Evidence map›Paper›PMID 37626403›Full record

ArticleArchives of public health = Archives belges de sante publique2023

Investigating years of life lost in Belgium, 2004-2019: A comprehensive analysis using a probabilistic redistribution approach.

Brecht Devleesschauwer, Aline Scohy, Robby De Pauw, Vanessa Gorasso, Anne Kongs, Elias Neirynck, Peter Verduyckt, Grant M A Wyper, Laura Van den Borre

Open access · goldAbstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 4 citations in OpenAlex.

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  5. The importance of redistribution process of ill-defined deaths in national mortality database.Archives of public health = Archives belges de sante publique · 2025
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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

9 authors at 8 institutions in 2 countries.

Brecht DevleesschauwerService Health Information, Department of Epidemiology and Public Health, Sciensano, Rue Juliette Wytsman 14, Brussels, 1050, Belgium. brecht.devleesschauwer@sciensano.be.
Aline ScohyService Health Information, Department of Epidemiology and Public Health, Sciensano, Rue Juliette Wytsman 14, Brussels, 1050, Belgium.
Robby De PauwService Health Information, Department of Epidemiology and Public Health, Sciensano, Rue Juliette Wytsman 14, Brussels, 1050, Belgium.
Vanessa GorassoService Health Information, Department of Epidemiology and Public Health, Sciensano, Rue Juliette Wytsman 14, Brussels, 1050, Belgium.
Anne KongsDepartment of Care, Flemish Public Administration, Brussels, Belgium.
Elias NeirynckStatistics Belgium, Brussels, Belgium.
Peter VerduycktBrussels-Capital Health and Social Observatory, Brussels, Belgium.
Grant M A WyperPlace and Wellbeing Directorate, Public Health Scotland, Glasgow, UK.
Laura Van den BorreService Health Information, Department of Epidemiology and Public Health, Sciensano, Rue Juliette Wytsman 14, Brussels, 1050, Belgium.
Sciensano (Belgium) · BEEuropean Social Observatory · BEFlemish Government · BEGhent University · BEInstitut Scientifique de Santé Publique · BEPublic Health Scotland · GBStatistics Belgium · BEVrije Universiteit Brussel · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInformation on years of life lost (YLL) due to premature mortality is instrumental to assess the fatal impact of disease and necessary for the calculation of Belgian disability-adjusted life years (DALYs). This study presents a novel method to reallocate causes of death data. MATERIALS AND

methodsCauses of death data are provided by Statistics Belgium (Statbel). First, the specific ICD-10 codes that define the underlying cause of death are mapped to the GBD cause list. Second, ill-defined deaths (IDDs) are redistributed to specific ICD-10 codes. A four-step probabilistic redistribution was developed to fit the Belgian context: redistribution using predefined ICD codes, redistribution using multiple causes of death data, internal redistribution, and redistribution to all causes. Finally, we used the GBD 2019 reference life table to calculate Standard Expected Years of Life Lost (SEYLL).

resultsIn Belgium, between 2004 and 2019, IDDs increased from 31 to 34% of all deaths. The majority was redistributed using predefined ICD codes (14-15%), followed by the redistribution using multiple causes of death data (10-12%). The total number of SEYLL decreased from 1.83 to 1.73 million per year. In 2019, the top cause of SEYLL was lung cancer with a share of 8.5%, followed by ischemic heart disease (8.1%) and Alzheimer's disease and other dementias (5.7%). All results are available in an online tool https://burden.sciensano.be/shiny/mortality2019/ .

conclusionThe redistribution process assigned a specific cause of death to all deaths in Belgium, making it possible to investigate the full mortality burden for the first time. A large number of estimates were produced to estimate SEYLL by age, sex, and region for a large number of causes of death and every year between 2004 and 2019. These estimates are important stepping stones for future investigations on Disability-Adjusted Life Years (DALYs) in Belgium.

Indexed as

BelgiumBurden of diseaseCause of deathGarbage codeIll-defined deathMortalityRedistributionYears of life lost

Identifiers

PMID37626403
PMCPMC10464430
OpenAlexW4386167597

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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.