Evidence map›Paper›PMID 42369687›Full record

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

A Review of Robotic vNOTES Surgery: Current Applications, Advantages, and Future Directions.

Daniel Y Lovell, Qiannan Yang, Xiaoming Guan

Abstract readReview
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

3 authors.

Daniel Y LovellDepartment of Minimally Invasive Gynecologic Surgery, Baylor College of Medicine, Houston, TX 77030, USA.
Qiannan YangDepartment of Minimally Invasive Gynecologic Surgery, Baylor College of Medicine, Houston, TX 77030, USA.
Xiaoming GuanDepartment of Minimally Invasive Gynecologic Surgery, Baylor College of Medicine, Houston, TX 77030, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past 500 years, the convergence of three distinct paths - vaginal surgery, laparoscopy, and robotic technologies - has enabled the development of robot-assisted vaginal natural orifice transluminal endoscopic surgery (RA-vNOTES). The ongoing evolution of vaginal surgery has led to contemporary procedures such as hysterectomy, myomectomy, sacrocolpopexy, adnexal interventions, and oncologic operations, applicable to a wide range of diagnoses and pathologies. This approach offers patients significant benefits, including superior cosmetic outcomes, less pain, lower infection rates, and faster recovery of baseline quality of life. Surgeons benefit from improved ergonomics, better visualization, the ability to use multiple instruments, and enhanced tremor control. Robotic assistance has greatly expanded the ability to safely perform more complex cases, such as excision of stage 4 endometriosis with complete posterior cul-de-sac obliteration, as well as other procedures previously considered contraindicated in traditional vaginal surgery. Here, we present current findings and advances in RA-vNOTES and consider future developments in robotic surgery aimed at further improving minimally invasive techniques.

Indexed as

Gynecologic Surgical ProceduresNatural Orifice Endoscopic SurgeryRobotic Surgical ProceduresVaginaFemaleHumansGynecologyMinimally invasive surgeryReviewRobotic surgerySurgical innovationvNOTES

Identifiers

PMID42369687
PMCPMC13303223

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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 OpenQuestion graph.