Evidence map›Paper›PMID 34253084›Full record

ArticleJournal of diabetes science and technology2021

Heterogeneity of Access to Diabetes Technology Depending on Area Deprivation and Demographics Between 2016 and 2019 in Germany.

Marie Auzanneau, Joachim Rosenbauer, Werner Maier, Simone von Sengbusch, Johannes Hamann, Thomas Kapellen, Guido Freckmann, Silke Schmidt, Eggert Lilienthal, Reinhard W Holl

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Article
  4. Review
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. [Diabetes and migration (update 2023)].Wiener klinische Wochenschrift · 2023
    Article
  15. Article
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

10 authors at 7 institutions in 1 country.

Marie AuzanneauInstitute of Epidemiology and Medical Biometry, ZIBMT, University of Ulm, Ulm, Baden-Württemberg, Germany.ORCID 0000-0002-5906-6579
Joachim RosenbauerGerman Center for Diabetes Research (DZD), Neuherberg, Germany.
Werner MaierGerman Center for Diabetes Research (DZD), Neuherberg, Germany.
Simone von SengbuschDepartment of Pediatrics and Adolescent Medicine, Division of Pediatric Endocrinology and Diabetes, University of Lübeck, Lübeck, Schleswig-Holstein, Germany.
Johannes HamannDepartment of Pediatrics, St. Marien Hospital Landshut, Landshut, Germany.
Thomas KapellenDepartment of Women and Child Health, Hospital for Children and Adolescents, University of Leipzig, Leipzig, Sachsen, Germany.
Guido FreckmannInstitut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Baden-Württemberg, Ulm, Germany.ORCID 0000-0002-0406-9529
Silke SchmidtDepartment of Paediatrics and Adolescent Medicine, Klinikum Dritter Orden, Munich, Bavaria, Germany.
Eggert LilienthalDepartment of Pediatrics, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Nordrhein-Westfalen, Germany.
Reinhard W HollInstitute of Epidemiology and Medical Biometry, ZIBMT, University of Ulm, Ulm, Baden-Württemberg, Germany.
Universität Ulm · DEDeutsches Diabetes-Zentrum e.V. · DEHelmholtz Zentrum München · DEMünchen Klinik · DESt. Josef-Hospital · DEUniversity of Applied Sciences Landshut · DEUniversity of Lübeck · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite increasing use of technology in type 1 diabetes, persistent ethnic and socio-economic disparities have been reported. We analyzed how the use of insulin pump therapy and continuous glucose monitoring (CGM) evolved over the years in Germany depending on demographics and area deprivation.

methodWe investigated the use of insulin pump and CGM between 2016 and 2019 in 37,798 patients with type 1 diabetes aged < 26 years from the German Prospective Follow-up Registry (DPV). Associations with federal state, area-deprivation quintile (German Index of Multiple Deprivation 2010 on district level), gender, and migration background were investigated over time using multiple logistic regression.

resultsBetween 2016 and 2019, the regional distribution of insulin pump use did not change substantially and the association with area deprivation remained non-linear and statistically non-significant. The effect of area deprivation on CGM use decreased continuously and disappeared in 2019 (OR [95%-CI] Q1 vs Q5: 1.85 [1.63-2.10] in 2016; 0.97 [0.88-1.08] in 2019). The effect of migration background on the use of either technology decreased over the years but remained significant in 2019. Girls had constantly higher odds of using an insulin pump than boys (OR: 1.25 [1.18-1.31] in 2019), whereas no gender difference was identified for CGM use.

conclusionsAlthough disparities decreased in Germany, access to diabetes technology still depends on migration background in 2019, and gender differences in pump use persist. As technological advances are made, further research is needed to understand the reasons for these persistent disparities.

Indexed as

Blood Glucose Self-MonitoringDiabetes Mellitus, Type 1Blood GlucoseDemographyFemaleGermanyHumansHypoglycemic AgentsInsulinInsulin Infusion SystemsMaleProspective StudiesTechnologyBlood GlucoseHypoglycemic AgentsInsulinCGMdeprivationinsulin pumpmigrationtype 1 diabetes

Identifiers

PMID34253084
PMCPMC8442190
OpenAlexW3182541520

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.