Evidence map›Paper›PMID 37016034›Full record

ReviewRadiologie (Heidelberg, Germany)2023

[Update: Small bowel diseases in computed tomography and magnetic resonance imaging].

Stefan Andreas Schmidt, Meinrad Beer, Daniel Vogele

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Radiologie (Heidelberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Stefan Andreas SchmidtKlinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Deutschland. stefan.schmidt@uniklinik-ulm.de.
Meinrad BeerKlinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Deutschland.
Daniel VogeleKlinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Deutschland.
University Hospital Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

clinical/methodical issueRadiological procedures play a crucial role in the diagnosis of small bowel disease. Due to a broad and quite nonspecific spectrum of symptoms, clinical evaluation is often difficult, and endoscopic procedures require significant manpower, are time-consuming and expensive. In contrast, radiologic imaging can provide important information about morphologic and functional variations of the small bowel and help to identify various disease entities, such as inflammation, tumors, vascular problems, and obstruction. STANDARD RADIOLOGICAL

methodsThe most common radiological modalities in small bowel diagnostics include ultrasound (US), computed tomography (CT), magnetic resonance imaging (MRI), and fluoroscopy. Each of these modalities has its own advantages and limitations, and the choice of imaging modality depends on clinical symptoms and suspected diagnosis in addition to availability. METHODOLOGICAL INNOVATIONS: In recent years, significant progress has been made, especially in cross-sectional imaging modalities, as a result of new and further technical developments. PERFORMANCE: These range from increasing detail resolution to functional and molecular imaging techniques that go far beyond simple morphology. In addition, information technology (IT) applications, which include artificial intelligence and radiomics, are assuming an increasing role. ACHIEVEMENTS: Many of the methods mentioned are still in early stages and need to be further developed for daily practice, but some have already found their way into clinical routine. PRACTICAL RECOMMENDATIONS: The aim of this work is to provide a review of the most important disease entities of the small intestine, including new and innovative diagnostic approaches.

Indexed as

Artificial IntelligenceIntestinal DiseasesHumansMagnetic Resonance ImagingRadiographyTomography, X-Ray ComputedUltrasonographyArtificial intelligenceImagingRadionomicsSmall intestineUpdate

Identifiers

PMID37016034
OpenAlexW4362601411

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.