Evidence map›Paper›PMID 27682365›Full record

ArticleEpidemiology (Cambridge, Mass.)2016

Low Gestational Weight Gain and Risk of Adverse Perinatal Outcomes in Obese and Severely Obese Women.

Lisa M Bodnar, Sarah J Pugh, Timothy L Lash, Jennifer A Hutcheon, Katherine P Himes, Sara M Parisi, Barbara Abrams

Open access · greenAbstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.0field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The importance of nutrition in pregnancy and lactation: lifelong consequences.American journal of obstetrics and gynecology · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Observational
  18. Observational
  19. Review
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

7 authors at 1 institution in 1 country.

Lisa M BodnarFrom the aDepartment of Epidemiology, Graduate School of Public Health, bDepartment of Obstetrics, Gynecology, and Reproductive Sciences, School of Medicine, University of Pittsburgh, Pittsburgh, PA; cMagee-Womens Research Institute, Pittsburgh, PA; dDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA; eDepartment of Obstetrics and Gynaecology, University of British Columbia, Vancouver, British Columbia, Canada; and fDivision of Epidemiology, University of California at Berkeley School of Public Health, Berkeley, CA.
Sarah J Pugh
Timothy L Lash
Jennifer A Hutcheon
Katherine P Himes
Sara M Parisi
Barbara Abrams
University of Pittsburgh · US

Funding

Innovative Approaches to Inform Evidence-Based Pregnancy Weight Gain GuidelinesR01HD072008 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BODNAR, LISA M, HUTCHEON, JENNIFER ANNE · 2013 to 2016
$2.4M
Maternal obesity, weight gain, and the black-white disparity in pregnancy outcomeR21HD065807 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BODNAR, LISA M · 2011 to 2012
$443k
NICHD NIH HHS R01 HD072008NICHD NIH HHS R21 HD065807
6 · The paper itself

Abstract

backgroundOur objective was to estimate associations between gestational weight gain z scores and preterm birth, neonatal intensive care unit admission, large- and small-for-gestational age birth, and cesarean delivery among grades 1, 2, and 3 obese women.

methodsWe included singleton infants born in Pennsylvania (2003-2011) to grade 1 (body mass index 30-34.9 kg/m, n = 148,335), grade 2 (35-39.9 kg/m, n = 72,032), or grade 3 (≥40 kg/m, n = 47,494) obese mothers. Total pregnancy weight gain (kg) was converted to gestational age-standardized z scores. Multivariable Poisson regression models stratified by obesity grade were used to estimate associations between z scores and outcomes. A probabilistic bias analysis, informed by an internal validation study, evaluated the impact of body mass index and weight gain misclassification.

resultsRisks of adverse outcomes did not substantially vary within the range of z scores equivalent to 40-week weight gains of -4.3 to 9 kg for grade 1 obese, -8.2 to 5.6 kg for grade 2 obese, and -12 to -2.3 kg for grade 3 obese women. As gestational weight gain increased beyond these z score ranges, there were slight declines in risk of small-for-gestational age birth but rapid rises in cesarean delivery and large-for-gestational age birth. Risks of preterm birth and neonatal intensive care unit admission were weakly associated with weight gain. The bias analysis supported the validity of the conventional analysis.

conclusionsGestational weight gain below national recommendations for obese mothers (5-9 kg) may not be adversely associated with fetal growth, gestational age at delivery, or mode of delivery.

Identifiers

PMID27682365
PMCPMC5117438
OpenAlexW2466234735

What OpenQuestion holds

Textmetadata
LicenceTDM
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.