Evidence map›Paper›PMID 39452903›Full record

ReviewMetabolites2024

Struggling to Understand the NEC Spectrum-Could the Integration of Metabolomics, Clinical-Laboratory Data, and Other Emerging Technologies Help Diagnosis?

Kosmas Sarafidis, Eleni Agakidou, Angeliki Kontou, Charalampos Agakidis, Josef Neu

Abstract readReview
In one paragraph

Review in Metabolites, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Artificial intelligence-guided nutritional therapy in the ICU.Current opinion in clinical nutrition and metabolic care · 2026
    Review
  3. Review
  4. Article
  5. Review
  6. Assessment of Breastmilk Microbiome Focusing on Probiotics.Iranian journal of nursing and midwifery research
    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

5 authors.

Kosmas Sarafidis1st Department of Neonatology, School of Medicine, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece.ORCID 0000-0002-6806-6343
Eleni Agakidou1st Department of Neonatology, School of Medicine, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece.ORCID 0000-0001-7361-0510
Angeliki Kontou1st Department of Neonatology, School of Medicine, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece.ORCID 0000-0002-9961-9537
Charalampos Agakidis1st Department of Pediatrics, School of Medicine, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece.
Josef NeuDepartment of Pediatrics, Division of Neonatology, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0002-6973-0592

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Necrotizing enterocolitis (NEC) is the most prevalent and potentially fatal intestinal injury mainly affecting premature infants, with significant long-term consequences for those who survive. This review explores the scale of the problem, highlighting advancements in epidemiology, the understanding of pathophysiology, and improvements in the prediction and diagnosis of this complex, multifactorial, and multifaced disease. Additionally, we focus on the potential role of metabolomics in distinguishing NEC from other conditions, which could allow for an earlier and more accurate classification of intestinal injuries in infants. By integrating metabolomic data with other diagnostic approaches, it is hoped to enhance our ability to predict outcomes and tailor treatments, ultimately improving care for affected infants.

Indexed as

definitionintestinal injuryneonateomicssubtyping

Identifiers

PMID39452903
PMCPMC11509608

What OpenQuestion holds

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LicenceCC BY
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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.