Evidence map›Paper›PMID 32285803›Full record

ArticleJMIR research protocols2020

EXamining ouTcomEs in chroNic Disease in the 45 and Up Study (the EXTEND45 Study): Protocol for an Australian Linked Cohort Study.

Celine Foote, Carinna Hockham, Louisa Sukkar, Anna Campain, Amy Kang, Tamara Young, Alan Cass, Clara K Chow, Elizabeth Comino, Martin Gallagher and 12 more

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Cohort Profile Update: The 45 and Up Study.International journal of epidemiology · 2023
    Article
  4. Article
  5. Article
  6. 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

22 authors at 7 institutions in 1 country.

Celine FooteThe George Institute for Global Health, Sydney, Australia.ORCID https://orcid.org/0000-0003-0203-3861
Carinna HockhamThe George Institute for Global Health, Sydney, Australia.ORCID https://orcid.org/0000-0003-2126-5350
Louisa SukkarThe George Institute for Global Health, Sydney, Australia.ORCID https://orcid.org/0000-0001-7409-2938
Anna CampainThe George Institute for Global Health, Sydney, Australia.ORCID https://orcid.org/0000-0003-1057-0085
Amy KangThe George Institute for Global Health, Sydney, Australia.ORCID https://orcid.org/0000-0002-0300-1282
Tamara YoungThe George Institute for Global Health, Sydney, Australia.ORCID https://orcid.org/0000-0003-2727-8347
Alan CassMenzies School of Health Research, Charles Darwin University, Darwin, Australia.ORCID https://orcid.org/0000-0002-3923-3173
Clara K ChowThe George Institute for Global Health, Sydney, Australia.ORCID https://orcid.org/0000-0003-4693-0038
Elizabeth CominoCentre for Primary Health Care and Equity, University of New South Wales, Sydney, Australia.ORCID https://orcid.org/0000-0002-9459-6073
Martin GallagherThe George Institute for Global Health, Sydney, Australia.ORCID https://orcid.org/0000-0001-9187-6187
Stephen JanThe George Institute for Global Health, Sydney, Australia.ORCID https://orcid.org/0000-0003-2839-1405
John KnightThe George Institute for Global Health, Sydney, Australia.ORCID https://orcid.org/0000-0001-7298-5150
Bette LiuSchool of Public Health and Community Medicine, University of New South Wales, Sydney, Australia.ORCID https://orcid.org/0000-0002-0787-5825
Martin McNamaraThe Sax Institute, Sydney, Australia.ORCID https://orcid.org/0000-0002-4849-3313
David PeirisThe George Institute for Global Health, Sydney, Australia.ORCID https://orcid.org/0000-0002-6898-3870
Carol PollockRenal Division, Kolling Institute for Medical Research, Sydney, Australia.ORCID https://orcid.org/0000-0001-7167-6495
David SullivanSydney Medical School, University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0003-3085-5627
Germaine WongSchool of Public Health, University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0001-8422-7269
Sophia ZoungasThe George Institute for Global Health, Sydney, Australia.ORCID https://orcid.org/0000-0003-2672-0949
Kris RogersThe George Institute for Global Health, Sydney, Australia.ORCID https://orcid.org/0000-0001-5497-4298
Min JunThe George Institute for Global Health, Sydney, Australia.ORCID https://orcid.org/0000-0003-1460-7535
Meg JardineThe George Institute for Global Health, Sydney, Australia.ORCID https://orcid.org/0000-0002-0160-2375
UNSW Sydney · AUThe University of Sydney · AUConcord Repatriation General Hospital · AUCharles Darwin University · AUSax Institute · AUThe George Institute for Global Health · AUUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) and diabetes are the major causes of death and disability worldwide. They are associated with high health service utilization persisting over many years. Their slow progression and wide clinical variation make them eminently suitable for study in population-based cohorts. However, current understanding of their prevalence, incidence, and progression is largely based on studies conducted in clinical populations.

objectiveThis study aims to establish a novel link between an existing population-based cohort (the 45 and Up Study) and routinely collected laboratory and administrative data to facilitate research across the full disease spectrum of CKD and diabetes.

methodsIn the EXTEND45 Study (EXamining OuTcomEs in chroNic Disease in the 45 and Up Study), baseline questionnaire responses of over 260,000 participants of the 45 and Up Study aged ≥45 years living in New South Wales (NSW), collected between January 2006 and December 2009, are linked to data from laboratory service providers as well as national- and state-based administrative datasets via probabilistic linkage. Routinely collected data were obtained for participants who could be linked between January 2005 and July 2013. Laboratory data will enable the identification of early cases of chronic disease and the assessment of clinically relevant biochemical targets during the disease course. Health administrative datasets will allow for the examination of health service use, pharmacological management, and clinical outcomes.

resultsThe study received ethics approval from the NSW Population and Health Services Research Ethics Committee in February 2014. Data linkage for 267,153 of the 45 and Up Study participants was completed in June 2016, with congruent linkage achieved for 265,086 (99.23%) individuals. To date, the CKD and diabetes cohorts have been identified (published elsewhere), and a diverse portfolio of research projects relating to disease burden, risk factors, health outcomes, and health service utilization is in development.

conclusionsThe EXTEND45 Study represents an unparalleled opportunity to perform extensive research into diseases of considerable public health and clinical importance. Strengths include the population-based nature of the cohort and the availability of longitudinal information on the complete disease pathway for affected individuals. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/15646.

Indexed as

biomarkerscardiovascular diseasechronic kidney diseasedata linkagediabetes mellitus

Identifiers

PMID32285803
PMCPMC7189250
OpenAlexW3000598319

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.