Evidence map›Paper›PMID 41156226›Full record

ReviewJournal of clinical medicine2025

Robotic-Assisted Vascular Surgery: Current Landscape, Challenges, and Future Directions.

Yaman Alsabbagh, Young Erben, Adeeb Jlilati, Joaquin Sarmiento, Christopher Jacobs, Enrique F Elli, Houssam Farres

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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

7 authors.

Yaman AlsabbaghDivision of Vascular and Endovascular Surgery, Mayo Clinic, Jacksonville, FL 32224, USA.ORCID 0000-0002-5387-5578
Young ErbenDivision of Vascular and Endovascular Surgery, Mayo Clinic, Jacksonville, FL 32224, USA.
Adeeb JlilatiDivision of Vascular and Endovascular Surgery, Mayo Clinic, Jacksonville, FL 32224, USA.ORCID 0000-0003-1664-7979
Joaquin SarmientoDivision of Vascular and Endovascular Surgery, Mayo Clinic, Jacksonville, FL 32224, USA.
Christopher JacobsDivision of Vascular and Endovascular Surgery, Mayo Clinic, Jacksonville, FL 32224, USA.
Enrique F ElliDepartment of Surgery, Mayo Clinic, Jacksonville, FL 32224, USA.
Houssam FarresDivision of Vascular and Endovascular Surgery, Mayo Clinic, Jacksonville, FL 32224, USA.ORCID 0000-0002-5740-1601

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vascular surgery has evolved from durable yet invasive open reconstructions to less traumatic endovascular techniques. While endovascular repair reduces perioperative morbidity, it introduces durability challenges and the need for lifelong surveillance. Laparoscopic surgery bridged some gaps but was hindered by steep learning curves and technical limitations. Robotic-assisted surgery represents a "third revolution", combining the durability of open repair with the recovery and ergonomic benefits of minimally invasive approaches through enhanced 3D visualization, wristed instrumentation, and tremor filtration. This review synthesizes current evidence on robotic applications in vascular surgery, including aortic, visceral, venous, and endovascular interventions. Feasibility of robotic vascular surgery has been demonstrated in over 1500 patients across aortic, visceral, venous, and decompression procedures. Reported outcomes include pooled conversion rates of ~5%, 30-day mortality of 1-3%, and long-term patency rates exceeding 90% in aortoiliac occlusive disease. Similarly favorable outcomes have been observed in AAA repair, visceral artery aneurysm repair, IVC reconstructions, renal vein transpositions, and minimally invasive decompression procedures such as median arcuate ligament and thoracic outlet syndromes. Endovascular robotics enhances catheter navigation precision and reduces operator radiation exposure by 85-95%, with multiple series demonstrating consistent benefit compared to manual techniques. Despite these advantages, adoption is limited by high costs, lack of dedicated vascular instruments, absent haptic feedback on most platforms, and the need for standardized training. Most available evidence is observational and from high-volume centers, highlighting the need for multicenter randomized trials. Future directions include AI-enabled planning and augmented-reality navigation, which are the most feasible near-term technologies since they rely largely on software integration with existing systems. Other advances such as microsurgical robotics, soft-robotic platforms, and telesurgery remain longer-term developments requiring new hardware and regulatory pathways. Overcoming barriers through collaborative innovation, structured training, and robust evidence generation is essential for robotics to become a new standard in vascular care.

Indexed as

AIaortic repairDa VinciendovascularMALSnutcracker syndromerobotic surgerTOS

Identifiers

PMID41156226
PMCPMC12565110

What Socratic 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 Socratic graph.