Evidence map›Paper›PMID 26541180›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2015

Different type 2 diabetes risk assessments predict dissimilar numbers at 'high risk': a retrospective analysis of diabetes risk-assessment tools.

Benjamin J Gray, Richard M Bracken, Daniel Turner, Kerry Morgan, Michael Thomas, Sally P Williams, Meurig Williams, Sam Rice, Jeffrey W Stephens, Prosiect Sir Gâr Group

Abstract readValidation Study
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Using a Diabetes Risk Score to Identify Patients Without Diabetes at Risk for New Hyperglycemia in the Hospital.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2021
    Article
  6. Risk Prediction of the Diabetes Missing Million: Identifying Individuals at High Risk of Diabetes and Related Complications.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2021
    Review
  7. 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

10 authors.

Benjamin J GrayPolicy, Research and International Development, Public Health Wales, Cardiff, UK.
Richard M BrackenDiabetes Research Group, College of Medicine; Applied Sports Technology Exercise and Medicine (A-STEM) Research Centre, College of Engineering, Swansea University, Swansea, UK.
Daniel TurnerRedBull North America, Santa Monica, CA, US.
Kerry MorganHywel Dda Health Board, Prince Philip Hospital, Llanelli, UK.
Michael ThomasPublic Health Wales, Carmarthen, UK.
Sally P WilliamsTata Steel Packaging Recycling, Trostre, Llanelli, UK.
Meurig WilliamsHywel Dda Health Board, Prince Philip Hospital, Llanelli, UK.
Sam RiceHywel Dda Health Board, Prince Philip Hospital, Llanelli, UK.
Jeffrey W StephensDiabetes Research Group, College of Medicine, Swansea University, Swansea, UK.
Prosiect Sir Gâr Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUse of a validated risk-assessment tool to identify individuals at high risk of developing type 2 diabetes is currently recommended. It is under-reported, however, whether a different risk tool alters the predicted risk of an individual.

aimThis study explored any differences between commonly used validated risk-assessment tools for type 2 diabetes. DESIGN AND

settingCross-sectional analysis of individuals who participated in a workplace-based risk assessment in Carmarthenshire, South Wales.

methodRetrospective analysis of 676 individuals (389 females and 287 males) who participated in a workplace-based diabetes risk-assessment initiative. Ten-year risk of type 2 diabetes was predicted using the validated QDiabetes(®), Leicester Risk Assessment (LRA), FINDRISC, and Cambridge Risk Score (CRS) algorithms.

resultsDifferences between the risk-assessment tools were apparent following retrospective analysis of individuals. CRS categorised the highest proportion (13.6%) of individuals at 'high risk' followed by FINDRISC (6.6%), QDiabetes (6.1%), and, finally, the LRA was the most conservative risk tool (3.1%). Following further analysis by sex, over one-quarter of males were categorised at high risk using CRS (25.4%), whereas a greater percentage of females were categorised as high risk using FINDRISC (7.8%).

conclusionThe adoption of a different valid risk-assessment tool can alter the predicted risk of an individual and caution should be used to identify those individuals who really are at high risk of type 2 diabetes.

Indexed as

Occupational HealthPublic HealthWorkplaceAdultBody Mass IndexCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHealth PersonnelHumansMaleMass ScreeningMetallurgyMiddle AgedObesityPrevalencediabetes mellitus, type 2general practiceprimary health carepublic healthriskrisk assessment

Identifiers

PMID26541180
PMCPMC4655740

What Socratic 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 Socratic graph.