Evidence map›Paper›PMID 25522306›Full record

ArticleMaternal & child nutrition2016

Validity of birth certificate-derived maternal weight data in twin pregnancies.

Lisa M Bodnar, Barbara Abrams, Lara Siminerio, Timothy L Lash

Open access · bronzeAbstract read
In one paragraph

Article in Maternal & child nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 38% 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, 5 citations in OpenAlex.

  1. Breastfeeding Initiation as Related to the Interaction of Race/Ethnicity and Maternal Diabetes.Breastfeeding medicine : the official journal of the Academy of Breastfeeding Medicine · 2019
    Article
  2. Article
  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

4 authors at 3 institutions in 1 country.

Lisa M BodnarDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Barbara AbramsDivision of Epidemiology, School of Public Health, University of California at Berkeley, Berkeley, California, USA.
Lara SiminerioDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Timothy L LashDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
University of Pittsburgh · USEmory University · USUniversity of California, Berkeley · US

Funding

Informing Evidence-based Maternal Weight Gain Guidelines for Twin PregnanciesR01NR014245 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BODNAR, LISA M, HUTCHEON, JENNIFER ANNE · 2013 to 2016
$1.9M
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 R21 HD065807NINR NIH HHS R01 NR014245
6 · The paper itself

Abstract

Birth certificates are an important source of pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) data for surveillance and aetiologic studies, but little is known about their validity in twin pregnancies. Twins experience high rates of adverse perinatal outcomes that have been associated with BMI and GWG in singletons. Our objective was to evaluate the accuracy of birth certificate-derived pre-pregnancy BMI and GWG compared with medical record-derived data in a sample of 186 twin pregnancies at a teaching hospital in Pennsylvania (2003-2010). Twelve strata were created by simultaneous stratification on pre-pregnancy BMI (underweight, normal weight/overweight, obese class 1, obese classes 2 and 3) and GWG (<20th, 20-80th, >80th percentile). The agreement of birth certificate-derived pre-pregnancy BMI category with medical record BMI category was lowest among underweight mothers [75% (95% confidence interval 51-91%) ] and highest among normal/overweight [97% (90-99%) ] and obese classes 2 and 3 mothers [97% (85-99%) ]. Agreement for GWG category from the birth certificate varied from 57% (41-70%) for GWG >80th percentile to 80% (65-91%) and 82% (72-89%) for GWG <20th and 20th-80th percentiles, respectively. The misclassification of BMI and GWG was primarily due to error in pre-pregnancy weight rather than weight at delivery or height. Agreement proportions for twins were not meaningfully different from the proportions in a comparable sample of singleton pregnancies. These data suggest that birth certificate-based BMI and GWG data are prone to error in twin pregnancies. Those who use these data should conduct internal validation studies and adjust their results using bias analyses.

Indexed as

Birth CertificatesBody WeightPregnancy, TwinBody Mass IndexEthnicityFemaleGestational AgeHumansMedical RecordsPennsylvaniaPregnancyReproducibility of Resultsbirth certificateobesitypregnancytwinsvalidation studyweight

Identifiers

PMID25522306
PMCPMC4470895
OpenAlexW1581841863

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.