Survival Impact of Robotic-Assisted Laparoscopy (RAL) vs. Conventional Laparoscopy (LPS) in the Treatment of Endometrial Cancer

<b>Objective:</b> This study aimed to assess the impact of minimally invasive surgery (MIS) on survival rates in women diagnosed with endometrial cancer (EC). <b>Methods:</b> A retrospective cohort of 723 women who underwent MIS for EC was analyzed, with 468 having conventional laparoscopy (LPS) and 255 undergoing robotic-assisted laparoscopy (RAL). Sociodemographic features, tumor characteristics, and survival rates were examined for the entire cohort and in a propensity score-matched model. <b>Results:</b> In the overall sample, women who underwent RAL were older, had higher BMI, more comorbidities, and more aggressive tumors. After matching for age, BMI, comorbidities, ASA score, histological type, grade, myometrial invasion, LVSI, and FIGO stage, 482 patients (241 matched pairs) were selected. Disease-free survival (DFS) HR: 1, overall survival (OS) HR: 0.9, and specific survival related to EC (SS) HR: 0.15 were similar between the LPS and RAL groups. <b>Conclusions:</b> These findings suggest that the choice of surgical approach (robotic or laparoscopic) does not impact survival outcomes when matched in homogeneous groups.

Authors

Institutions

Publication Details

Journal
Cancers
Published
2025-01-27
DOI
https://doi.org/10.3390/cancers17030435
Citations
2
Primary Topic
Endometrial and Cervical Cancer Treatments
Type
article
Field-Weighted Citation Impact
4.11
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Survival Impact of Robotic-Assisted Laparoscopy (RAL) vs. Conventional Laparoscopy (LPS) in the Treatment of Endometrial Cancer

Pluvio Coronado, María Ángeles Martínez-Maestre, Myriam Gracia, Laura Baquedano et al.
2 citations
Cancers
Endometrial and Cervical Cancer Treatments
4.11
article

Survival Impact of Robotic-Assisted Laparoscopy (RAL) vs. Conventional Laparoscopy (LPS) in the Treatment of Endometrial Cancer

Pluvio Coronado, María Ángeles Martínez-Maestre, Myriam Gracia, Laura Baquedano, María Fasero, Rafael Sánchez-del Hoyo, Delso Vicente Vanesa, Lucía Sánchez-Barderas
article en
2 citations

Abstract

<b>Objective:</b> This study aimed to assess the impact of minimally invasive surgery (MIS) on survival rates in women diagnosed with endometrial cancer (EC). <b>Methods:</b> A retrospective cohort of 723 women who underwent MIS for EC was analyzed, with 468 having conventional laparoscopy (LPS) and 255 undergoing robotic-assisted laparoscopy (RAL). Sociodemographic features, tumor characteristics, and survival rates were examined for the entire cohort and in a propensity score-matched model. <b>Results:</b> In the overall sample, women who underwent RAL were older, had higher BMI, more comorbidities, and more aggressive tumors. After matching for age, BMI, comorbidities, ASA score, histological type, grade, myometrial invasion, LVSI, and FIGO stage, 482 patients (241 matched pairs) were selected. Disease-free survival (DFS) HR: 1, overall survival (OS) HR: 0.9, and specific survival related to EC (SS) HR: 0.15 were similar between the LPS and RAL groups. <b>Conclusions:</b> These findings suggest that the choice of surgical approach (robotic or laparoscopic) does not impact survival outcomes when matched in homogeneous groups.

CancersVol. 17(3)
Hospital Universitario La Paz (ES), Hospital Clínico San Carlos (ES), Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (ES), Hospital Universitario Miguel Servet (ES), Hospital Universitario Virgen del Rocío (ES)
Good health and well-being
Openalex Percentile: Top 9%
Endometrial and Cervical Cancer Treatments
4.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.