Evidence map›Paper›PMID 38916615›Full record

ReviewAbdominal radiology (New York)2024

Don't be thrown for a loop: a review of internal hernias for the abdominal imager.

Edwarda Golden, Claire Brookmeyer, Erin Gomez

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Paraduodenal Hernia With Intestinal Obstruction During Pregnancy.The American journal of case reports · 2026
    Article
  3. Article
  4. Article
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

3 authors.

Edwarda GoldenThe Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 601 N Wolfe St, Baltimore, MD, 21287, USA. egolden5@jh.edu.ORCID 0000-0002-1096-9806
Claire BrookmeyerThe Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 601 N Wolfe St, Baltimore, MD, 21287, USA.ORCID 0000-0002-1192-3084
Erin GomezThe Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 601 N Wolfe St, Baltimore, MD, 21287, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Internal hernias are herniations of abdominal viscera, usually small bowel, through congenital or acquired openings of the peritoneum or mesentery. Congenital hernias may involve anatomic fossae such as the epiploic foramen as well as those related to abnormal peritoneal or mesenteric defects; these include left and right paraduodenal, transomental, transmesenteric, pericecal and broad ligament hernias. Acquired hernias are due to defects in the mesentery or peritoneum, usually resulting from prior surgeries, and include those associated with Roux-en-Y surgery as well as colorectal cancer resections. Internal hernias account for 5.8% of small obstructions. Obstructed internal hernias are considered surgical emergencies due to the high risk of bowel strangulation. This review summarizes the various types of congenital and acquired internal hernias, their relevant anatomy, embryology, associated surgical history and imaging appearance. We will also discuss a location-based approach to identifying internal hernias on CT, as well as complications and relevant signs, of which abdominal imagers should be vigilant.

Indexed as

Internal HerniaHernia, AbdominalHumansRadiography, AbdominalTomography, X-Ray ComputedComputed tomographyDiagnostic imagingInternal hernias

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.