Evidence map›Paper›PMID 29026981›Full record

ArticleChild's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery2018

A clinical scoring system to predict the development of intraventricular hemorrhage (IVH) in premature infants.

Yesim Coskun, Semra Isik, Tevfik Bayram, Kamran Urgun, Sibel Sakarya, Ipek Akman

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 34 citations in OpenAlex.

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  14. Perinatal prediction model for severe intraventricular hemorrhage and the effect of early postnatal acidosis.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2018
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  15. IVH scoring system.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2018
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Yesim CoskunDepartment of Pediatrics, Goztepe Medical Park Hospital, Bahcesehir University School of Medicine, E5 Uzeri 23 Nisan Sokak No:17 34732 Merdivenkoy/Goztepe, Istanbul, Turkey. coskunyesim@yahoo.com.ORCID 0000-0002-7359-508X
Semra IsikDepartment of Neurosurgery, Goztepe Medical Park Hospital, Bahcesehir University School of Medicine, Istanbul, Turkey.
Tevfik BayramDepartment of Public Health, Marmara University School of Medicine, Istanbul, Turkey.
Kamran UrgunDepartment of Neurosurgery, Goztepe Medical Park Hospital, Bahcesehir University School of Medicine, Istanbul, Turkey.
Sibel SakaryaDepartment of Public Health, Marmara University School of Medicine, Istanbul, Turkey.
Ipek AkmanDepartment of Pediatrics, Goztepe Medical Park Hospital, Bahcesehir University School of Medicine, E5 Uzeri 23 Nisan Sokak No:17 34732 Merdivenkoy/Goztepe, Istanbul, Turkey.
Bahçeşehir University · TRMarmara University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

OBJECTıVE: The aim of this study is to develop a scoring system for the prediction of intraventricular hemorrhage (IVH) in preterm infants in the first 7 days of life.

methodsA prospective, clinical study was conducted in Bahcesehir University, Medical Park Goztepe Hospital Neonatal Intensive Care Unit, with the enrollment of 144 preterm infants with gestational age between 24 and 34 weeks. All preterms were followed up for IVH after birth until the 4th week of life. The demographic characteristics and clinical risk factors were noted. Risk factors were analyzed. The score was established after logistic regression analysis, considering the impact of each variable on the occurrence of IVH within the first 7 days of life. The IVH scores were further applied prospectively to 89 preterm infants as validation cohort.

resultsLow gestational age (GA), low Apgar score, and having bleeding diathesis were the most important risk factors for IVH. According to these risk factors, a scoring system was developed for IVH ranged from 0 to 5. According to the risk ratios (RR) obtained from the logistic regression model, low GA (≤ 28 gestational week), presence of bleeding diathesis within 7 days, and low Apgar score increased the risk of IVH (RR = 3.32 for GA ≤ 28 gestational week, RR = 6.7 for presence of bleeding diathesis in 7th day, RR = 3 for having low Apgar score). The score was validated successfully in 89 infants. The area under ROC curve was 0.85 for derivation cohort and 0.807 for validation cohort. The predictive ability of the IVH score for derivation and validation cohort was calculated. The negative predictive values of a score less than 4 were 96.4 and 59.1%. CONCLUSıON: Concerning IVH-related sequelae which continue to be a major public health problem, we have developed a feasible predictive model for evaluating the risk for developing IVH for preterm infants in the first 7 days of life.

Indexed as

AlgorithmsCerebral VentriclesInfant, PrematureApgar ScoreDisease SusceptibilityFemaleGestational AgeHumansInfant, NewbornIntracranial HemorrhagesMalePredictive Value of TestsProspective StudiesReproducibility of ResultsRisk FactorsIntraventricular hemorrhagePredictionPreterm

Identifiers

PMID29026981
OpenAlexW2763479748

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Registered trials

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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.