Evidence map›Paper›PMID 30466172›Full record

ReviewDiabetic medicine : a journal of the British Diabetic Association2019

How do we identify people at high risk of Type 2 diabetes and help prevent the condition from developing?

J Fagg, J Valabhji

Abstract readReview
In one paragraph

Review in Diabetic medicine : a journal of the British Diabetic Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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  8. How do we identify people at high risk of Type 2 diabetes and help prevent the condition from developing?Diabetic medicine : a journal of the British Diabetic Association · 2019
    Review
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

2 authors.

J FaggPublic Health England, London, UK.ORCID 0000-0002-0870-3830
J ValabhjiNHS England, Imperial College Healthcare NHS Trust, Imperial College London, London, UK.ORCID 0000-0001-9756-4061

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo review the evidence regarding the identification of those at high risk of Type 2 diabetes and the conceptual and clinical criteria defining high risk, the prevention or delay of onset of Type 2 diabetes through lifestyle interventions, and the evolution of evidence from efficacy trials, through effectiveness trials in real-world settings, to implementation programmes at scale.

methodThe wide scope of this review precluded a systematic approach, therefore, we present a narrative review that highlights key themes and contemporary developments, drawing on landmark studies, previous systematic and expert reviews, and previous meta-analyses.

resultsWhile the diagnostic thresholds for Type 2 diabetes are accepted, international consensus on whether, and how, to classify those at high risk of Type 2 diabetes has not been achieved. There is ongoing debate about which laboratory test to use and each test's corresponding inclusion threshold, about where the balance of clinical benefits and harms sit when defining thresholds, and about how affordability of subsequent preventative interventions might influence the derivation of such thresholds within any particular population. A remarkable international effort has seen the evolution of interventions for those at high risk move from efficacy trials, through effectiveness trials, to implementation at scale, and the evidence supporting each stage is reviewed.

conclusionsTo achieve healthcare system sustainability, many countries are now focusing on disease prevention. To complement population-level interventions that address the obesogenic environment, lifestyle interventions that empower individuals at high risk of Type 2 diabetes to modify this risk beneficially are now being implemented at scale.

Indexed as

Diabetes Mellitus, Type 2HumansMass ScreeningPrediabetic StatePreventive MedicineResearchRisk AssessmentRisk Factors

Identifiers

PMID30466172
PMCPMC6590463

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Registered trials

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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.