Evidence map›Paper›PMID 41496954›Full record

ArticleAnnals of medicine and surgery (2012)2026

Single-incision robotic surgery: the emerging milestone in minimally invasive practice.

Hasibullah Aminpoor, Muhammad Khizar, Muhammad Zaib, Abeer Ijaz, Hasiba Karimi

Abstract readLetter
In one paragraph

Article in Annals of medicine and surgery (2012), 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

5 authors.

Hasibullah AminpoorFaculty of Medicine, Kabul University of Medical Sciences "Abu Ali Ibn Sina", Kabul, Afghanistan.ORCID https://orcid.org/0000-0003-1817-7800
Muhammad KhizarFaculty of Medicine, Georgian American University, Manifest Medical Research Co, Tbilisi, Georgia.ORCID https://orcid.org/0009-0005-5229-5052
Muhammad ZaibFaculty of Medicine, Georgian American University, Manifest Medical Research Co, Tbilisi, Georgia.ORCID https://orcid.org/0009-0008-7675-7161
Abeer IjazFaculty of Medicine, SMBBMCL Karachi, Karachi, Pakistan.ORCID https://orcid.org/0009-0004-6993-2778
Hasiba KarimiFaculty of Medicine, Bezmialem Vakif University, Istanbul, Turkey.ORCID https://orcid.org/0000-0002-7618-3849

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-incision robotic surgery (SIRS) has emerged as a progression in minimally invasive practice, enabling complex operations through a single entry point. Modern systems such as the da Vinci SP (Intuitive Surgical, USA) and Versius (CMR Surgical, UK) allow multi-instrument articulation and high-definition visualization through a single port, overcoming the ergonomic and triangulation challenges of traditional laparoscopy. Recent evidence from South Korea, China, the USA, and Turkey demonstrates SIRS's feasibility, safety, and promising clinical outcomes across specialties including urology, gynecology, and general surgery. Studies report lower conversion rates, minimal postoperative pain, and enhanced cosmesis, though cost and learning curve remain limiting factors. As robotic technologies evolve, SIRS is poised to redefine minimally invasive standards through precision, reduced invasiveness, and improved recovery profiles. Rigorous multicenter trials and cost-effectiveness analyses are essential to confirm its broader clinical value.

Indexed as

da Vinci SP systemminimally invasive surgeryrobotic-assisted surgerysingle-incision robotic surgerysingle-port surgeryVersius robotic system

Identifiers

PMID41496954
PMCPMC12768180

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.