Evidence map›Paper›PMID 28694339›Full record

ArticleBMJ open2017

Temporal changes in predicted risk of type 2 diabetes in Germany: findings from the German Health Interview and Examination Surveys 1997-1999 and 2008-2011.

Rebecca Paprott, Gert B M Mensink, Matthias B Schulze, Silke Thiele, Kristin Mühlenbruch, Christa Scheidt-Nave, Christin Heidemann

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

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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

7 authors at 5 institutions in 1 country.

Rebecca PaprottDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
Gert B M MensinkDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
Matthias B SchulzeGerman Center for Diabetes Research (DZD), Neuherberg, Germany.
Silke ThieleDepartment of Food Economics and Consumption Studies, Christian-Albrechts-University Kiel, Kiel, Germany.
Kristin MühlenbruchGerman Center for Diabetes Research (DZD), Neuherberg, Germany.
Christa Scheidt-NaveDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
Christin HeidemannDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
German Center for Diabetes Research · DERobert Koch Institute · DEChristian-Albrechts-Universität zu Kiel · DEDeutsches Diabetes-Zentrum e.V. · DEHeinrich Heine University Düsseldorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOver time, prevalence changes in individual diabetes risk factors have been observed for Germany and other European countries. We aimed to investigate the temporal change of a summary measure of type 2 diabetes risk in Germany.

designComparison of data from two cross-sectional surveys that are about 12 years apart.

settingTwo nationwide health examination surveys representative for the non-institutionalised population aged 18-79 years in Germany.

participantsThe study included participants without diagnosed diabetes from the national health examination surveys in 1997-1999 (n=6457) and 2008-2011 (n=6095). OUTCOME MEASURES: Predicted 5-year type 2 diabetes risk was calculated using the German Diabetes Risk Score (GDRS), which considers information on age, anthropometry, lifestyle factors, hypertension and family history of diabetes.

resultsBetween the two survey periods, the overall age- and sex-standardised predicted 5-year risk of type 2 diabetes decreased by 27% from 1.5% (95% CI 1.4% to 1.6%) to 1.1% (1.0% to 1.2%). The decrease in red meat intake and waist circumference had the highest impact on the overall decrease in diabetes risk. In stratified analyses, diabetes risk decreased among both sexes and within strata of age and body mass index. Diabetes risk also decreased among highly educated persons, but remained unchanged among persons with a middle or low educational level.

conclusionsMonitoring type 2 diabetes risk by a summary measure such as the GDRS could essentially contribute to interpret the dynamics in diabetes epidemiology.

Indexed as

AdolescentAdultAgedBody Mass IndexCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleGermanyHealth SurveysHumansLife StyleMaleMiddle AgedPrevalencePrognosisRisk Assessmentdiabetes epidemiologyGermanypredicted riskrisk factorsType 2 diabetes

Identifiers

PMID28694339
PMCPMC5541581
OpenAlexW2736017003

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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.