Evidence map›Paper›PMID 25402347›Full record

ArticlePloS one2014

Regional differences of undiagnosed type 2 diabetes and prediabetes prevalence are not explained by known risk factors.

Teresa Tamayo, Sabine Schipf, Christine Meisinger, Michaela Schunk, Werner Maier, Christian Herder, Michael Roden, Matthias Nauck, Annette Peters, Henry Völzke and 1 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Trial
  4. Trial
  5. Cardiovascular profiling in the diabetic continuum: results from the population-based Gutenberg Health Study.Clinical research in cardiology : official journal of the German Cardiac Society · 2022
    Observational
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  11. TeDia - A Telemedicine-Based Treatment Model for Inpatient and Interprofessional Diabetes Care.Diabetes, metabolic syndrome and obesity : targets and therapy · 2019
    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

11 authors.

Teresa TamayoInstitute of Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University, Düsseldorf, Germany; Competence Network Diabetes mellitus (Federal Ministry of Education and Research, Germany), Sites Düsseldorf, Munich and Greifswald, Germany.
Sabine SchipfInstitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; Competence Network Diabetes mellitus (Federal Ministry of Education and Research, Germany), Sites Düsseldorf, Munich and Greifswald, Germany.
Christine MeisingerHelmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology II, Neuherberg, Germany; Competence Network Diabetes mellitus (Federal Ministry of Education and Research, Germany), Sites Düsseldorf, Munich and Greifswald, Germany.
Michaela SchunkHelmholtz Zentrum München, German Research Center for Environmental Health, Institute of Health Economics and Health Care Management, Neuherberg, Germany; Competence Network Diabetes mellitus (Federal Ministry of Education and Research, Germany), Sites Düsseldorf, Munich and Greifswald, Germany.
Werner MaierHelmholtz Zentrum München, German Research Center for Environmental Health, Institute of Health Economics and Health Care Management, Neuherberg, Germany; Competence Network Diabetes mellitus (Federal Ministry of Education and Research, Germany), Sites Düsseldorf, Munich and Greifswald, Germany.
Christian HerderInstitute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University, Düsseldorf, Germany; German Center for Diabetes Research (DZD e.V.), Sites Düsseldorf and Munich, Germany.
Michael RodenInstitute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University, Düsseldorf, Germany; Department of Endocrinology and Diabetology, University Hospital Düsseldorf, Düsseldorf, Germany; German Center for Diabetes Research (DZD e.V.), Sites Düsseldorf and Munich, Germany.
Matthias NauckInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany; Competence Network Diabetes mellitus (Federal Ministry of Education and Research, Germany), Sites Düsseldorf, Munich and Greifswald, Germany.
Annette PetersHelmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology II, Neuherberg, Germany; German Center for Diabetes Research (DZD e.V.), Sites Düsseldorf and Munich, Germany; German Center of Cardiovascular Research (DZHK e.V.), Sites Munich and Greifswald, Germany.
Henry VölzkeInstitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; German Center of Cardiovascular Research (DZHK e.V.), Sites Munich and Greifswald, Germany; Competence Network Diabetes mellitus (Federal Ministry of Education and Research, Germany), Sites Düsseldorf, Munich and Greifswald, Germany.
Wolfgang RathmannInstitute of Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University, Düsseldorf, Germany; Competence Network Diabetes mellitus (Federal Ministry of Education and Research, Germany), Sites Düsseldorf, Munich and Greifswald, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe have previously found regional differences in the prevalence of known type 2 diabetes between northeastern and southern Germany. We aim to also provide prevalence estimates for prediabetes (isolated impaired fasting glucose (i-IFG), isolated glucose intolerance (i-IGT), combined IFG and IGT) and unknown type 2 diabetes for both regions.

methodsPrevalence (95%CI) of prediabetes (i-IFG: fasting glucose 5.6-6.9 mmol/l; i-IGT: 2 h postchallenge glucose 7.8-11.0 mmol/l, oral glucose tolerance test (OGTT), ≥ 8 h overnight fasting) and unknown diabetes were analyzed in two regional population-based surveys (age group 35-79 years): SHIP-TREND (Study of Health in Pomerania (northeast), 2008-2012) and KORA F4 (Cooperative Health Research in the region of Augsburg (south), 2006-2008). Both studies used similar methods, questionnaires, and identical protocols for OGTT. Overall, 1,980 participants from SHIP-TREND and 2,617 participants from KORA F4 were included.

resultsAge-sex-standardized prevalence estimates (95%CI) of prediabetes and unknown diabetes were considerably higher in the northeast (SHIP-TREND: 43.1%; 40.9-45.3% and 7.1%; 5.9-8.2%) than in the south of Germany (KORA F4: 30.1%; 28.4-31.7% and 3.9%; 3.2-4.6%), respectively. In particular, i-IFG (26.4%; 24.5-28.3% vs. 17.2%; 15.7-18.6%) and IFG+IGT (11.2%; 9.8-12.6% vs. 6.6%; 5.7-7.5%) were more frequent in SHIP-TREND than in KORA. In comparison to normal glucose tolerance, the odds of having unknown diabetes (OR, 95%CI: 2.59; 1.84-3.65) or prediabetes (1.98; 1.70-2.31) was higher in the northeast than in the south after adjustment for known risk factors (obesity, lifestyle).

conclusionsThe regional differences of prediabetes and unknown diabetes are in line with the geographical pattern of known diabetes in Germany. The higher prevalences in the northeast were not explained by traditional risk factors.

Indexed as

AdultAgedDiabetes Mellitus, Type 2FastingFemaleGeographyGermanyGlucose IntoleranceGlucose Tolerance TestHealth SurveysHumansLife StyleMaleMiddle AgedObesityPrediabetic State

Identifiers

PMID25402347
PMCPMC4234669

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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.