Evidence map›Paper›PMID 29512259›Full record

ArticleInternal medicine journal2018

Prevalence of diabetes in Australia: insights from the Fremantle Diabetes Study Phase II.

Wendy A Davis, Kirsten E Peters, Ashley Makepeace, Shaye Griffiths, Christine Bundell, Struan F A Grant, Sian Ellard, Andrew T Hattersley, Stephen A Paul Chubb, David G Bruce and 1 more

Abstract read
In one paragraph

Article in Internal medicine journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
–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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  14. Precision Medicine in Type 1 Diabetes.Journal of the Indian Institute of Science · 2023
    Review
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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

11 authors.

Wendy A DavisMedical School, University of Western Australia, Perth, Western Australia, Australia.ORCID 0000-0002-5709-8235
Kirsten E PetersMedical School, University of Western Australia, Perth, Western Australia, Australia.
Ashley MakepeaceDepartment of Endocrinology and Diabetes, Fiona Stanley Hospital, Perth, Western Australia, Australia.
Shaye GriffithsDepartment of Clinical Immunology, PathWest Laboratory Medicine, QEII Medical Centre, Perth, Western Australia, Australia.
Christine BundellDepartment of Clinical Immunology, PathWest Laboratory Medicine, QEII Medical Centre, Perth, Western Australia, Australia.
Struan F A GrantDivisions of Human Genetics and Endocrinology, Children's Hospital of Philadelphia Research Institute, Philadelphia, Pennsylvania, USA.
Sian EllardMolecular Genetics Department, Peninsula Medical School, Exeter, UK.
Andrew T HattersleyMolecular Genetics Department, Peninsula Medical School, Exeter, UK.
Stephen A Paul ChubbBiochemistry Department, PathWest Laboratory Medicine, Fiona Stanley Hospital, Perth, Western Australia, Australia.
David G BruceMedical School, University of Western Australia, Perth, Western Australia, Australia.
Timothy M E DavisMedical School, University of Western Australia, Perth, Western Australia, Australia.ORCID 0000-0003-0749-7411

Funding

Genome Wide Association Study of Latent Autoimmune Diabetes in AdultsR01DK085212 · NIDDK · CHILDREN'S HOSP OF PHILADELPHIA · PI GRANT, STRUAN F A · 2011 to 2016
$3.4M
NIDDK NIH HHS R01 DK085212Wellcome Trust
6 · The paper itself

Abstract

backgroundAccurate diabetes prevalence estimates are important for health service planning and prioritisation. Available data have limitations, suggesting that the contemporary burden of diabetes in Australia is best assessed from multiple sources.

aimsTo use systematic active detection of diabetes cases in a postcode-defined urban area through the Fremantle Diabetes Study Phase II (FDS2) to complement other epidemiological and survey data in estimating the national prevalence of diabetes and its types.

methodsPeople with known diabetes in a population of 157 000 were identified (n = 4639) from a variety of sources and those providing informed consent (n = 1668 or 36%) were recruited to the FDS2 between 2008 and 2011. All FDS2 participants were assigned a type of diabetes based on clinical and laboratory (including serological and genetic) features. Data from people identified through the FDS2 were used to complement Australian Health Survey and National Diabetes Services Scheme prevalence estimates (the proportions of people well controlled on no pharmacotherapy and registering with the National Diabetes Services Scheme respectively) in combination with Australian Bureau of Statistics data to generate the prevalence of diabetes in Australia.

resultsBased on data from multiple sources, 4.8% or 1.1 million Australians had diabetes in 2011-2012, of whom 85.8% had type 2 diabetes, 7.9% type 1 diabetes and 6.3% other types (latent autoimmune diabetes of adults, monogenic diabetes and secondary diabetes).

conclusionsApproximately 1 in 20 Australians has diabetes. Although most have type 2 diabetes, one in seven has other types that may require more specialised diagnosis and/or management.

Indexed as

AdolescentAdultAgedAged, 80 and overAge DistributionAustraliaChildChild, PreschoolDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleHealth SurveysHumansInfantInfant, NewbornLatent Autoimmune Diabetes in AdultsAustraliadiabetesdiabetes typeprevalence

Identifiers

PMID29512259
PMCPMC6037554

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.