Evidence map›Paper›PMID 27549105›Full record

ArticleMaternal and child health journal2017

Examining the Prevalence Rates of Preexisting Maternal Medical Conditions and Pregnancy Complications by Source: Evidence to Inform Maternal and Child Research.

Candace A Robledo, Edwina H Yeung, Pauline Mendola, Rajeshwari Sundaram, Nansi S Boghossian, Erin M Bell, Charlotte Druschel

Abstract read
In one paragraph

Article in Maternal and child health journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Socioeconomic Risk Factors for Extreme Preterm Birth in Hawai'i.Hawai'i journal of health & social welfare · 2025
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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

7 authors.

Candace A RobledoEpidemiology Branch, Division of Intramural Population Health Research (DIPHR), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), 6710B Rockledge Drive, Room 3122, Bethesda, MD, 20892, USA.
Edwina H YeungEpidemiology Branch, Division of Intramural Population Health Research (DIPHR), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), 6710B Rockledge Drive, Room 3122, Bethesda, MD, 20892, USA. yeungedw@mail.nih.gov.
Pauline MendolaEpidemiology Branch, Division of Intramural Population Health Research (DIPHR), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), 6710B Rockledge Drive, Room 3122, Bethesda, MD, 20892, USA.
Rajeshwari SundaramBioinformatics Branch, DIPHR, NICHD, NIH, Rockville, MD, USA.
Nansi S BoghossianEpidemiology Branch, Division of Intramural Population Health Research (DIPHR), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), 6710B Rockledge Drive, Room 3122, Bethesda, MD, 20892, USA.
Erin M BellDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Albany, NY, USA.
Charlotte DruschelDepartment of Epidemiology and Biostatistics, School of Public Health, University at Albany, State University of New York, Albany, NY, USA.

Funding

Infertility Treatment, Child Growth and Development Through Age Three YearsZIAHD008826 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI YEUNG, EDWINA · 2009 to 2025
$9.4M
Statistical Modeling of Human FecundityZIAHD008883 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI SUNDARAM, RAJESHWARI · 2009 to 2025
$3.6M
NICHD NIH HHS HHSN267200700019CNICHD NIH HHS HHSN275201200005C
6 · The paper itself

Abstract

Objectives We sought to examine whether there are systematic differences in ascertainment of preexisting maternal medical conditions and pregnancy complications from three common data sources used in epidemiologic research. Methods Diabetes mellitus, chronic hypertension, gestational diabetes mellitus (GDM), gestational hypertensive disorders (GHD), placental abruption and premature rupture of membranes (PROM) among 4821 pregnancies were identified via birth certificates, maternal self-report at approximately 4 months postpartum and by discharge codes from the Statewide Planning and Research Cooperative System (SPARCS), a mandatory New York State hospital reporting system. The kappa statistic (k) was estimated to ascertain beyond chance agreement of outcomes between birth certificates with either maternal self-report or SPARCS. Results GHD was under-ascertained on birth certificates (5.7 %) and more frequently indicated by maternal report (11 %) and discharge data (8.2 %). PROM was indicated more on birth certificates (7.4 %) than maternal report (4.5 %) or discharge data (5.7 %). Confirmation across data sources for some outcomes varied by maternal age, race/ethnicity, prenatal care utilization, preterm delivery, parity, mode of delivery, infant sex, use of infertility treatment and for multiple births. Agreement between maternal report and discharge data with birth certificates was generally poor (kappa < 0.4) to moderate (0.4 ≤ kappa < 0.75) but was excellent between discharge data and birth certificates for GDM among women who underwent infertility treatment (kappa = 0.79, 95 % CI 0.74, 0.85). Conclusions for Practice Prevalence and agreement of conditions varied across sources. Condition-specific variations in reporting should be considered when designing studies that investigate associations between preexisting maternal medical and pregnancy-related conditions with health outcomes over the life-course.

Indexed as

AdultBirth CertificatesComorbidityDiabetes, GestationalFemaleHumansInfant, NewbornMaleNew YorkPatient DischargePreexisting Condition CoveragePregnancyPregnancy ComplicationsPremature BirthPrevalenceAgreementBirth certificatesHospital discharge datasetsInfertility treatmentMaternal reportPositive predictive valuePregnancy complications

Identifiers

PMID27549105
PMCPMC5322241

What OpenQuestion holds

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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.