Evidence map›Paper›PMID 41240199›Full record

ArticleAnnals of surgical oncology2026

Robotic Surgery in Endometrial Cancer using Robot da Vinci

Giuseppe Cucinella, Mariano Catello Di Donna, Maria Cristina Solazzo, Carlo Ronsini, Cono Scaffa, Vito Chiantera

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In one paragraph

Article in Annals of surgical oncology, 2026. 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. 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.

Giuseppe CucinellaGynecologic Oncology Unit, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Naples, Italy. giuseppecucinella@outlook.com.
Mariano Catello Di DonnaGynecologic Oncology Unit, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Naples, Italy.
Maria Cristina SolazzoDepartment of Woman, Child and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
Carlo RonsiniGynecologic Oncology Unit, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Naples, Italy.
Cono ScaffaGynecologic Oncology Unit, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Naples, Italy.
Vito ChianteraGynecologic Oncology Unit, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSurgery through a minimally invasive approach is the mainstay of the initial management of endometrial cancer, while sentinel lymph node (SLN) technique enhances the already excellent outcomes of minimally invasive full surgical staging. PATIENTS AND

methodsWe described a case of a patient diagnosed with endometrioid endometrial cancer, International Federation of Gynecology and Obstetrics (FIGO) grade 2 (p53 wild-type, mismatch repair-proficient). Preoperative findings suggested a presumed FIGO 2023 stage IA2.

resultsThe patient underwent a full surgical staging including hysterectomy, bilateral salpingo-oophorectomy and bilateral SLN biopsy. The total operative time was 100 min, and the estimated blood loss was 30 mL. The surgical procedure was performed without complications. Pain assessment using the Visual Analog Scale (VAS)

conclusionsRobotic surgical staging for endometrial cancer using the da Vinci

Indexed as

Carcinoma, EndometrioidEndometrial NeoplasmsRobotic Surgical ProceduresFemaleHumansHysterectomyPrognosisSalpingo-oophorectomySentinel Lymph Node BiopsyDa Vinci SPEndometrial cancerHysterectomyRobotic-surgerySingle-portSLN biopsy

Identifiers

PMID41240199

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.