Evidence map›Paper›PMID 40859043›Full record

ArticleArchives of gynecology and obstetrics2025

Robotic-assisted surgery in extremely obese patients: a multidisciplinary approach for a patient with a BMI of 101.7 kg/m

Roland Csorba, Sàed Almasarweh, Zeynep Atas Elfrink, Paul Buderath, Rainer Kimmig, Martin W Britten

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Archives of gynecology and obstetrics, 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

6 authors.

Roland CsorbaDepartment of Obstetrics and Gynaecology, University Clinic Essen, University of Duisburg-Essen, Hufelandstr. 55, 45147, Essen, Germany. drcsorbaroland@gmail.com.
Sàed AlmasarwehDepartment of Obstetrics and Gynaecology, University Clinic Essen, University of Duisburg-Essen, Hufelandstr. 55, 45147, Essen, Germany.
Zeynep Atas ElfrinkDepartment of Obstetrics and Gynaecology, University Clinic Essen, University of Duisburg-Essen, Hufelandstr. 55, 45147, Essen, Germany.
Paul BuderathDepartment of Obstetrics and Gynaecology, University Clinic Essen, University of Duisburg-Essen, Hufelandstr. 55, 45147, Essen, Germany.
Rainer KimmigDepartment of Obstetrics and Gynaecology, University Clinic Essen, University of Duisburg-Essen, Hufelandstr. 55, 45147, Essen, Germany.
Martin W BrittenDepartment of Anaesthesiology and Intensive Medicine, University Clinic Essen, University of Duisburg-Essen, Essen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of obesity has risen significantly, affecting over 19% of the German population. Obesity is frequently associated with endometrial cancer, presenting considerable challenges in pre-, intra- and postoperative management. Challenges with intubation, patient positioning, respiratory and cardiac complications as well as wound dehiscence are commonly encountered in this patient population. METHODS AND

resultsFor patients with uterine cancer, surgical intervention is essential for staging, symptom control, and potential cure. Minimally invasive approaches, particularly robotic-assisted surgery, have expanded the possibilities for treating morbidly obese patients. Robotic systems facilitate navigation around anatomical barriers and reduce surgeon fatigue. However, despite the technological advancements, morbidly obese patients often face increased perioperative risks and prolonged postoperative recovery. Laparoscopic procedures in steep Trendelenburg position for morbidly obese patients pose unique challenges, particularly in anesthesiological management. These challenges necessitate individualized ventilatory and hemodynamic support to ensure patient safety. This case highlights a multidisciplinary approach to managing a patient with extreme obesity (BMI 101.7 kg/m

conclusionOur case exemplifies our experience from similar cases and demonstrates that robotic-assisted surgery for endometrial cancer in obese patients can represent a safe and feasible option, characterized by a low complication rate, minimal blood loss, and a short hospital stay.

Indexed as

Endometrial NeoplasmsHysterectomyObesity, MorbidRobotic Surgical ProceduresBody Mass IndexFemaleHumansLaparoscopyMiddle AgedAnaesthesiologyCancer-field surgeryEndometrial cancerMorbid obesityMultidisciplinary managementRobotic surgery

Identifiers

PMID40859043
PMCPMC12589234

What Socratic 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 Socratic graph.