Evidence map›Paper›PMID 38297156›Full record

ArticlePediatric research2024

Do hematological biomarkers predict surgical necrotizing enterocolitis?

Srinivasan Mani, Parvesh Mohan Garg, Mohan Pammi

Abstract read
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In one paragraph

Article in Pediatric research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

3 authors at 3 institutions in 1 country.

Srinivasan ManiDepartment of Pediatrics/Neonatology, The University of Toledo, ProMedica Russell J. Ebeid Children's Hospital, Toledo, OH, USA.
Parvesh Mohan GargDepartment of Pediatrics/Neonatology, Brenner Children's at Atrium Health Wake Forest Baptist and Wake Forest University School of Medicine, Winston Salem, NC, USA.
Mohan PammiDept. of Pediatrics, Division of Neonatology, Baylor College of Medicine & Texas Children's Hospital, Houston, TX, USA. mohanv@bcm.edu.
Atrium Health Wake Forest Baptist · USBaylor College of Medicine · USProMedica Russell J. Ebeid Children's Hospital · US

Funding

Machine Learning and Multiomics for Predictive Models and Biomarker Discovery in Preterm Infants.R01HD112886 · NICHD · BAYLOR COLLEGE OF MEDICINE · PI Mohan Pammi · 2023 to 2026
$2.6M
6 · The paper itself

Abstract

Necrotizing enterocolitis (NEC) is a devastating gastrointestinal emergency in preterm infants and the clinical presentation of NEC may vary with gestational age. We lack reliable biomarkers for early diagnosis of NEC limiting timely intervention. Hematological changes in NEC are actively researched for their potential role as biomarkers. The pattern and severity of hematological abnormalities have been correlated with rapid progression, the need for surgery, increased risk of mortality, and morbidity. In this issue of Pediatric Research, Chong et al. report GA-specific hematological biomarkers in preterm infants with NEC that could predict the need for surgery. Thrombocytopenia at NEC onset was an independent predictor of surgical intervention in extremely preterm infants. Persistent thrombocytopenia and lymphopenia at 72 h and elevated C-reactive protein at 48 h after NEC onset, predicted surgery in infants of 28 to <32 weeks GA. Persistent thrombocytopenia at 24 h after the onset of NEC was predictive of mortality in infants who underwent surgery. Well-designed, prospective, multi-center studies are needed to confirm the role of hematological biomarkers in early diagnosis and prognostication in NEC.

Indexed as

BiomarkersEnterocolitis, NecrotizingInfant, PrematureThrombocytopeniaC-Reactive ProteinGestational AgeHumansInfant, NewbornLymphopeniaPredictive Value of TestsPrognosisBiomarkersC-Reactive Protein

Identifiers

PMID38297156
OpenAlexW4391383257

What OpenQuestion holds

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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.