Evidence map›Paper›PMID 42369714›Full record

ReviewSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2026

[Applying Robot-Assisted Single-Port Laparoscopic Surgery in Gynecology: Technological Paradigm Innovations and Clinical Advances].

Fan Yang, Ying Zheng

Abstract readReviewEnglish Abstract
In one paragraph

Review in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 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

2 authors.

Fan Yang() ( 610041)Department of Gynecology and Obstetrics, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu 610041, China.ORCID 0000-0002-2318-2340
Ying Zheng() ( 610041)Department of Gynecology and Obstetrics, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu 610041, China.ORCID 0000-0002-7136-0113

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the continuous development of robot-assisted single-port laparoscopic surgery in gynecology, its indications have gradually expanded from benign gynecologic diseases to malignant tumors, reflecting an emerging trend toward the integration of robotic technology and single-port minimally invasive surgery. This review primarily discusses the clinical application of robotic systems such as the da Vinci Xi platform and domestically developed single-port robotic systems in various complex surgical procedures, as well as the development of technical strategies for optimizing instrument layout and overcoming operative limitations. From a technical perspective, the use of 3-dimensional high-definition visualization, flexible wristed instrumentation, and tremor filtration, combined with innovative surgical paradigms, has effectively addressed the problem of instrument interference in single-port surgery, thereby enabling precise resection, rapid postoperative recovery, and superior cosmetic outcomes with minimal visible scarring. Although dedicated single-port systems still face technical challenges and long-term outcome data remain limited, the future integration of artificial intelligence and remote technologies will further validate their clinical efficacy and promote the standardized application of this approach in gynecological clinical practice.

Indexed as

Gynecologic Surgical ProceduresLaparoscopyRoboticsRobotic Surgical ProceduresFemaleHumansMinimally Invasive Surgical ProceduresGynecological surgeryReviewRobot-assisted surgical systemSingle-port laparoscopic surgery

Identifiers

PMID42369714
PMCPMC13303390

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.