Evidence map›Paper›PMID 25025058›Full record

ArticleBioMed research international2014

Very low birth weight and perinatal periods of risk: disparities in St. Louis.

Pamela Xaverius, Joanne Salas, Deborah Kiel, Candice Woolfolk

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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.

Pamela XaveriusSaint Louis University, College for Public Health & Social Justice, 3545 Lafayette Avenue, Saint Louis, MO 63104, USA.
Joanne SalasSaint Louis University, College for Public Health & Social Justice, 3545 Lafayette Avenue, Saint Louis, MO 63104, USA.
Deborah KielLindenwood University, 209 S Kingshighway Street, St. Charles, MO 63301, USA.
Candice WoolfolkSaint Louis University, College for Public Health & Social Justice, 3545 Lafayette Avenue, Saint Louis, MO 63104, USA.
Saint Louis University · USLindenwood University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveVery low birth weight (VLBW) is a significant issue in St. Louis, Missouri. Our study evaluated risk factors associated with VLBW in this predominantly urban community.

methodsFrom 2000 to 2009, birth and fetal death certificates were evaluated (n = 160, 189), and mortality rates were calculated for perinatal periods of risk. The Kitagawa method was used to explore fetoinfant mortality rates (FIMR) in terms of birth weight distribution and birthweight specific mortality. Multivariable logistic regression was used to assess the magnitude of association of selected risk factors with VLBW.

resultsVLBW contributes to 50% of the excess FIMR in St. Louis City and County. The highest proportion of VLBW can be attributed to black maternal race (40.6%) in St. Louis City, inadequate prenatal care (19.8%), and gestational hypertension (12.0%) among black women. Medicaid was found to have a protective effect for VLBW among black women (population attributable risk (PAR) = -14.5). DISCUSSION: Interventions targeting the health of women before and during conception may be most successful at reducing the disparities in VLBW in this population. Interventions geared towards smoking cessation and improvements in Medicaid and prenatal care access for black mothers and St. Louis City residents can greatly reduce VLBW rates.

Indexed as

Fetal DeathInfant, Very Low Birth WeightAdultChildEthnicityFemaleHumansHypertension, Pregnancy-InducedInfant, NewbornMissouriPerinatal CarePregnancyRisk FactorsSocioeconomic Factors

Identifiers

PMID25025058
PMCPMC4082833
OpenAlexW2073965025

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LicenceCC BY
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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.