Evidence map›Paper›PMID 38409438›Full record

ArticleDiabetologia2024

Incidence trend of type 2 diabetes from 2012 to 2021 in Germany: an analysis of health claims data of 11 million statutorily insured people.

Carolin T Lehner, Marian Eberl, Ewan Donnachie, Luana F Tanaka, Gunther Schauberger, Florian Schederecker, Sebastian Himmler, Leonie Sundmacher, Stefanie J Klug

Erratum issuedAbstract read
In one paragraph

Article in Diabetologia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  4. Type 2 diabetes in Norway 2009-2021: Have declining incidence rates continued?Diabetic medicine : a journal of the British Diabetic Association · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Carolin T LehnerChair of Epidemiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0009-0004-5628-6631
Marian EberlChair of Epidemiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0001-6584-3197
Ewan DonnachieBavarian Association of Statutory Health Insurance Physicians, Munich, Germany.ORCID http://orcid.org/0000-0002-0668-0049
Luana F TanakaChair of Epidemiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-2086-7491
Gunther SchaubergerChair of Epidemiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-0392-1580
Florian SchedereckerChair of Epidemiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-5222-2348
Sebastian HimmlerChair of Health Economics, School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-6565-5353
Leonie SundmacherChair of Health Economics, School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0001-6057-8363
Stefanie J KlugChair of Epidemiology, School of Medicine and Health, Technical University of Munich, Munich, Germany. sekretariat.klug@tum.de.ORCID http://orcid.org/0000-0003-3523-1362

Funding

Deutsche Forschungsgemeinschaft 458556631
6 · The paper itself

Abstract

aims/hypothesisThe aim of the study is to describe the time trend of type 2 diabetes incidence in the largest state of Germany, Bavaria, from 2012 to 2021, and to compare the incidence rates during the pandemic period (2020-2021) to the pre-pandemic period (2012-2019).

methodsThis secondary data analysis uses health claims data provided by the Bavarian Association of Statutory Health Insurance Physicians (KVB), covering approximately 11 million insurees, accounting for 85% of the total population of Bavaria, Germany. Newly diagnosed type 2 diabetes cases in adults (≥20 years) coded as E11 (Diabetes mellitus, Type 2) or E14 (Unspecified diabetes mellitus) under ICD-10, German modification (ICD-10-GM) for the study period 2012 to 2021 were included. Annual and quarterly age-standardised incidence rates (ASIR) stratified by sex, age and region were calculated using the European standard population. Sex-specific crude incidence rates (CIR) were calculated using 10-year age groups. Regression analyses adjusted for time trends, seasonal effects, and pandemic effects were used to analyse the incidence trend and to assess the effect of the pandemic.

resultsOverall, 745,861 new cases of type 2 diabetes were diagnosed between 2012 and 2021: 50.4% (376,193 cases) in women. The male/female ratio remained stable over the observation period, while the median age at diagnosis decreased from 61 to 58 years in men and from 66 years to 61 years in women. ASIR were consistently higher for men compared with women, with the yearly difference remaining stable over time (2012: 18%; 2021: 20%). An overall decreasing trend in ASIR was observed during the study period, with a strong decrease from 2012 to 2017, followed by a less pronounced decline from 2018 to 2021 for both sexes. For men, ASIR decreased from 1514 per 100,000 person-years in 2012 to 995 per 100,000 person-years in 2021 (4.6% average annual reduction), and for women from 1238 per 100,000 person-years in 2012 to 796 per 100,000 person-years in 2021 (4.8% average annual reduction). This downward trend was also observed for age groups above 50 years. Regression analyses showed no significant change in incidence rates during the pandemic period (2020 and 2021) compared with the pre-pandemic period. CONCLUSIONS/

interpretationFor the first time, a 10-year incidence trend of type 2 diabetes is reported for Germany, showing a strong decline from 2012 to 2017, followed by a less pronounced decline from 2018 to 2021. The incidence trend of type 2 diabetes appears not to have been affected by the first 2 years of the COVID-19 pandemic. Despite an overall increasing prevalence, the incidence is decreasing, potentially resulting from robust screening by family physicians, reducing the median age at diagnosis by 3 to 5 years. However, further investigation is needed to fully identify the reasons for the declining incidence trend. Continued incidence monitoring is necessary to identify the long-term trend and the potential effect of the pandemic on diagnoses of type 2 diabetes.

Indexed as

Diabetes Mellitus, Type 2AdultAgedAged, 80 and overCOVID-19FemaleGermanyHumansIncidenceInsurance, HealthMaleMiddle AgedPandemicsYoung AdultEpidemiologyHealth claims dataIncidenceTrendsType 2 diabetes

Identifiers

PMID38409438
PMCPMC11058936

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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.