Evidence map›Paper›PMID 27121857›Full record

ArticleBMC pregnancy and childbirth2016

Comparison of birth certificates and hospital-based birth data on pregnancy complications in Los Angeles and Orange County, California.

Nekisa Haghighat, Maogui Hu, Olivier Laurent, Judith Chung, Peter Nguyen, Jun Wu

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC pregnancy and childbirth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.4field-weighted citation impact, top 9% 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

29 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
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  5. Article
  6. Current Evidence of Maternal Infection With Chlamydia trachomatis and Preeclampsia Risk.American journal of reproductive immunology (New York, N.Y. : 1989) · 2025
    Review
  7. Article
  8. Social Inequities in Cardiovascular Disease Risk Factors at Multiple Levels Persist Among Mothers in Texas.International journal of environmental research and public health · 2025
    Article
  9. Prediction of Preterm Birth among Infants with Orofacial Cleft Defects.The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association · 2025
    Article
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  16. PMAtmospheric environment (Oxford, England : 1994) · 2022
    Article
  17. Review
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  20. 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 2 institutions in 1 country.

Nekisa HaghighatProgram in Public Health, College of Health Sciences, University of California, Anteater Instruction & Research Bldg (AIRB) # 2034, 653 East Peltason Drive, Irvine, CA, 92697-3957, USA.
Maogui HuProgram in Public Health, College of Health Sciences, University of California, Anteater Instruction & Research Bldg (AIRB) # 2034, 653 East Peltason Drive, Irvine, CA, 92697-3957, USA.
Olivier LaurentProgram in Public Health, College of Health Sciences, University of California, Anteater Instruction & Research Bldg (AIRB) # 2034, 653 East Peltason Drive, Irvine, CA, 92697-3957, USA.
Judith ChungMaternal-Fetal Medicine, School of Medicine, University of California, Irvine, CA, USA.
Peter NguyenVA Long Beach Healthcare System, Long Beach, CA, USA.
Jun WuProgram in Public Health, College of Health Sciences, University of California, Anteater Instruction & Research Bldg (AIRB) # 2034, 653 East Peltason Drive, Irvine, CA, 92697-3957, USA. junwu@uci.edu.
University of California, Irvine · USVA Long Beach Healthcare System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of both gestational diabetes mellitus and preeclampsia is on the rise; however, these pregnancy complications may not be systematically reported. This study aimed to examine differences in reporting of preeclampsia and gestational diabetes between hospital records and birth certificate data, and to determine if such differences vary by maternal socioeconomic status indicators.

methodsWe obtained over 70,000 birth records from 2001 to 2006 from the perinatal research database of the Memorial Care system, a network of four hospitals in Los Angeles and Orange Counties, California. Memorial birth records were matched to corresponding state birth certificate records and analyzed to determine differential rates of reporting of preeclampsia and diabetes. Additionally, the influence of maternal socioeconomic factors on the reported incidence of such adverse pregnancy outcomes was analyzed. Socioeconomic factors of interest included maternal education levels, race, and type of health insurance (private or public).

resultsIt was found that the birth certificate data significantly underreported the incidence of both preeclampsia (1.38% vs. 3.13%) and diabetes (1.97% vs. 5.56%) when compared to Memorial data. For both outcomes of interest, the degree of underreporting was significantly higher among women with lower education levels, among Hispanic women compared to Non-Hispanic White women, and among women with public health insurance.

conclusionThe Memorial Care database is a more reliable source of information than birth certificate data for analyzing the incidence of preeclampsia and diabetes among women in Los Angeles and Orange Counties, especially for subpopulations of lower socioeconomic status.

Indexed as

Birth CertificatesAdultCaliforniaData AccuracyDiabetes, GestationalEducational StatusFemaleHispanic or LatinoHospital RecordsHumansIncidenceInfant, NewbornLos AngelesMalePre-EclampsiaPregnancyBirth certificatesDiabetesHospital birth recordsPreeclampsiaSocioeconomic status

Identifiers

PMID27121857
PMCPMC4848813
OpenAlexW2343132752

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.