Evidence map›Paper›PMID 41511586›Full record

ArticleJournal of robotic surgery2026

Clipless robotic LIMA harvesting: monitoring performance and safety through CUSUM and RA-CUSUM analyses.

Laura Asta, Matteo Perfetti, Daniele Marinelli, Gerardo Liberti, Bruno Chiappini, Valentina Mancini, Monica Greci, Gianluca A D'Angelo, Donato Micucci, Piero Pelini and 7 more

Abstract read
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Article in Journal of robotic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

17 authors.

Laura AstaDepartment of Neuroscience, Imaging and Clinical Sciences, University "G.d'Annunzio" Chieti-Pescara, Via dei Vestini 33, Chieti, 66100, CH, Italy. laura.asta@unich.it.
Matteo PerfettiCardiology Department, SS Annunziata Hospital, Via dei Vestini 5, Chieti, 66100, CH, Italy.
Daniele MarinelliDivision of Cardiac Surgery at SS Annunziata Hospital, Via dei Vestini 5, Chieti, 66100, CH, Italy.
Gerardo LibertiDivision of Cardiac Surgery at SS Annunziata Hospital, Via dei Vestini 5, Chieti, 66100, CH, Italy.
Bruno ChiappiniDivision of Cardiac Surgery at SS Annunziata Hospital, Via dei Vestini 5, Chieti, 66100, CH, Italy.
Valentina ManciniDivision of Cardiac Surgery at SS Annunziata Hospital, Via dei Vestini 5, Chieti, 66100, CH, Italy.
Monica GreciDivision of Cardiac Surgery at SS Annunziata Hospital, Via dei Vestini 5, Chieti, 66100, CH, Italy.
Gianluca A D'AngeloDivision of Cardiac Surgery at SS Annunziata Hospital, Via dei Vestini 5, Chieti, 66100, CH, Italy.
Donato MicucciDivision of Cardiac Surgery at SS Annunziata Hospital, Via dei Vestini 5, Chieti, 66100, CH, Italy.
Piero PeliniDivision of Cardiac Surgery at SS Annunziata Hospital, Via dei Vestini 5, Chieti, 66100, CH, Italy.
Massimiliano FoschiDivision of Cardiac Surgery at SS Annunziata Hospital, Via dei Vestini 5, Chieti, 66100, CH, Italy.
Serena RossiCardiology Department, SS Annunziata Hospital, Via dei Vestini 5, Chieti, 66100, CH, Italy.
Emanuele SagazioCardiology Department, SS Annunziata Hospital, Via dei Vestini 5, Chieti, 66100, CH, Italy.
Giovanna D'AmicoDivision of Cardiac Anesthesia and Cardiothoracic Intensive Care Unit at SS. Annunziata Hospital, Via dei Vestini 5, Chieti, 66100, CH, Italy.
Marco MascellantiCardiology Department, SS Annunziata Hospital, Via dei Vestini 5, Chieti, 66100, CH, Italy.
Marco ZimarinoDepartment of Neuroscience, Imaging and Clinical Sciences, University "G.d'Annunzio" Chieti-Pescara, Via dei Vestini 33, Chieti, 66100, CH, Italy.
Umberto BenedettoDepartment of Neuroscience, Imaging and Clinical Sciences, University "G.d'Annunzio" Chieti-Pescara, Via dei Vestini 33, Chieti, 66100, CH, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe left internal mammary artery (LIMA) remains the conduit of choice for coronary artery bypass grafting (CABG). Robotic harvesting has become a growing frontier in cardiac surgical innovation, and therefore optimizing and simplifying the technique is of significant surgical importance. In this study, we present our experience with a clipless robotic LIMA harvesting strategy (cl-LIMA), performed using robotic bipolar diathermy, followed by a hand-sewn anastomosis to the left anterior descending artery (LAD) through a Minimally Invasive Direct Coronary Artery Bypass approach (R-MIDCAB). MATERIALS AND

methodsFifty-seven patients underwent the R-MIDCAB procedure at the SS. Annunziata Hospital in Chieti between May 2024 and November 2025, performed by a single primary surgeon using cl-LIMA technique. Console operating times were evaluated using cumulative sum (CUSUM) analysis. A risk-adjusted CUSUM (RA-CUSUM) model was then constructed, incorporating postoperative complications that were more frequent, clinically significant, and directly influenced by operator performance.

resultsAfter reaching its peak around the early cases, the CUSUM curve showed a steady and uninterrupted downward trajectory. None of the major complications (death within 30 days, major cerebrovascular events, or perioperative myocardial infarctions) occurred. The RA-CUSUM analysis showed no signs of deterioration in performance throughout the entire study period.

conclusionsRobotic harvesting using cl-LIMA technique has been proposed to simplify LIMA take down. In fact, cl-LIMA technique promoted the learning process and did not emerge to be associated with a worsening of the clinical outcome with regards to the most expected complications. Additional data are needed to confirm its safety and efficacy.

Indexed as

Coronary Artery BypassMammary ArteriesRobotic Surgical ProceduresTissue and Organ HarvestingAgedFemaleHumansOperative TimePostoperative ComplicationsCliplessCUSUM: RA-CUSUMRobotic LIMA harvesting

Identifiers

PMID41511586
PMCPMC12789177

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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.