Evidence map›Paper›PMID 40059118›Full record

ArticleScientific reports2025

Use of the vessel sealer in paraaortic lymphadenectomy in the robotic assisted approach in endometrial cancer.

Magdalena Bizoń, Maciej Olszewski, Agnieszka Grabowska, Joanna Siudek, Krzysztof Mawlichanów, Radovan Pilka

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Magdalena BizońLUX MED Oncology Hospital, św. Wincentego 103, Warsaw, Poland. magdalena.bizon1@gmail.com.
Maciej OlszewskiLUX MED Oncology Hospital, św. Wincentego 103, Warsaw, Poland.
Agnieszka GrabowskaNeohospital, Kostrzewskiego 47, Cracow, Poland.
Joanna SiudekNeohospital, Kostrzewskiego 47, Cracow, Poland.
Krzysztof MawlichanówNeohospital, Kostrzewskiego 47, Cracow, Poland.
Radovan PilkaNeohospital, Kostrzewskiego 47, Cracow, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minimally invasive surgery is the method of choice in endometrial cancer. Experience in procedures assisted by a robotic system is growing rapidly. One of the new bipolar ones is a Vessel Sealer, with sealing and cutting function. The aim of the study was to compare robotic surgery assisted with the da Vinci X system with use of the Vessel Sealer or without it. The study included 25 patients with high-risk endometrial cancer after completed pelvic and paraaortic lymphadenectomy with mean age 60.07 ± 10.67 (range 34.69-83.23) years divided into two groups: one with use of the Vessel Sealer; the second one only with monopolar scissors and subdivided by one-site versus dual docking. Duration of the operation was significantly associated with previous surgery (p < 0.005). Use of the Vessel Sealer was associated with lower blood loss during surgery (p < 0.05). The number of removal pelvic lymph nodes was higher in case of Vessel Sealer with no relation to BMI. Experience in robotic surgery allowed for shortened operation time and led to better outcomes. The Vessel Sealer used in robotic surgery appears to reduce blood loss during surgery and operation time, especially in the case of previous surgery, however, it increases costs of the procedure.

Indexed as

Endometrial NeoplasmsLymph Node ExcisionRobotic Surgical ProceduresAdultAgedAged, 80 and overBlood Loss, SurgicalFemaleHumansMiddle AgedOperative TimeTreatment OutcomeBipolar deviceEndometrial cancerParaaortic lymphadenectomyRobotic surgery

Identifiers

PMID40059118
PMCPMC11891311

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.