Evidence map›Paper›PMID 23762204›Full record

ReviewDeutsches Arzteblatt international2013

Type 2 diabetes: prevalence and relevance of genetic and acquired factors for its prediction.

Wolfgang Rathmann, Christa Scheidt-Nave, Michael Roden, Christian Herder

Abstract readReview
In one paragraph

Review in Deutsches Arzteblatt international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Pooled it
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  4. Observational
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  12. Observational
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  19. Changes in the prevalence of diabetes mellitus in bulgaria (2006-2012).Clinical medicine insights. Endocrinology and diabetes · 2015
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  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Wolfgang RathmannInstitute of Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, Düsseldorf, Germany.
Christa Scheidt-Nave
Michael Roden
Christian Herder

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe epidemiology of type 2 diabetes in Germany is of major societal interest, as is the question of the predictive value of genetic and acquired risk factors.

methodsWe present clinically relevant aspects of these topics on the basis of a selective review of pertinent literature retrieved by a PubMed search that centered on population-based studies.

resultsThe German Health Interview and Examination Survey for Adults (Studie zur Gesundheit Erwachsener in Deutschland [DEGS1], 2008-2011) revealed that diabetes was diagnosed in 7.2% of the population aged 18 to 79 years (women 7.4%, men 7.0%). These figures are two percentage points higher than those found in the preceding national survey (1998). The percentage of cases that were not captured by these surveys is estimated at 2% to 7% depending on the method. Independently of personal factors (the individual's life style), it seems that living in a disadvantaged region characterized by high unemployment, air pollution, and poor infrastructure raises the risk of diabetes. Moreover, type 2 diabetes has a substantial hereditary component. More than 60 genetic regions have been identified to date that affect the risk of type 2 diabetes, yet all of them together account for only 10% to 15% of the genetic background of the disease.

conclusionThe prevalence of type 2 diabetes in Germany has risen in recent years. The discovery of new genetic variants that confer a higher risk of developing the disease has improved our understanding of insulin secretion in diabetes pathogenesis rather than the prediction of individual diabetes risk ("personalized medicine").

Indexed as

AdolescentAdultAgedAge DistributionDiabetes Mellitus, Type 2FemaleGenetic Predisposition to DiseaseGermanyHumansMaleMiddle AgedPrevalenceRisk AssessmentSex DistributionSocial ClassSurvival Analysis

Identifiers

PMID23762204
PMCPMC3673039

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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.