Evidence map›Paper›PMID 41368378›Full record

ArticleJTCVS techniques2025

Automated annular suture device versus conventional annular suture technique in endoscopic aortic valve replacement: A propensity score-matched analysis.

Saad Salamate, Ali El-Sayed Ahmad, Ali Bayram, Sami Sirat, Ömür Akhavuz, Mohamed Amer, Jacqueline Kruse, Miriam Silaschi, Mirko Doss, Farhad Bakhtiary

Abstract read
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Article in JTCVS techniques, 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

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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

10 authors.

Saad SalamateDepartment of Cardiac Surgery, University Hospital Bonn, Bonn, Germany.
Ali El-Sayed AhmadDepartment of Cardiac Surgery, University Hospital Bonn, Bonn, Germany.
Ali BayramDivision of Cardiac Surgery, Heart Centre Siegburg, Siegburg, Germany.
Sami SiratDivision of Cardiac Surgery, Heart Centre Siegburg, Siegburg, Germany.
Ömür AkhavuzDepartment of Cardiac Surgery, University Hospital Bonn, Bonn, Germany.
Mohamed AmerDivision of Cardiac Surgery, Helios Klinikum Wuppertal, Wuppertal, Germany.
Jacqueline KruseDepartment of Cardiac Surgery, University Hospital Bonn, Bonn, Germany.
Miriam SilaschiDepartment of Cardiac Surgery, University Hospital Bonn, Bonn, Germany.
Mirko DossDivision of Cardiac Surgery, Heart Centre Siegburg, Siegburg, Germany.
Farhad BakhtiaryDepartment of Cardiac Surgery, University Hospital Bonn, Bonn, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To overcome some of the challenges of endoscopic aortic valve replacement, an automated annular suturing device has been developed and used in aortic valve replacement surgeries. The current study compares the early clinical outcomes of patients who received endoscopic aortic valve replacement with the help of the RAM device (LSI Solutions) versus the conventional annular suture technique. Methods: From March 2017 to March 2025, 1280 patients underwent endoscopic aortic valve replacement via right anterior minithoracotomy in 3 cardiac referral centers in Germany. The RAM automated suture device was used in 259 cases, and the conventional annular suture technique was used in 1021 patients. A propensity score analysis was performed in 259 matched pairs. Results: The mean age in the matched cohort was 61.87 ± 11.24 years, and mean body mass index was 27.04 ± 4.83 kg/m Conclusions: The use of the RAM device in endoscopic aortic valve replacement is as safe, feasible, and effective as the conventional annular suture technique and yields excellent early outcomes. After a short learning curve, the RAM device was associated with reduced surgical time by facilitating annular suturing in endoscopic fashion.

Indexed as

aortic valve surgeryautomated annular suture deviceendoscopic aortic valve replacementendoscopic valve surgerypropensity score matchingright anterior minithoracotomy

Identifiers

PMID41368378
PMCPMC12683065

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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.