Evidence map›Paper›PMID 29602844›Full record

ArticleBMJ open2018

Impact of gestational weight gain and prepregnancy body mass index on the prevalence of large-for-gestational age infants in two cohorts of women with type 1 insulin-dependent diabetes: a cross-sectional population study.

Ketrell L McWhorter, Katherine Bowers, Lawrence M Dolan, Ranjan Deka, Chandra L Jackson, Jane C Khoury

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. 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

6 authors at 3 institutions in 1 country.

Ketrell L McWhorterDepartment of Environmental Health, College of Medicine, University of Cincinnati, Cincinnati, Ohio, USA.ORCID 0000-0002-5546-334X
Katherine BowersDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Lawrence M DolanDivision of Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Ranjan DekaDepartment of Environmental Health, College of Medicine, University of Cincinnati, Cincinnati, Ohio, USA.
Chandra L JacksonEpidemiology Branch, Department of Health and Human Services, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA.
Jane C KhouryDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Cincinnati Children's Hospital Medical Center · USNational Institutes of Health · USUniversity of Cincinnati Medical Center · US

Funding

Social and Environmental Determinants of Health EquityZIAES103325 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI JACKSON, CHANDRA · 2017 to 2025
$12.7M
Molecular Epidemiology in Children's Environmental Health Training Program (MECEH)T32ES010957 · NIEHS · UNIVERSITY OF CINCINNATI · PI Kelly J Brunst · 2001 to 2026
$11.1M
Genomic and Proteomic Biomarkers of Biological Responses to ExposureU01ES016003 · NIEHS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LAMARTINIERE, CORAL · 2007 to 2010
$2.0M
NICHD NIH HHS HHSN267200603425CNIEHS NIH HHS T32 ES010957NIEHS NIH HHS U01 ES016003NIEHS NIH HHS ZIA ES103325
6 · The paper itself

Abstract

objectivesDespite improvements in treatment modalities, large-for-gestational age (LGA) prevalence has remained between 30% and 40% among infants of mothers with type 1 insulin-dependent diabetes mellitus (TIDM). Our objective was to estimate LGA prevalence and examine the association between gestational weight gain (GWG) and prepregnancy body mass index (BMI) with LGA among mothers with TIDM.

designCross-sectional study.

settingRegional data in Cincinnati, Ohio, from the Diabetes in Pregnancy Program Project (PPG), a prospective cohort for the period 1978-1993; national data from Consortium on Safe Labor (CSL), a multicentre cross-sectional study for the period 2002-2008.

participantsThe study included 333 pregnancies in the PPG and 358 pregnancies in the CSL. Pregnancies delivered prior to 23 weeks' gestation were excluded. Women with TIDM in the PPG were identified according to physician confirmation of ketoacidosis, and/or c-peptide levels, and by International Classification of Diseases, ninth version codes within the CSL. LGA was identified as birth weight >90th percentile according to gestational age, race and sex.

main outcome measuresLGA at birth.

resultsMean±SD maternal age at delivery was 26.4±5.1 years for PPG women and 27.5±6.0 years for CSL women, p=0.008. LGA prevalence did not significantly differ between cohorts (PPG: 40.2% vs CSL: 36.6%, p=0.32). More women began pregnancy as overweight in the later cohort (PPG (16.8%) vs CSL (27.1%), p<0.001). GWG exceeding Institute of Medicine (IOM) guidelines was higher in the later CSL (56.2%) vs PPG (42.3%) cohort, p<0.001. Normal-weight women with GWG within IOM guidelines had a lower LGA prevalence in CSL (PPG: 30.6% vs CSL: 13.7%), p=0.001.

conclusionsNormal-weight women with GWG within IOM guidelines experienced a lower LGA prevalence, supporting the importance of adherence to IOM guidelines for GWG to reduce LGA. High BMI and GWG may be hindering a reduction in LGA prevalence.

Indexed as

Birth WeightBody Mass IndexWeight GainCesarean SectionCross-Sectional StudiesFemaleGestational AgeHumansInfant, NewbornInsulinsMalePregnancyPrevalenceProspective StudiesInsulinsdiabetes in pregnancymaternal medicineperinatology

Identifiers

PMID29602844
PMCPMC5884363
OpenAlexW2794982822

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.