Evidence map›Paper›PMID 25105127›Full record

ArticleBioMed research international2014

Predictors of size for gestational age in St. Louis City and County.

Pamela K Xaverius, Joanne Salas, Candice L Woolfolk, Frances Leung, Jessica Yuan, Jen Jen Chang

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 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Observational
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

6 authors at 1 institution in 1 country.

Pamela K XaveriusSaint Louis University College for Public Health & Social Justice, 3545 Lafayette Avenue, St. Louis, MO 63104, USA.ORCID 0000-0001-8824-2933
Joanne SalasSaint Louis University College for Public Health & Social Justice, 3545 Lafayette Avenue, St. Louis, MO 63104, USA.ORCID 0000-0002-5604-7954
Candice L WoolfolkSaint Louis University College for Public Health & Social Justice, 3545 Lafayette Avenue, St. Louis, MO 63104, USA.ORCID 0000-0003-4810-8363
Frances LeungSaint Louis University College for Public Health & Social Justice, 3545 Lafayette Avenue, St. Louis, MO 63104, USA.ORCID 0000-0001-7504-9317
Jessica YuanSaint Louis University College for Public Health & Social Justice, 3545 Lafayette Avenue, St. Louis, MO 63104, USA.ORCID 0000-0002-8989-1107
Jen Jen ChangSaint Louis University College for Public Health & Social Justice, 3545 Lafayette Avenue, St. Louis, MO 63104, USA.ORCID 0000-0002-4234-3322
Saint Louis University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify social, behavioral, and physiological risk factors associated with small for gestational age (SGA) by gestational age category in St. Louis City and County.

methodsA retrospective cohort study was conducted using birth certificate and fetal death records from 2000 to 2009 (n = 142,017). Adjusted associations of risk factors with SGA were explored using bivariate logistic regression. Four separate multivariable logistic regression analyses, stratified by gestational age, were conducted to estimate adjusted odds ratios.

resultsPreeclampsia and inadequate weight gain contributed significantly to increased odds for SGA across all gestational age categories. The point estimates ranged from a 3.41 increased odds among women with preeclampsia and 1.76 for women with inadequate weight gain at 24-28 weeks' gestational age to 2.19 and 2.11 for full-term infants, respectively. Among full-term infants, smoking (aOR = 2.08), chronic hypertension (aOR = 1.46), and inadequate prenatal care (aOR = 1.25) had the next most robust and significant impact on SGA.

conclusionPreeclampsia and inadequate weight gain are significant risk factors for SGA, regardless of gestational age. Education on the importance of nutrition and adequate weight gain during pregnancy is vital. In this community, disparities in SGA and smoking rates are important considerations for interventions designed to improve birth outcomes.

Indexed as

Gestational AgeInfant, Small for Gestational AgePrenatal Nutritional Physiological PhenomenaWeight GainFemaleHumansInfant, NewbornMinnesotaPre-EclampsiaPregnancyRisk Factors

Identifiers

PMID25105127
PMCPMC4109607
OpenAlexW2061441736

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.