Evidence map›Paper›PMID 32748175›Full record

Observational studyActa diabetologica2020

Toward targeted prevention: risk factors for prediabetes defined by impaired fasting glucose, impaired glucose tolerance and increased HbA1c in the population-based KORA study from Germany.

Gregory G Greiner, Karl M F Emmert-Fees, Jana Becker, Wolfgang Rathmann, Barbara Thorand, Annette Peters, Anne S Quante, Lars Schwettmann, Michael Laxy

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Acta diabetologica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  6. Review
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  8. Review
  9. Prediabetes in Syria and Its Associated Factors: A Single-Center Cross-Sectional Study.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2022
    Article
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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

9 authors at 4 institutions in 2 countries.

Gregory G GreinerInstitute for Health Services Research and Health Economics, German Diabetes Center, Auf'm Hennekamp 65, 40225, Duesseldorf, Germany. gregory.greiner@ddz.de.ORCID http://orcid.org/0000-0001-7341-0818
Karl M F Emmert-FeesInstitute of Health Economics and Health Care Management, Helmholtz Zentrum München GmbH, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Jana BeckerInstitute of Health Economics and Health Care Management, Helmholtz Zentrum München GmbH, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Wolfgang RathmannInstitute for Biometry and Epidemiology, German Diabetes Center, Auf'm Hennekamp 65, 40225, Duesseldorf, Germany.
Barbara ThorandGerman Centre for Diabetes Research (DZD), Ingolstädter Landstraße 1, 85764, Munich-Neuherberg, Germany.
Annette PetersGerman Centre for Diabetes Research (DZD), Ingolstädter Landstraße 1, 85764, Munich-Neuherberg, Germany.
Anne S QuanteInstitute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Lars SchwettmannInstitute of Health Economics and Health Care Management, Helmholtz Zentrum München GmbH, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Michael LaxyInstitute of Health Economics and Health Care Management, Helmholtz Zentrum München GmbH, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Helmholtz Zentrum München · DEEmory University · USTUM Klinikum · DEZimmer Biomet (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo identify socioeconomic, behavioral and clinical factors that are associated with prediabetes according to different prediabetes definition criteria.

methodsAnalyses use pooled data of the population-based Cooperative Health Research in the Region of Augsburg (KORA) studies (n = 5312 observations aged ≥ 38 years without diabetes). Prediabetes was defined through either impaired fasting glucose (IFG), impaired glucose tolerance (IGT) or elevated HbA1c according to thresholds of the American Diabetes Association. Explanatory variables were regressed on prediabetes using generalized estimating equations.

resultsMean age was 58.4 years; 50% had prediabetes (33% had IFG, 16% IGT, and 26% elevated HbA1c, 10% fulfilled all three criteria). Age, obesity, hypertension, low education, unemployment, statutory health insurance, urban residence and physical inactivity were associated with prediabetes. Male sex was a stronger risk factor for IFG (OR = 2.5; 95%-CI: 2.2-2.9) than for IGT or elevated HbA1c, and being unemployed was a stronger risk factor for IGT (OR = 3.2 95%-CI: 2.6-4.0) than for IFG or elevated HbA1c.

conclusionsThe overlap of people with IFG, IGT and elevated HbA1c is small, and some factors are associated with only one criterion. Knowledge on sociodemographic and socioeconomic risk factors can be used to effectively target interventions to people at high risk for type 2 diabetes.

Indexed as

AdultAgedBlood GlucoseDiabetes Mellitus, Type 2FastingFemaleGermanyGlucose IntoleranceGlycated HemoglobinHealth Services Needs and DemandHumansMaleMiddle AgedPrediabetic StatePreventive MedicineRisk FactorsBlood GlucoseGlycated HemoglobinEpidemiologyIFGIGTIncreased HbA1cPrediabetesPrevention

Identifiers

PMID32748175
PMCPMC7591423
OpenAlexW3047573997

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.