Evidence map›Paper›PMID 38757010›Full record

ArticleArchives of medical science : AMS2024

Novel scoring system for early diagnosis of necrotizing enterocolitis: integrating clinical and laboratory data with urinary caveolin-1 levels.

Brigitta I R V Corebima, Rinawati Rohsiswatmo, Dewi Santosaningsih, Wisnu Barlianto, Kusworini Handono

Abstract read
In one paragraph

Article in Archives of medical science : AMS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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.

Brigitta I R V CorebimaDoctoral Program in Medical Science, Faculty of Medicine, Brawijaya University, Indonesia.
Rinawati RohsiswatmoDepartment of Pediatrics, Faculty of Medicine, University of Indonesia/Dr. Cipto Mangunkusumo General Hospital, Indonesia.
Dewi SantosaningsihDepartment of Clinical Microbiology, Faculty of Medicine, Brawijaya University/Saiful Anwar General Hospital, Indonesia.
Wisnu BarliantoDepartment of Pediatrics, Faculty of Medicine, Brawijaya University/Saiful Anwar General Hospital, Indonesia.
Kusworini HandonoDepartment of Clinical Pathology, Faculty of Medicine, Brawijaya University/Saiful Anwar General Hospital, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Necrotizing enterocolitis (NEC) poses a significant threat to preterm infants, with nonspecific early manifestations complicating timely diagnosis. Therefore, this study aimed to develop a novel scoring system for early diagnosis of NEC, incorporating clinical and laboratory data with urinary caveolin-1 levels. Material and methods: A single-center prospective cohort study was conducted at a tertiary hospital in East Java, Indonesia. NEC diagnosis was established by Bell's criteria and proven gut dysbiosis. Urinary levels of claudin-2, caveolin-1, and epidermal growth factor (EGF) were assessed as potential indicators of tight junction disruption. The selected urine biomarker cutoff value was determined using symbolic classification analysis and combined with clinical and laboratory parameters from Bell's criteria to create an NEC scoring system, validated with the Aiken index. Sensitivity and specificity analyses were performed. Results: Thirty-four neonates, comprising NEC, preterm non-NEC, and term infants, were included. qPCR analysis highlighted elevated Conclusions: Urine caveolin-1 on day 3 signifies enterocyte tight junction damage and the acute phase of NEC in premature infants. The proposed scoring system demonstrates good performance in predicting NEC incidence in preterm infants.

Indexed as

caveolin-1gut dysbiosisnecrotizing enterocolitisprematurityscoring systemtight junction

Identifiers

PMID38757010
PMCPMC11094821

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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.