Evidence map›Paper›PMID 31604463›Full record

Observational studyBMC pregnancy and childbirth2019

Prevalence of gestational diabetes according to commonly used data sources: an observational study.

Robyn L Lawrence, Clare R Wall, Frank H Bloomfield

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC pregnancy and childbirth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
8.8field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 73 citations in OpenAlex.

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  15. Incidence of complications amongJournal of medicine and life · 2023
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  18. Review
  19. Article
  20. Evolution of Gestational Diabetes Mellitus across Continents in 21st Century.International journal of environmental research and public health · 2022
    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

3 authors at 1 institution in 1 country.

Robyn L LawrenceThe Liggins Institute, University of Auckland, Building 505, Level 2, 85 Park Road, Auckland, 1023, New Zealand.
Clare R WallFaculty of Medical and Health Sciences, University of Auckland, Building 505, Level 1, 85 Park Road, Auckland, 1023, New Zealand.
Frank H BloomfieldThe Liggins Institute, University of Auckland, Building 505, Level 2, 85 Park Road, Auckland, 1023, New Zealand. f.bloomfield@auckland.ac.nz.ORCID http://orcid.org/0000-0001-6424-6577
University of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is well recognized that prevalence of gestational diabetes mellitus (GDM) varies depending on the population studied and the diagnostic criteria used. The data source used also can lead to substantial differences in the reporting of GDM prevalence but is considered less frequently. Accurate estimation of GDM prevalence is important for service planning and evaluation, policy development, and research. We aimed to determine the prevalence of GDM in a cohort of New Zealand women using a variety of data sources and to evaluate the agreement between different data sources.

methodsA retrospective analysis of prospectively collected data from the Growing Up in New Zealand Study, consisting of a cohort of 6822 pregnant women residing in a geographical area defined by three regional health boards in New Zealand. Prevalence of GDM was estimated using four commonly used data sources. Coded clinical data on diabetes status were collected from regional health boards and the Ministry of Health's National Minimum Dataset, plasma glucose results were collected from laboratories servicing the recruitment catchment area and coded according to the New Zealand Society for the Study of Diabetes diagnostic criteria, and self-reported diabetes status collected via interview administered questionnaires. Agreement between data sources was calculated using the proportion of agreement with 95% confidence intervals for both a positive and negative diagnosis of GDM.

resultsPrevalence of GDM combining data from all sources in the Growing Up in New Zealand cohort was 6.2%. Estimates varied from 3.8 to 6.9% depending on the data source. The proportion of agreement between data sources for presence of GDM was 0.70 (95% CI 0.65, 0.75). A third of women who had a diagnosis of GDM according to medical data reported having no diabetes in interview administered questionnaires.

conclusionPrevalence of GDM varies considerably depending on the data source used. Health services need to be aware of this and to understand the limitations of local data sources to ensure service planning and evaluation, policy development and research are appropriate for the local prevalence. Improved communication of the diagnosis may assist women's self-management of GDM.

Indexed as

Databases, FactualLaboratoriesSelf ReportAdultAsian PeopleBlood GlucoseCohort StudiesDiabetes, GestationalFemaleHumansInformation Storage and RetrievalNew ZealandPregnancyPrevalenceSocial ClassSurveys and QuestionnairesBlood GlucoseGestational diabetes mellitusPrevalence

Identifiers

PMID31604463
PMCPMC6788112
OpenAlexW2979825951

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.