ArticleAnnals of thoracic surgery short reports2024
Hybrid Setting for Minimally Invasive Mitral Surgery in Patients With Inferior Vena Caval Filters.
Article in Annals of thoracic surgery short reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- Anesthesia for Minimally Invasive Coronary Artery Bypass Surgery.Journal of cardiovascular development and disease · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Current cardiac surgery has evolved to include hybrid and minimally invasive settings. In parallel, less invasive techniques have been extended to complex clinical scenarios and may prove even more beneficial in higher-risk patients. However, comorbidities and challenging anatomy still represent limitations to widespread application of this philosophy. Previously implanted filters in the inferior vena cava may limit the feasibility and safety of peripheral cannulation techniques. Successful minimally invasive operations in a hybrid setting in 2 patients with caval filters are reported.
Identifiers
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Registered trials
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.