Evidence map›Paper›PMID 28344196›Full record

ArticleJournal of atherosclerosis and thrombosis2017

Design of the Familial Hypercholesterolaemia Australasia Network Registry: Creating Opportunities for Greater International Collaboration.

Matthew I Bellgard, Caroline E Walker, Kathryn R Napier, Leanne Lamont, Adam A Hunter, Lee Render, Maciej Radochonski, Jing Pang, Annette Pedrotti, David R Sullivan and 10 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

11 citing papers in PubMed, 31 citations in OpenAlex.

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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

20 authors at 13 institutions in 2 countries.

Matthew I BellgardCentre for Comparative Genomics, Murdoch University, Murdoch.
Caroline E WalkerOffice of Population Health Genomics, Public Health Division, Department of Health, Government of Western Australia.
Kathryn R NapierCentre for Comparative Genomics, Murdoch University, Murdoch.
Leanne LamontOffice of Population Health Genomics, Public Health Division, Department of Health, Government of Western Australia.
Adam A HunterCentre for Comparative Genomics, Murdoch University, Murdoch.
Lee RenderCentre for Comparative Genomics, Murdoch University, Murdoch.
Maciej RadochonskiCentre for Comparative Genomics, Murdoch University, Murdoch.
Jing PangSchool of Medicine, Faculty of Health and Medical Sciences, University of Western Australia.
Annette PedrottiFamilial Hypercholesterolaemia Family Support Group of Western Australia.
David R SullivanSydney Medical School, University of Sydney.
Karam KostnerSchool of Medicine, University of Queensland.
Warrick BishopMenzies Institute for Medical Research, University of Tasmania.
Peter M GeorgeCanterbury Health Laboratories, University of Otago.
Richard C O'BrienAustin Clinical School, University of Melbourne.
Peter M CliftonSchool of Pharmacy and Medical Sciences, University of South Australia.
Frank M Van BockxmeerDepartment of Clinical Biochemistry, PathWest Laboratory Medicine WA, Royal Perth Hospital.
Stephen J NichollsSouth Australian Health and Medical Research Institute, University of Adelaide.
Ian Hamilton-CraigSchool of Medicine, Flinders University.
Hugh Js DawkinsCentre for Comparative Genomics, Murdoch University, Murdoch.
Gerald F WattsSchool of Medicine, Faculty of Health and Medical Sciences, University of Western Australia.
Murdoch University · AUGovernment of Western Australia Department of Health · AUUniversity of Western Australia · AUFlinders University · AUGovernment of Western Australia · AUMenzies School of Health Research · AURoyal Perth Hospital · AUUniversity of Adelaide · AUUniversity of Melbourne · AUUniversity of Otago · NZUniversity of Queensland · AUUniversity of South Australia · AUUniversity of Sydney · AU

Funding

Wellcome Trust
6 · The paper itself

Abstract

Familial Hypercholesterolemia (FH) is the most common and serious monogenic disorder of lipoprotein metabolism that leads to premature coronary heart disease. There are over 65,000 people estimated to have FH in Australia, but many remain undiagnosed. Patients with FH are often under-treated, but with early detection, cascade family testing and adequate treatment, patient outcomes can improve. Patient registries are key tools for providing new information on FH and enhancing care worldwide. The development and design of the FH Australasia Network Registry is a crucial component in the comprehensive model of care for FH, which aims to provide a standardized, high-quality and cost-effective system of care that is likely to have the highest impact on patient outcomes. Informed by stakeholder engagement, the FH Australasia Network Registry was collaboratively developed by government, patient and clinical networks and research groups. The open-source, web-based Rare Disease Registry Framework was the architecture chosen for this registry owing to its open-source standards, modular design, interoperability, scalability and security features; all these are key components required to meet the ever changing clinical demands across regions. This paper provides a high level blueprint for other countries and jurisdictions to help inform and map out the critical features of an FH registry to meet their particular health system needs.

Indexed as

RegistriesAustralasiaCardiologyCost-Benefit AnalysisHumansHyperlipoproteinemia Type IIInternational CooperationMiddle AgedProgram DevelopmentReproducibility of ResultsDisease registryFamilial hypercholesterolaemiaInteroperableModel of careRegistry framework

Identifiers

PMID28344196
PMCPMC5656770
OpenAlexW2603795718

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.