Evidence map›Paper›PMID 38654242›Full record

ArticlePopulation health metrics2024

The future burden of type 2 diabetes in Belgium: a microsimulation model.

Elly Mertens, Junior Ocira, Diana Sagastume, Maria Salve Vasquez, Stefanie Vandevijvere, José L Peñalvo

Open access · goldAbstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
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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 at 3 institutions in 2 countries.

Elly MertensUnit of Non-Communicable Diseases, Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.ORCID 0000-0003-4957-4235
Junior OciraUnit of Non-Communicable Diseases, Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.ORCID 0009-0008-6214-8250
Diana SagastumeUnit of Non-Communicable Diseases, Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.ORCID 0000-0002-9130-854X
Maria Salve VasquezDepartment of Epidemiology and Public Health, Service of Health Information, Sciensano, Brussels, Belgium.
Stefanie VandevijvereDepartment of Epidemiology and Public Health, Service of Health Information, Sciensano, Brussels, Belgium.ORCID 0000-0003-3225-7524
José L PeñalvoUnit of Non-Communicable Diseases, Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium. jose.penalvo@uantwerpen.be.ORCID 0000-0003-0096-6238
Instituut voor Tropische Geneeskunde · BESciensano (Belgium) · BEUniversity of Antwerp · BE

Funding

Fonds Wetenschappelijk Onderzoek G0C2520N
6 · The paper itself

Abstract

objectiveTo forecast the annual burden of type 2 diabetes and related socio-demographic disparities in Belgium until 2030.

methodsThis study utilized a discrete-event transition microsimulation model. A synthetic population was created using 2018 national register data of the Belgian population aged 0-80 years, along with the national representative prevalence of diabetes risk factors obtained from the latest (2018) Belgian Health Interview and Examination Surveys using Multiple Imputation by Chained Equations (MICE) as inputs to the Simulation of Synthetic Complex Data (simPop) model. Mortality information was obtained from the Belgian vital statistics and used to calculate annual death probabilities. From 2018 to 2030, synthetic individuals transitioned annually from health to death, with or without developing type 2 diabetes, as predicted by the Finnish Diabetes Risk Score, and risk factors were updated via strata-specific transition probabilities.

resultsA total of 6722 [95% UI 3421, 11,583] new cases of type 2 diabetes per 100,000 inhabitants are expected between 2018 and 2030 in Belgium, representing a 32.8% and 19.3% increase in T2D prevalence rate and DALYs rate, respectively. While T2D burden remained highest for lower-education subgroups across all three Belgian regions, the highest increases in incidence and prevalence rates by 2030 are observed for women in general, and particularly among Flemish women reporting higher-education levels with a 114.5% and 44.6% increase in prevalence and DALYs rates, respectively. Existing age- and education-related inequalities will remain apparent in 2030 across all three regions.

conclusionsThe projected increase in the burden of T2D in Belgium highlights the urgent need for primary and secondary preventive strategies. While emphasis should be placed on the lower-education groups, it is also crucial to reinforce strategies for people of higher socioeconomic status as the burden of T2D is expected to increase significantly in this population segment.

Indexed as

Diabetes Mellitus, Type 2AdolescentAdultAgedAged, 80 and overBelgiumChildChild, PreschoolComputer SimulationCost of IllnessFemaleForecastingHumansIncidenceInfantInfant, NewbornBurdenDiabetesForecastMicrosimulation

Identifiers

PMID38654242
PMCPMC11040979
OpenAlexW4395037309

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.