Evidence map›Paper›PMID 37950045›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2023

Assessing for prenatal risk factors associated with infant neurologic morbidity using a multivariate analysis.

Samhita Jain, Scott Oltman, Elizabeth Rogers, Kelli Ryckman, Mark Petersen, Rebecca J Baer, Larry Rand, Xianhua Piao, Laura Jelliffe-Pawlowski

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of perinatology : official journal of the California Perinatal Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

9 authors at 2 institutions in 1 country.

Samhita JainDivision of Neonatology, Department of Pediatrics, University of California, San Francisco, CA, USA. Samhita.Jain@ucsf.edu.ORCID 0000-0002-8777-1865
Scott OltmanCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.
Elizabeth RogersDivision of Neonatology, Department of Pediatrics, University of California, San Francisco, CA, USA.
Kelli RyckmanDepartment of Epidemiology and Biostatistics, Indiana University Bloomington, Bloomington, IN, USA.ORCID 0000-0002-9496-4147
Mark PetersenDivision of Neonatology, Department of Pediatrics, University of California, San Francisco, CA, USA.ORCID 0000-0003-1366-1353
Rebecca J BaerCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0001-8485-1977
Larry RandCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.
Xianhua PiaoDivision of Neonatology, Department of Pediatrics, University of California, San Francisco, CA, USA.
Laura Jelliffe-PawlowskiCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.
University of California, San Francisco · USIndiana University Bloomington · US

Funding

Glial Mechanisms Of Developmental Synapse RefinementR01NS108446 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PIAO, XIANHUA · 2018 to 2022
$2.9M
NINDS NIH HHS R01 NS108446
6 · The paper itself

Abstract

objectiveTo characterize the biochemical and demographic profiles of pregnant people with maternal immune activation (MIA) and identify the prenatal characteristics associated with neurologic morbidity in offspring. STUDY

designThis was a retrospective cohort study of 602 mother-infant dyads with births between 2009 and 2010 in California. Multivariable logistic regression was used to build a MIA vulnerability profile including mid-pregnancy biochemical markers and maternal demographic characteristics, and its relationship with infant neurologic morbidity was examined.

resultsOf the 602 mother-infant dyads, 80 mothers and 61 infants had diagnoses suggestive of MIA and neurologic morbidity, respectively. Our model, including two demographic and seven biochemical characteristics, identified mothers with MIA with good performance (AUC:0.814; 95% CI:0.7-0.8). Three demographic and five inflammatory markers together identified 80% of infants with neurological morbidity (AUC:0.802, 95% CI:0.7-0.8).

conclusionInflammatory environment in mothers with pre-existing risk factors like obesity, poverty, and prematurity renders offspring more susceptible to neurologic morbidities.

Indexed as

ObesityFemaleHumansInfantMorbidityMultivariate AnalysisPregnancyRetrospective StudiesRisk Factors

Identifiers

PMID37950045
PMCPMC10716040
OpenAlexW4388567696

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.