ArticleBJR case reports2021
Can we detect fibrofatty band in patients with bowel obstruction on CT scan?
Article in BJR case reports, 2021. 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, 2 citations in OpenAlex.
- Small Bowel Obstruction in Virgin Abdomen: Predictors of Surgical Intervention Need in Resource-Limited Setting.Journal of multidisciplinary healthcare · 2023Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fibrofatty bands are composed of adipose tissue and connective tissue and can tangle around the bowel and caused intestinal obstruction. Currently, there is a lack of radiological teaching or guidance on how to identify fibrofatty band in patients with bowel obstruction. The true incidence of fibrofatty band-induced bowel obstruction is likely to have been overlooked. We present a case series of patients with fibrofatty bands with different features and aim to highlight the key radiological findings that may help in the radiological diagnosis. We advocate that these features should be incorporated into the current algorithm for radiologist when assessing scan images of patients with intestinal obstruction.
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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.