Evidence map›Paper›PMID 38946954›Full record

ArticleResearch square2024

Changes in the Treatment and Outcomes of Different Severities of Neonatal Hypoxic Ischemic Encephalopathy in California: A Retrospective Cohort Study.

Carolyn Fall, Rebecca Baer, Henry Lee, Christina Chambers, Gretchen Bandoli

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Carolyn FallUniversity of California, San Diego.ORCID 0009-0006-4146-3353
Rebecca BaerUniversity of California San Francisco.ORCID 0000-0001-8485-1977
Henry LeeUniversity of California San Diego.ORCID 0000-0001-8383-1720
Christina ChambersUniversity of California San Diego.
Gretchen BandoliUC San Diego Health.

Funding

Applying Machine Learning in the Prediction and Identification of Children Affected by Prenatal Alcohol ExposureK01AA027811 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BANDOLI, GRETCHEN E. · 2019 to 2023
$865k
NIAAA NIH HHS K01 AA027811
6 · The paper itself

Abstract

Objective: Evaluate the changes in management and outcomes of Californian infants with hypoxic ischemic encephalopathy (HIE). Study Design: Infants with HIE were identified from a California administrative birth cohort using ICD codes and divided into two epochs, Epoch 1 (2010-2015) and Epoch 2 (2016-2019). Risk ratios (RR) for therapeutic hypothermia (TH) in each epoch and their outcomes were calculated using log-linear regression. Results: In this cohort, 4779 infants with HIE were identified. Incidence of HIE in California increased yearly from 0.5/1,000 California births to a peak of 1.5/1,000 births in 2018. The use of TH in infants with mild HIE increased in Epoch 2 compared to Epoch 1. There was no significant difference in outcomes between epochs for infants with mild HIE that received TH. Conclusion: Significantly more infants with mild HIE received TH since 2015 in California, but no difference in outcomes was found for these patients.

Indexed as

Hypoxic Ischemic EncephalopathyTherapeutic Hypothermia

Identifiers

PMID38946954
PMCPMC11213227

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.