ArticleArchives of public health = Archives belges de sante publique2021
Redistributing ill-defined causes of death - a case study from the BURDEN 2020-project in Germany.
Article in Archives of public health = Archives belges de sante publique, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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.
Who cites it
14 citing papers in PubMed.
- Ill-Defined Deaths in Slovenia: Implications for Mortality Data Quality and Burden of Disease Studies.Zdravstveno varstvo · 2026Article
- Enhancing identification of suspected unregulated drug toxicity deaths in administrative health records: a case study among people with HIV in British Columbia, Canada.BMC public health · 2026Article
- The importance of redistribution process of ill-defined deaths in national mortality database.Archives of public health = Archives belges de sante publique · 2025Article
- Estimating years of life lost due to premature mortality at regional level in France in 2017, using a probabilistic redistribution approach.BMC public health · 2025Article
- Coronary heart disease and stroke mortality trends in Australia and New Zealand: comparison of official national mortality data and Global Burden of Disease estimates.International journal of epidemiology · 2025Article
- [Cause of death statistics-how to avoid misinterpretation of mortality data].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025Article
- Territorial gaps on quality of causes of death statistics over the last forty years in Spain.BMC public health · 2024Article
- Investigating years of life lost in Belgium, 2004-2019: A comprehensive analysis using a probabilistic redistribution approach.Archives of public health = Archives belges de sante publique · 2023Article
- The Burden of Disease in Germany at the National and Regional Level—Results in Terms of Disability-Adjusted Life Years (DALY) from the BURDEN 2020 Study.Deutsches Arzteblatt international · 2022Article
- Redistribution of garbage codes to underlying causes of death: a systematic analysis on Italy and a comparison with most populous Western European countries based on the Global Burden of Disease Study 2019.European journal of public health · 2022Article
- Recommendations to plan a national burden of disease study.Archives of public health = Archives belges de sante publique · 2021Article
- Years of Life Lost to Death—A Comprehensive Analysis of Mortality in Germany Conducted as Part of the BURDEN 2020 ProjectDeutsches Arzteblatt international · 2021Article
- The COVID-19 Disease Burden in Germany in 2020—Years of Life Lost to Death and Disease Over the Course of the Pandemic.Deutsches Arzteblatt international · 2021Article
- Changes in the Proportion of Deaths Attributable to Ill-defined Causes in Bahrain from 2000 to 2020.Saudi journal of medicine & medical sciencesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundThe cause of death statistics in Germany include a relatively high share (26% in 2017) of ill-defined deaths (IDD). To make use of the cause of death statistics for Burden of Disease calculations we redistribute those IDD to valid causes of death.
methodsThe process of proportional redistribution is described in detail. It makes use of the distribution of the valid ICD-codes in the cause of death data. We use examples of stroke, diabetes, and heart failure to illustrate how IDD are reallocated.
resultsThe largest increases in the number of deaths for both women and men were found for lower respiratory infections, diabetes mellitus, and stroke. The numbers of deaths for these causes more than doubled after redistribution.
conclusionThis is the first comprehensive redistribution of IDD using the German cause of death statistics. Performing a redistribution is necessary for burden of disease analyses, otherwise there would be an underreporting of certain causes of death or large numbers of deaths coded to residual or unspecific codes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.