Evidence map›Paper›PMID 27257171›Full record

ArticleJournal of diabetes science and technology2016

Australasian Diabetes Data Network: Building a Collaborative Resource.

Helen Clapin, Helen Phelan, Loren Bruns, Richard Sinnott, Peter Colman, Maria Craig, Timothy Jones, Australasian Diabetes Data Network (ADDN) Study Group

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  13. Establishment of the T1D Exchange Quality Improvement Collaborative (T1DX-QI).Clinical diabetes : a publication of the American Diabetes Association · 2020
    Article
  14. Article
  15. 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

8 authors.

Helen ClapinTelethon Kids Institute, Perth, WA, Australia Australasian Paediatric Endocrine Group, Newcastle, NSW, Australia Princess Margaret Hospital for Children, Perth, WA, Australia.
Helen PhelanAustralasian Paediatric Endocrine Group, Newcastle, NSW, Australia John Hunter Children's Hospital, Newcastle, NSW, Australia Discipline of Paediatrics and Child Health, University of Sydney, Sydney, NSW, Australia.
Loren BrunseResearch, University of Melbourne, Melbourne, VIC, Australia.
Richard SinnotteResearch, University of Melbourne, Melbourne, VIC, Australia.
Peter ColmanRoyal Melbourne Hospital, Melbourne, VIC, Australia.
Maria CraigDiscipline of Paediatrics and Child Health, University of Sydney, Sydney, NSW, Australia Children's Hospital at Westmead, Sydney, NSW, Australia.
Timothy JonesTelethon Kids Institute, Perth, WA, Australia Princess Margaret Hospital for Children, Perth, WA, Australia tim.jones@health.wa.gov.au.
Australasian Diabetes Data Network (ADDN) Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Australasia is a region with a high incidence of type 1 diabetes (T1D). There are approximately 140 000 individuals with T1D, and of these 10 000 are children. Although the region covers a huge geographical area, most children with T1D are managed by tertiary academic centers in the major capital cities. Local longitudinal data collection has been in place for several decades in most of these centers, however ongoing national data collection had not been attempted. In 2012, with funding from the Juvenile Diabetes Research Foundation (JDRF) Australian Type 1 Clinical Research Network, a national collaboration was formed to provide ongoing longitudinal collection of T1D patient characteristics and outcomes. The initial phase of this collaboration, known as the Australasian Diabetes Data Network or ADDN, was led by the Australasian Paediatric Endocrine Group (APEG) and thus included only children and adolescents. The next phase, commenced in 2016, will see adult sites added through collaboration with the Australian Diabetes Society (ADS). As most of the initial centers had longitudinal data collection in place the model employed was to establish the transfer and collation of data already collected into a central database. This required the definition of a common data dictionary, ethics and governance procedures and the employment of technology to enable efficient and accurate information transfer and accessibility. The ADDN project received widespread support from the diabetes research community with study investigators representing 20 pediatric centers across the region. The first phase focused on the 5 largest centers and at the end of 2015 these centers were uploading patient data to the ADDN database on a quarterly basis resulting in 5271 patients with 83 506 diabetes visits.

Indexed as

RegistriesAdolescentAustralasiaChildChild, PreschoolDatabases, FactualDiabetes Mellitus, Type 1FemaleHumansMaledatabaseinformationlongitudinalpediatric

Identifiers

PMID27257171
PMCPMC5032958

What OpenQuestion holds

Textmetadata
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.