Evidence map›Paper›PMID 37024151›Full record

ArticleBMJ open diabetes research & care2023

Future number of people with diagnosed type 1 diabetes in Germany until 2040: an analysis based on claims data.

Dina Voeltz, Ralph Brinks, Thaddäus Tönnies, Annika Hoyer

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Article in BMJ open diabetes research & care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

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0cells of the map it votes in
13citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Dina VoeltzBiostatistics and Medical Biometry, Medical School OWL, Bielefeld University, Bielefeld, Germany dina.voeltz@uni-bielefeld.de.ORCID 0000-0002-7579-7144
Ralph BrinksInstitute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany.
Thaddäus TönniesInstitute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany.ORCID 0000-0003-1577-4212
Annika HoyerBiostatistics and Medical Biometry, Medical School OWL, Bielefeld University, Bielefeld, Germany.ORCID 0000-0002-0241-9951

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe aim to project the number of people with diagnosed type 1 diabetes in Germany between 2010 and 2040. RESEARCH DESIGN AND

methodsWe first estimate the age-specific and sex-specific incidence and prevalence of type 1 diabetes in Germany in 2010 using data from 65 million insurees of the German statutory health insurance. Then, we use the illness-death model to project the prevalence of type 1 diabetes until 2040. We alter the incidence and mortality underlying the illness-death model in several scenarios to explore the impact of possible temporal trends on the number of people with type 1 diabetes.

resultsApplying the prevalence from 2010 to the official population projections of Germany's Federal Statistical Office yields a total number of 252 000 people with type 1 diabetes in Germany in 2040 (+1% compared with 2010). Incorporating different annual trends of the incidence and mortality in the projection model results in a future number of people with type 1 diabetes between 292 000 (+18%) and 327 000 (+32%).

conclusionsFor the first time in Germany, we provide estimates for the incidence, prevalence, and number of people with diagnosed type 1 diabetes for the whole German population between 2010 and 2040. The relative increase of the people with type 1 diabetes ranges from 1% to 32% in 2040 compared with 2010. The projected results are mainly influenced by temporal trends in the incidence. Ignoring these trends, that is, applying a constant prevalence to population projections, probably underestimates future chronic disease numbers.

Indexed as

Diabetes Mellitus, Type 1FemaleForecastingGermanyHumansMalechronic diseasediabetes mellitus, type 1epidemiologyincidence

Identifiers

PMID37024151
PMCPMC10083786

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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.