In choosing patients for the robotic technique, many characteristics could be studied to tailor the surgical choice. Our aim is to describe the anthropomorphic and radiological parameters linked to worse surgical outcomes for the potential stratification of patients in the preoperative decision about the type of surgery. In our center, the AOU Maggiore della Carità Hospital in Novara (Italy), 104 patients diagnosed with endometrial cancer and candidated for total hysterectomy, with various degrees of radicality, underwent robotic surgery. Patients' anthropomorphic parameters, such as body mass index, and radiological imaging such as uterine size and pelvis diameter, were compared with the surgical outcomes such as operating times, complications as blood loss, subsequent emergency room visits, and the possible need for laparotomy conversion. Our ratios between pelvic depth and uterine anteroposterior diameter (PD/UAP) and between uterine volume and pelvic volume index (UV/PCI) showed statistically significant correlations with surgical time.

Indexed as

Endometrial NeoplasmsHysterectomyPelvisRobotic Surgical ProceduresUterusAdultAgedBlood Loss, SurgicalFemaleHumansLaparoscopyMiddle AgedOperative TimeOrgan SizeRetrospective StudiesTreatment Outcomeendometrial cancerminimally invasive surgerypelvic dimensionsRobotic surgerysurgical complications

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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.