Evidence map›Paper›PMID 39478929›Full record

ArticleJTCVS techniques2024

Short-term outcomes of robotic left ventricular patch ventriculoplasty for significant mitral annular calcification.

Noritsugu Naito, Didier F Loulmet, Michael Dorsey, Xun Zhou, Eugene A Grossi

Abstract read
In one paragraph

Article in JTCVS techniques, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Noritsugu NaitoDepartment of Cardiothoracic Surgery, NYU Langone Health, New York, NY.
Didier F LoulmetDepartment of Cardiothoracic Surgery, NYU Langone Health, New York, NY.
Michael DorseyDepartment of Cardiothoracic Surgery, NYU Langone Health, New York, NY.
Xun ZhouDepartment of Cardiothoracic Surgery, NYU Langone Health, New York, NY.
Eugene A GrossiDepartment of Cardiothoracic Surgery, NYU Langone Health, New York, NY.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Surgical management of mitral annular calcification remains challenging. Our institution pursued a strategy of total mitral annular calcification resection with pericardial patch reconstruction of the left ventricle when primary atrioventricular groove closure was not possible. We present the short-term outcomes derived after implementing this strategy. Methods: A single-institution retrospective analysis included patients with significant mitral annular calcification undergoing totally endoscopic robotic mitral valve surgery between October 2009 and August 2023. Mitral valve repair was performed in patients with sufficient posterior leaflet length. Patients requiring pericardial patch ventriculoplasty were compared with those in whom primary atrioventricular groove closure was possible (non-pericardial patch ventriculoplasty). Results: Of 1441 patients who underwent totally endoscopic mitral valve surgery, 217 (15.1%) presented with significant mitral annular calcification. Pericardial patch ventriculoplasty was performed in 69 patients (31.8%). Patients undergoing non-pericardial patch ventriculoplasty were significantly younger than patients undergoing pericardial patch ventriculoplasty (63.4 vs 67.8 years, Conclusions: Totally endoscopic robotic mitral valve repair is a safe and feasible technique for the management of mitral annular calcification with promising results at 3 years. Patients who required atrioventricular groove pericardial patch reconstruction had similar outcomes to those in whom primary closure was possible.

Indexed as

mitral annular calcificationmitral valve surgeryrobotic cardiac surgery

Identifiers

PMID39478929
PMCPMC11518869

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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.