Evidence map›Paper›PMID 41699757›Full record

ReviewJournal of anesthesia, analgesia and critical care2026

Perioperative outcomes and anesthetic challenges of robotic-assisted gynecologic surgery: a systematic review.

Elena Ioppolo, Giulia Tinti, Davide Cucina, Stella Granato, Michela Caramella, Irene Sironi, Francesco Baccoli, Thea Pagani, Leonardo Nelva Stellio, Federico Spelzini and 1 more

Abstract readReview
In one paragraph

Review in Journal of anesthesia, analgesia and critical care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Elena IoppoloSchool of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
Giulia TintiSchool of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy. giuliatinti@yahoo.it.
Davide CucinaSchool of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
Stella GranatoSchool of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
Michela CaramellaSchool of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
Irene SironiSchool of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
Francesco BaccoliSchool of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
Thea PaganiSchool of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy.
Leonardo Nelva StellioDepartment of Obstetrics and Gynecology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Federico SpelziniDepartment of Obstetrics and Gynecology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Vito TorranoDepartment of Anesthesia, Critical Care and Pain Medicine, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobotic-assisted gynecologic (RAS) surgery offers enhanced precision, ergonomics, and visualization compared with open (OP) and laparoscopic (LAP) approaches. However, it introduces distinct anesthetic challenges related to patient positioning, airway access, and postoperative recovery and analgesia. This review aims to evaluate perioperative outcomes across four domains: intraoperative anesthetic management, postoperative recovery, pain control strategies, and surgical performance.

methodsWe performed a systematic review of the current literature on adult women undergoing robotic-assisted gynecologic surgery under general anesthesia. Data on perioperative outcomes across the aforementioned domains were extracted via standardized selection, extraction, and bias assessment methods.

resultsA total of 479 papers were included in the study following screening of over 10,000 citations. Intraoperatively, airway complications were infrequently reported; however, a few cases of increased pulmonary pressures and hypercapnia emerged. Postoperatively, RAS was associated with shorter hospital stay (mean 2.52 days RAS vs. 1.85 LAP vs. 5.11 OP) and faster return to daily activities (mean 11.4 days RAS vs. 13.6 LAP vs. 13.2 OP), but evidence for validated quality of recovery scores was lacking. Pain intensity and analgesic requirements were found to be lower after RAS than after OP and sometimes LAP, with inconsistent findings across studies. Surgical outcomes favored RAS, showing reduced blood loss (mean 154 mL RAS vs. 149 LAP vs. 358 OP), lower conversion and major complications rates than other approaches. Oncologic metrics-including lymph node yield and R0 resection-were comparable across approaches. Overall study quality was limited by a moderate to serious risk of bias across most outcomes.

conclusionRobotic-assisted gynecologic surgery is a feasible and safe alternative to laparoscopic and open approaches, with advantages in selected surgical outcomes and potential benefits in postoperative pain and recovery. However, further high-quality randomized studies are needed to confirm these benefits. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD420251105240.

Indexed as

Anesthesia managementEnhanced recovery after surgeryGynecologic robotic-assisted surgeryPain managementPostoperative recovery

Identifiers

PMID41699757
PMCPMC13015174

What Socratic holds

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LicenceCC BY-NC-ND
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 Socratic graph.