Evidence map›Paper›PMID 29916044›Full record

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

Perinatal prediction model for severe intraventricular hemorrhage and the effect of early postnatal acidosis.

Juyoung Lee, Mee Hong, Sook Kyung Yum, Jung Hyun Lee

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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 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  8. Article
  9. A predictive clinical model for moderate to severe intraventricular hemorrhage in very low birth weight infants.Journal of perinatology : official journal of the California Perinatal Association · 2022
    Observational
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4 · The record

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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 at 2 institutions in 1 country.

Juyoung LeeDepartment of Pediatrics, Bucheon St. Mary's Hospital, The Catholic University of Korea, Seoul, South Korea.
Mee HongDepartment of Pediatrics, St. Vincent's Hospital, The Catholic University of Korea, Seoul, South Korea.
Sook Kyung YumDepartment of Pediatrics, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, South Korea.
Jung Hyun LeeDepartment of Pediatrics, St. Vincent's Hospital, The Catholic University of Korea, Seoul, South Korea. ljhped@catholic.ac.kr.ORCID 0000-0002-1849-733X
The Catholic University of Korea St. Vincent's Hospital · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSevere acidosis is one of the strongest predictors of neurologic outcomes in full-term infants with suspected hypoxic-ischemic encephalopathy. However, the relative importance of acidosis as a predictor of outcomes in preterm infants is much less clear. The goals of the present study were to examine the association between postnatal acidosis and severe intraventricular hemorrhage (IVH) and to establish a new score model including acid-base status after birth for predicting the risk of this morbidity.

methodsThe study sample was very low birth weight (VLBW) infants in the Korean Neonatal Network (KNN) cohort registry, collected prospectively from January 2013 to December 2014. Infants with blood pH and base deficit (BD) values collected within the first hour after birth, and documentation of severe IVH, were included. Multivariate stepwise logistic regression analysis was used to determine the contribution of postnatal acidosis to predicting severe IVH in VLBW infants. In addition, a prediction model was developed.

resultsData from 2518 VLBW infants were analyzed. Infants with postnatal acidosis had a higher incidence of severe IVH. The clinical model plus blood BD values improved predictive performance, compared with models using only perinatal data or blood pH.

conclusionsA prediction model for severe IVH was developed using the KNN registry of VLBW infants. Immediate postnatal acidosis, defined based on blood BD, was associated with a higher-risk-adjusted incidence of severe IVH.

Indexed as

Infant, Very Low Birth WeightAcidosisCerebral Intraventricular HemorrhageFemaleHumansIncidenceInfant, NewbornInfant, Premature, DiseasesMaleAcidosisIntraventricular hemorrhagePerinatalPredictionScore

Identifiers

PMID29916044
OpenAlexW2809422680

What OpenQuestion holds

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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.