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Examining the relationship between HbA1c and diabetes risk models in a European population indicates a lower threshold to identify ‘high risk’ is required

Benjamin J Gray, Richard Bracken Orcid Logo, Daniel Turner, Kerry Morgan, Michael Thomas, Sally P Williams, Meurig Williams, Sam Rice, Jeffrey Stephens Orcid Logo

Diabetes and Vascular Disease Research, Volume: 13, Issue: 3, Pages: 228 - 235

Swansea University Authors: Richard Bracken Orcid Logo, Jeffrey Stephens Orcid Logo

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Published in: Diabetes and Vascular Disease Research
ISSN: 1479-1641 1752-8984
Published: 2016
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa26733
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first_indexed 2016-03-11T02:00:05Z
last_indexed 2019-09-16T19:37:19Z
id cronfa26733
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spelling 2019-09-16T14:30:27.9574301 v2 26733 2016-03-10 Examining the relationship between HbA1c and diabetes risk models in a European population indicates a lower threshold to identify ‘high risk’ is required f5da81cd18adfdedb2ccb845bddc12f7 0000-0002-6986-6449 Richard Bracken Richard Bracken true false 5219d126f97f8f884bdb622099bd41de 0000-0003-2228-086X Jeffrey Stephens Jeffrey Stephens true false 2016-03-10 STSC Journal Article Diabetes and Vascular Disease Research 13 3 228 235 1479-1641 1752-8984 1 5 2016 2016-05-01 10.1177/1479164116629351 COLLEGE NANME Sport and Exercise Sciences COLLEGE CODE STSC Swansea University 2019-09-16T14:30:27.9574301 2016-03-10T14:50:40.5308062 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Benjamin J Gray 1 Richard Bracken 0000-0002-6986-6449 2 Daniel Turner 3 Kerry Morgan 4 Michael Thomas 5 Sally P Williams 6 Meurig Williams 7 Sam Rice 8 Jeffrey Stephens 0000-0003-2228-086X 9
title Examining the relationship between HbA1c and diabetes risk models in a European population indicates a lower threshold to identify ‘high risk’ is required
spellingShingle Examining the relationship between HbA1c and diabetes risk models in a European population indicates a lower threshold to identify ‘high risk’ is required
Richard Bracken
Jeffrey Stephens
title_short Examining the relationship between HbA1c and diabetes risk models in a European population indicates a lower threshold to identify ‘high risk’ is required
title_full Examining the relationship between HbA1c and diabetes risk models in a European population indicates a lower threshold to identify ‘high risk’ is required
title_fullStr Examining the relationship between HbA1c and diabetes risk models in a European population indicates a lower threshold to identify ‘high risk’ is required
title_full_unstemmed Examining the relationship between HbA1c and diabetes risk models in a European population indicates a lower threshold to identify ‘high risk’ is required
title_sort Examining the relationship between HbA1c and diabetes risk models in a European population indicates a lower threshold to identify ‘high risk’ is required
author_id_str_mv f5da81cd18adfdedb2ccb845bddc12f7
5219d126f97f8f884bdb622099bd41de
author_id_fullname_str_mv f5da81cd18adfdedb2ccb845bddc12f7_***_Richard Bracken
5219d126f97f8f884bdb622099bd41de_***_Jeffrey Stephens
author Richard Bracken
Jeffrey Stephens
author2 Benjamin J Gray
Richard Bracken
Daniel Turner
Kerry Morgan
Michael Thomas
Sally P Williams
Meurig Williams
Sam Rice
Jeffrey Stephens
format Journal article
container_title Diabetes and Vascular Disease Research
container_volume 13
container_issue 3
container_start_page 228
publishDate 2016
institution Swansea University
issn 1479-1641
1752-8984
doi_str_mv 10.1177/1479164116629351
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
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published_date 2016-05-01T03:32:10Z
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