Evidence map›Paper›PMID 39292369›Full record

ReviewJournal of ultrasound2024

Ultrasound assessment of gastrointestinal luminal contents: a narrative review.

Heidi Y Su, Kirstin M Taylor, Antony B Friedman, Giovanni Cataletti, Giovanni Maconi

Abstract readReview
In one paragraph

Review in Journal of ultrasound, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
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

5 authors.

Heidi Y SuDepartment of Gastroenterology, The Alfred Hospital and Monash University, Melbourne, Australia.
Kirstin M TaylorDepartment of Gastroenterology, The Alfred Hospital and Monash University, Melbourne, Australia.
Antony B FriedmanDepartment of Gastroenterology, The Alfred Hospital and Monash University, Melbourne, Australia.
Giovanni CatalettiGastroenterology Unit, Department of Biomedical and Clinical Sciences, "L. Sacco" Hospital, University of Milano, Milan, Italy.
Giovanni MaconiGastroenterology Unit, Department of Biomedical and Clinical Sciences, "L. Sacco" Hospital, University of Milano, Milan, Italy. giovanni.maconi@unimi.it.ORCID http://orcid.org/0000-0003-0810-4026

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastro-intestinal ultrasound (GIUS) is a non-invasive and cost-effective tool, widely used as a first-line diagnostic method in patients presenting with abdominal complaints, especially in patients affected by inflammatory bowel disease (IBD), such as Crohn's disease and ulcerative colitis. In this setting, gastro-intestinal ultrasound has been especially used to evaluate the bowel wall features (thickening, stratification, vascularization) and complications related to IBD (fistulas, abscesses). Nevertheless, gastro-intestinal ultrasound can be also used to detect and evaluate the content of several segments of the gut. In fact, there is a growing interest in utilizing GIUS for suspected functional disorders, where assessing intestinal content may play a significant diagnostic role, as well as directing therapy. In our review, we provided a sonographic description of GIUS appearances of bowel content in various pathological and physiological conditions, offering potential applications in clinical practice and providing insights for further research.

Indexed as

Gastrointestinal DiseasesUltrasonographyGastrointestinal ContentsGastrointestinal TractHumansInflammatory Bowel DiseasesBezoarConstipationContentDilatationGastro-intestinalUltrasound

Identifiers

PMID39292369
PMCPMC11496442

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.