Evidence map›Paper›PMID 41395306›Full record

ReviewFrontiers in pediatrics2025

Current approaches to predicting intraventricular hemorrhage in preterm neonates using blood biomarkers.

Marie Kasíková, Pavel Brož, Jiří Dort, Ondřej Topolčan

Abstract readReview
In one paragraph

Review in Frontiers in pediatrics, 2025. 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
–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

1 citing paper in PubMed.

  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

4 authors.

Marie KasíkováDepartment of Neonatology, University Hospital in Pilsen, Pilsen, Czechia.
Pavel BrožFaculty of Medicine in Pilsen, Charles University, Pilsen, Czechia.
Jiří DortDepartment of Neonatology, University Hospital in Pilsen, Pilsen, Czechia.
Ondřej TopolčanFaculty of Medicine in Pilsen, Charles University, Pilsen, Czechia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intraventricular hemorrhage (IVH) is a serious complication of preterm birth that can lead to permanent neurodevelopmental impairment. In recent years, there has been increasing interest in identifying and validating biomarkers capable of predicting the onset and progression of IVH, as well as other forms of neonatal brain injury. The implementation of reliable biomarkers into routine clinical practice represents a crucial step toward developing effective neuroprotective strategies and preventing irreversible brain damage in preterm infants. This review summarizes the current state of knowledge regarding blood-based biomarkers and their potential to predict the risk of IVH in preterm neonates. We focus on markers of brain injury, inflammatory markers, growth factors, vasoactive substances, indicators of oxidative stress, and emerging findings from the fields of genomics, proteomics, and metabolomics. We highlight the most promising biomarker candidates, discuss their biological plausibility, and critically evaluate the methodological challenges currently limiting their clinical translation. Furthermore, we outline future research directions that may facilitate the development of reliable diagnostic tools and promote the integration of personalized neuroprotective strategies into neonatal care. The early and accurate prediction of IVH remains a major unmet need in neonatology, and advances in biomarker-based approaches hold considerable promise for guiding clinical decision-making and improving long-term neurodevelopmental outcomes in preterm infants.

Indexed as

biomarkerscerebral intraventricular hemorrhageearly detection of diseaseextremely preterm infantsneonate

Identifiers

PMID41395306
PMCPMC12698575

What Socratic 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 Socratic graph.