Evidence map›Paper›PMID 38073399›Full record

ArticleJournal of neonatal-perinatal medicine2023

The influence of late prematurity on the encephalopathy exam of infants with neonatal encephalopathy.

A Kodidhi, M Riley, Z Vesoulis

Open access · greenAbstract read
In one paragraph

Article in Journal of neonatal-perinatal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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 2 institutions in 1 country.

A KodidhiDepartment of Pediatrics, St. Louis Children's Hospital, St. Louis, MO, USA.
M RileyDivision of Newborn Medicine, Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA.
Z VesoulisDivision of Newborn Medicine, Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA.
Washington University in St. Louis · USSt. Louis Children's Hospital · US

Funding

Racial Disparities in Preterm Brain Injury Are Driven by Differences in Cerebral AutoregulationK23NS111086 · NINDS · WASHINGTON UNIVERSITY · PI VESOULIS, ZACHARY ANDREW · 2019 to 2022
$736k
NINDS NIH HHS K23 NS111086
6 · The paper itself

Abstract

backgroundLate preterm (LPT) infants are increasingly treated for hypoxic-ischemic encephalopathy (HIE). However, neurodevelopmental differences of LPT infants may independently influence the neurologic exam and confound care.

methodsPerinatal and outcome characteristics were extracted along with the worst autonomic and state/neuromuscular/reflex Sarnat components in a cross-section of infants with moderate/severe HIE. Infants were classified as late preterm (LPT, 34-36 weeks) or term (>36 weeks).

results250 infants were identified, 55 were late preterm. LPT infants had lower mean gestational age and birthweight and greater length of stay (LOS). LPT infants had higher median scores for the Moro and respiratory autonomic components, but no difference in total score.

conclusionsLPT infants had increased LOS, worse Moro reflex, and respiratory status, but no clinically or statistically significant differences in total Sarnat scores. Although it is important to note the impact of immaturity on the exam, it is unlikely to independently alter management.

Indexed as

Hypothermia, InducedHypoxia-Ischemia, BrainInfant, Newborn, DiseasesBirth WeightGestational AgeHumansInfantInfant, NewbornInfant, PrematureHypoxic ischemic encephalopathylate preterm infantneonatesneurologic examtherapeutic hypothermia.

Identifiers

PMID38073399
PMCPMC10753960
OpenAlexW4389475232

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.