ArticleJournal of surgical case reports2019
Innovative use of mesh bolster for adult Morgagni hernia repair.
Article in Journal of surgical case reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- Article
- Comparison of a novel preperitoneal sublay repair with traditional onlay repair of morgagni hernia: a tale of two techniques.Journal of robotic surgery · 2021Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Morgagni hernia is a rare type of congenital diaphragmatic hernia caused by lack of fusion of the pleuroperitoneal membrane anteriorly leading to a defect in the foramen of Morgagni. These are rare hernias and typically present early in life. Those that do not get repaired during infancy or adolescence often present later in life with variable symptoms including obstruction, incarceration, strangulation, pulmonary symptoms, chest pain, etc. Herein we present an adult case that was found incidentally after a screening computerized tomography (CT) chest scan was done for history of smoking. There are two unique aspects to this case: first, given the large size of her hernia, her only complaint was mild shortness of breath and second, the innovative use of mesh as a suture bolster.
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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.