Evidence map›Paper›PMID 34962951›Full record

ArticlePloS one2021

Mathematical modeling of the hematocrit influence on cerebral blood flow in preterm infants.

Irina Sidorenko, Varvara Turova, Esther Rieger-Fackeldey, Ursula Felderhoff-Müser, Andrey Kovtanyuk, Silke Brodkorb, Renée Lampe

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Analysis of the Role of Vasa Vasorum in the Oxygen Transport to the Aneurysm Wall.International journal for numerical methods in biomedical engineering · 2025
    Article
  5. 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

7 authors at 4 institutions in 1 country.

Irina SidorenkoChair of Mathematical Modeling, Mathematical Faculty, Technical University of Munich, Garching, Germany.
Varvara TurovaResearch Unit for Pediatric Neuroorthopedics and Cerebral Palsy of the Buhl-Strohmaier Foundation, Orthopedic Department, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Esther Rieger-FackeldeyDepartment of Pediatrics, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Ursula Felderhoff-MüserNeonatology, Pediatric Intensive Care, Pediatric Neurology, Department of Pediatrics I, University Hospital Essen, University Duisburg-Essen, Essen, Germany.
Andrey KovtanyukResearch Unit for Pediatric Neuroorthopedics and Cerebral Palsy of the Buhl-Strohmaier Foundation, Orthopedic Department, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Silke BrodkorbNeonatology Department, Munich Clinic Harlaching, Munich, Germany.
Renée LampeResearch Unit for Pediatric Neuroorthopedics and Cerebral Palsy of the Buhl-Strohmaier Foundation, Orthopedic Department, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.ORCID 0000-0002-1016-0249
TUM Klinikum · DEMünchen Klinik Harlaching · DETechnical University of Munich · DEUniversity of Duisburg-Essen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Premature birth is one of the most important factors increasing the risk for brain damage in newborns. Development of an intraventricular hemorrhage in the immature brain is often triggered by fluctuations of cerebral blood flow (CBF). Therefore, monitoring of CBF becomes an important task in clinical care of preterm infants. Mathematical modeling of CBF can be a complementary tool in addition to diagnostic tools in clinical practice and research. The purpose of the present study is an enhancement of the previously developed mathematical model for CBF by a detailed description of apparent blood viscosity and vessel resistance, accounting for inhomogeneous hematocrit distribution in multiscale blood vessel architectures. The enhanced model is applied to our medical database retrospectively collected from the 254 preterm infants with a gestational age of 23-30 weeks. It is shown that by including clinically measured hematocrit in the mathematical model, apparent blood viscosity, vessel resistance, and hence the CBF are strongly affected. Thus, a statistically significant decrease in hematocrit values observed in the group of preterm infants with intraventricular hemorrhage resulted in a statistically significant increase in calculated CBF values.

Indexed as

Cerebrovascular CirculationHematocritBody WeightBrainCerebral HemorrhageFemaleGestational AgeHumansInfant, Extremely PrematureInfant, NewbornInfant, PrematureMaleModels, TheoreticalRetrospective StudiesViscosity

Identifiers

PMID34962951
PMCPMC8714087
OpenAlexW4200567039

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.