Evidence map›Paper›PMID 31345191›Full record

ArticleBMC endocrine disorders2019

Evaluation and refinement of the PRESTARt tool for identifying 12-14 year olds at high lifetime risk of developing type 2 diabetes compared to a clinicians assessment of risk: a cross-sectional study.

Laura J Gray, Emer M Brady, Olatz Albaina, Charlotte L Edwardson, Deirdre Harrington, Kamlesh Khunti, Joanne Miksza, João Filipe Raposo, Ellesha Smith, Andriani Vazeou and 4 more

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in BMC endocrine disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

14 authors.

Laura J GrayDepartment of Health Sciences, College of Life Sciences, University of Leicester, George Davies Centre, University Road, Leicester, LE1 7RH, UK. lg48@leicester.ac.uk.
Emer M BradyLeicester Diabetes Centre, University Hospitals of Leicester, Leicester, LE5 4PW, UK.
Olatz AlbainaKronikgune, Torre del BEC (Bilbao Exhibition Centre), Ronda de Azkue, 1, 48902, Barakaldo, Bizkaia, Spain.
Charlotte L EdwardsonDiabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK.
Deirdre HarringtonDiabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK.
Kamlesh KhuntiDiabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK.
Joanne MikszaDiabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK.
João Filipe RaposoAssociacao Protectora dos Diabeticas de Portugal, Lisboa, Portugal.
Ellesha SmithDepartment of Health Sciences, College of Life Sciences, University of Leicester, George Davies Centre, University Road, Leicester, LE1 7RH, UK.
Andriani VazeouDiabetes Center, Department of Pediatrics, P&A Kyriakou Children's Hospital, Athens, Greece.
Itziar VergaraKronikgune, Torre del BEC (Bilbao Exhibition Centre), Ronda de Azkue, 1, 48902, Barakaldo, Bizkaia, Spain.
Susann Weihrauch-BlüherIntegrated Research and Treatment Center (IFB) Adiposity Diseases, University of Leipzig, Leipzig, Germany.
Melanie J DaviesLeicester Diabetes Centre, University Hospitals of Leicester, Leicester, LE5 4PW, UK.
PRE-STARt Collaborative

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraditionally Type 2 Diabetes Mellitus (T2DM) was associated with older age, but is now being increasingly diagnosed in younger populations due to the increasing prevalence of obesity and inactivity. We aimed to evaluate whether a tool developed for community use to identify adolescents at high lifetime risk of developing T2DM agreed with a risk assessment conducted by a clinician using data collected from five European countries. We also assessed whether the tool could be simplified.

methodsTo evaluate the tool we collected data from 636 adolescents aged 12-14 years from five European countries. Each participant's data were then assessed by two clinicians independently, who judged each participant to be at either low or high risk of developing T2DM in their lifetime. This was used as the gold standard to which the tool was evaluated and refined.

resultsThe refined tool categorised adolescents at high risk if they were overweight/obese and had at least one other risk factor (High waist circumference, family history of diabetes, parental obesity, not breast fed, high sugar intake, high screen time, low physical activity and low fruit and vegetable intake). Of those found to be at high risk by the clinicians, 93% were also deemed high risk by the tool. The specificity shows that 67% of those deemed at low risk by the clinicians were also found to be a low risk by the tool.

conclusionsWe have evaluated a tool for identifying adolescents with risk factors associated with the development of T2DM in the future. Future work to externally validate the tool using prospective data including T2DM incidence is required.

Indexed as

Waist CircumferenceAdolescentBiomarkersCross-Sectional StudiesDiabetes Mellitus, Type 2EuropeFemaleFollow-Up StudiesHumansIncidenceMaleObesityOverweightPrognosisRisk AssessmentRisk FactorsBiomarkersAdolescentDiabetes mellitus, type 2EuropeObesityRisk factors

Identifiers

PMID31345191
PMCPMC6659313

What OpenQuestion holds

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LicenceCC BY
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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.