ArticleCureus2022
Is Abdominal Cocoon a Sequela in Recovered Cases of Severe COVID-19?
Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Abdominal cocoon is one of the rare causes of intestinal obstruction mostly diagnosed at the operating table. Its etiology is primarily unknown but can be secondary to known causes. The involvement of the gastrointestinal (GI) system was a common feature during the second wave of COVID-19, and at present, there are reports of GI symptoms in patients who have completely recovered from COVID-19. Abdominal cocoon formation has been reported during the active stage of COVID-19 but not as its sequela. We report two cases with a high degree of suspicion of abdominal cocoon formation in middle-aged individuals with no comorbidities, who recovered from a severe form of COVID-19.
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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.