Evidence map›Paper›PMID 39026351›Full record

ArticlePopulation health metrics2024

Projecting the economic burden of type 1 and type 2 diabetes mellitus in Germany from 2010 until 2040.

Dina Voeltz, Maximilian Vetterer, Esther Seidel-Jacobs, Ralph Brinks, Thaddäus Tönnies, Annika Hoyer

Abstract read
In one paragraph

Article in Population health metrics, 2024. 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
–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

10 citing papers in PubMed.

  1. Article
  2. Observational
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. 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

6 authors.

Dina VoeltzBiostatistics and Medical Biometry, Medical School OWL, Bielefeld University, Universitätsstr. 25, 33615, Bielefeld, Germany. dina.voeltz@uni-bielefeld.de.ORCID 0000-0002-7579-7144
Maximilian VettererDepartment of Statistics, Ludwig-Maximilians-University, Munich, Germany.
Esther Seidel-JacobsInstitute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich-Heine-University, Düsseldorf, Germany.ORCID 0000-0002-2200-4024
Ralph BrinksInstitute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich-Heine-University, Düsseldorf, Germany.ORCID 0000-0003-0961-6592
Thaddäus TönniesInstitute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich-Heine-University, Düsseldorf, Germany.ORCID 0000-0003-1577-4212
Annika HoyerBiostatistics and Medical Biometry, Medical School OWL, Bielefeld University, Universitätsstr. 25, 33615, Bielefeld, Germany.ORCID 0000-0002-0241-9951

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim is to estimate age- and sex-specific direct medical costs related to diagnosed type 1 and type 2 diabetes in Germany between 2010 and 2040.

methodsBased on nationwide representative epidemiological routine data from 2010 from the statutory health insurance in Germany (almost 80% of the population's insurance) we projected age- and sex-specific healthcare expenses for type 1 and 2 diabetes considering future demographic, disease-specific and cost trends. We combine per capita healthcare cost data (obtained from aggregated claims data from an almost 7% random sample of all German people with statutory health insurance) together with the demographic structure of the German population (obtained from the Federal Statictical Office), diabetes prevalence, incidence and mortality. Direct per capita costs, total annual costs, cost ratios for people with versus without diabetes and attributable costs were estimated. The source code for running the analysis is publicly available in the open-access repository Zenodo.

resultsIn 2010, total healthcare costs amounted to more than €1 billion for type 1 and €28 billion for type 2 diabetes. Depending on the scenario, total annual expenses were projected to rise remarkably until 2040 compared to 2010, by 1-281% for type 1 (€1 to €4 billion) and by 8-364% for type 2 diabetes (€30 to €131 billion). In a relatively probable scenario total costs amount to about €2 and €79 billion for type 1 and type 2 diabetes in 2040, respectively. Depending on annual cost growth (1% p.a. as realistic scenario vs. 5% p.a. as very extreme setting), we estimated annual per capita costs of €6,581 to €12,057 for type 1 and €5,245 to €8,999 for type 2 diabetes in 2040.

conclusionsDiabetes imposes a large economic burden on Germany which is projected to increase substantially until 2040. Temporal trends in the incidence and cost growth are main drivers of this increase. This highlight the need for urgent action to prepare for the potential development and mitigate its consequences.

Indexed as

Cost of IllnessDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Health Care CostsAdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleGermanyHumansIncidenceInfantInfant, NewbornCost analysisEconomic burden of diseaseEpidemiologyHealthcare costsProjectionType 1 diabetesType 2 diabetes

Identifiers

PMID39026351
PMCPMC11264726

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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.