Evidence map›Paper›PMID 34326613›Full record

ReviewWorld journal of gastroenterology2021

Non-occlusive mesenteric ischemia: Diagnostic challenges and perspectives in the era of artificial intelligence.

Simon Bourcier, Julian Klug, Lee S Nguyen

Open access · greenAbstract readReview
In one paragraph

Review in World journal of gastroenterology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
7.9field-weighted citation impact, top 2% 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

29 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Nonocclusive Mesenteric Ischemia: A Review for Interventional Radiologists.Interventional radiology (Higashimatsuyama-shi (Japan) · 2025
    Review
  13. Article
  14. Article
  15. Acute superior mesenteric artery embolism: A case report.Experimental and therapeutic medicine · 2025
    Article
  16. Review
  17. Computed Tomography Parameters for Prognosis Prediction in Non-Occlusive Mesenteric Ischemia.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Article
  18. Article
  19. Article
  20. Non-Occlusive Mesenteric Ischemia in Cardiac Arrest Patients.Reviews in cardiovascular medicine · 2023
    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

3 authors at 3 institutions in 2 countries.

Simon BourcierDepartment of Intensive Care Medicine, University Hospital of Geneva, Geneva 1201, Switzerland.
Julian KlugDepartment of Internal Medicine, Groupement Hospitalier de l'Ouest Lémanique, Nyon 1260, Switzerland.
Lee S NguyenDepartment of Intensive Care Medicine, CMC Ambroise Paré, Neuilly-sur-Seine 92200, France. nguyen.lee@icloud.com.
Clinique Ambroise Paré · FRLeman University · CHUniversity Hospital of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute mesenteric ischemia (AMI) is a severe condition associated with poor prognosis, ultimately leading to death due to multiorgan failure. Several mechanisms may lead to AMI, and non-occlusive mesenteric ischemia (NOMI) represents a particular form of AMI. NOMI is prevalent in intensive care units in critically ill patients. In NOMI management, promptness and accuracy of diagnosis are paramount to achieve decisive treatment, but the last decades have been marked by failure to improve NOMI prognosis, due to lack of tools to detect this condition. While real-life diagnostic management relies on a combination of physical examination, several biomarkers, imaging, and endoscopy to detect the possibility of several grades of NOMI, research studies only focus on a few elements at a time. In the era of artificial intelligence (AI), which can aggregate thousands of variables in complex longitudinal models, the prospect of achieving accurate diagnosis through machine-learning-based algorithms may be sought. In the following work, we bring you a state-of-the-art literature review regarding NOMI, its presentation, its mechanics, and the pitfalls of routine work-up diagnostic exams including biomarkers, imaging, and endoscopy, we raise the perspectives of new biomarker exams, and finally we discuss what AI may add to the field, after summarizing what this technique encompasses.

Indexed as

Mesenteric IschemiaArtificial IntelligenceCritical IllnessDiagnostic ImagingHumansIschemiaPrognosisArtificial intelligenceBiomarkersCritically illMachine learningMesenteric ischemia

Identifiers

PMID34326613
PMCPMC8311528
OpenAlexW3181019852

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.