Evidence map›Paper›PMID 42232265›Full record

ArticleJournal of visualized surgery2025

Robotic multi-vessel off-pump totally endoscopic coronary artery bypass (TECAB) procedure: surgical technique.

Husam H Balkhy, Yazan AlJamal

Abstract read
In one paragraph

Article in Journal of visualized surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Husam H BalkhySection of Cardiac and Thoracic Surgery, Robotic and Minimally Invasive Cardiac Surgery, The University of Chicago Medicine & Biological Sciences, Chicago, IL, USA.
Yazan AlJamalThe University of Chicago Medicine & Biological Sciences, Chicago, IL, USA.ORCID https://orcid.org/0000-0002-0056-2711

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic totally endoscopic coronary artery bypass (TECAB) is a highly advanced yet evolving surgical technique for coronary artery disease. While it is not yet a standard procedure, ongoing developments in robotic technology have positioned it as a promising option for the future. TECAB allows for multi-vessel coronary artery bypass using bilateral internal mammary artery (BIMA) grafts in a completely minimally invasive, off-pump approach. With over 15 years of experience performing TECAB, we have refined patient selection criteria and surgical techniques. Initially, pleural scarring or diffuse coronary artery disease were considered contraindications. However, the precision and magnification provided by robotic platforms have enabled us to expand indications, including for redo surgeries where internal mammary artery grafts are still viable. While the operation is typically limited to left coronary artery bypass, recent cases have demonstrated its feasibility for right coronary artery branches under specific conditions. We believe that the off-pump approach in this setting has significant advantages for early patient recovery and return to full function. While technically demanding we have demonstrated excellent graft patency and long-term outcomes with this procedure. In this video, we present our current technique for robotic multivessel off-pump TECAB using the da Vinci Si surgical system. We will outline patient presentation, surgical steps, and key technical insights to demonstrate how this minimally invasive approach continues to evolve and expand its clinical utility.

Indexed as

multivessel revascularizationoff-pump coronary artery bypass grafting (off-pump CABG)robotic surgeryTotally endoscopic coronary artery bypass (TECAB)

Identifiers

PMID42232265
PMCPMC13225059

What OpenQuestion holds

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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.