Evidence map›Paper›PMID 29176103›Full record

ArticleJournal of health care for the poor and underserved2017

Neonatal Abstinence Syndrome in East Tennessee: Characteristics and Risk Factors among Mothers and Infants in One Area of Appalachia.

Paul C Erwin, Laurie L Meschke, Samantha F Ehrlich, Lisa C Lindley

Open access · bronzeAbstract read
In one paragraph

Article in Journal of health care for the poor and underserved, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  8. Treating infants with neonatal abstinence syndrome: an examination of three protocols.Journal of perinatology : official journal of the California Perinatal Association · 2019
    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

4 authors at 2 institutions in 1 country.

Paul C Erwin
Laurie L Meschke
Samantha F Ehrlich
Lisa C Lindley
Knoxville College · USUniversity of Tennessee at Knoxville · US

Funding

Physical Activity in Pregnancy for Intergenerational Obesity PreventionK01DK105106 · NIDDK · UNIVERSITY OF TENNESSEE KNOXVILLE · PI EHRLICH, SAMANTHA F · 2015 to 2021
$782k
NIDDK NIH HHS K01 DK105106
6 · The paper itself

Abstract

objectiveTo describe the epidemiology of neonatal abstinence syndrome (NAS) in a 16-county Appalachian area of eastern Tennessee.

methodsThe Tennessee Surveillance System for NAS provided data on maternal sources of opioids. Data linking hospital discharge diagnosis for NAS to birth certificate data allowed us to compare maternal, delivery, and infant characteristics for NAS births with those for non-NAS births.

resultsThere were 339 cases of NAS in 2013 and 367 in 2014, for NAS rates of 25.5 and 28.5 per 1,000 live births, respectively. When compared with the state overall, mothers of NAS infants in eastern Tennessee were more likely to use opioids that had been prescribed to another person. There were numerous maternal, infant, and delivery characteristics that were significantly different for NAS births compared with non-NAS births.

conclusionNeonatal abstinence syndrome is epidemic in the eastern Tennessee area of Appalachia, with unique maternal and infant characteristics that have important implications for primary, secondary, and tertiary prevention.

Indexed as

EpidemicsPopulation SurveillanceAdultFemaleHumansInfant, NewbornMothersNeonatal Abstinence SyndromeOpioid-Related DisordersPregnancyRisk FactorsTennesseeYoung Adult

Identifiers

PMID29176103
PMCPMC5706557
OpenAlexW2769468877

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.