Evidence map›Paper›PMID 31969361›Full record

ArticleBMJ open2020

How large should a cause of death be in order to be included in mortality trend analysis? Deriving a cut-off point from retrospective trend analyses in 21 European countries.

Marianna Mitratza, Jan W P F Kardaun, Anton E Kunst

Abstract readMulticenter Study
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Marianna MitratzaDepartment of Public Health, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands m.mitratza@amsterdamumc.nl.ORCID 0000-0002-1573-2015
Jan W P F KardaunDepartment of Public Health, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Anton E KunstDepartment of Public Health, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe International Classification of Diseases (ICD-10) distinguishes a large number of causes of death (CODs) that could each be studied individually when monitoring time-trends. We aimed to develop recommendations for using the size of CODs as a criterion for their inclusion in long-term trend analysis.

designRetrospective trend analysis.

setting21 European countries of the WHO Mortality Database.

participantsDeaths from CODs (3-position ICD-10 codes) with ≥5 average annual deaths in a 15-year period between 2000 and 2016. PRIMARY AND SECONDARY OUTCOME MEASURES: Fitting polynomial regression models, we examined for each COD in each country whether or not changes over time were statistically significant (with α=0.05) and we assessed correlates of this outcome. Applying receiver operating characteristicROC curve diagnostics, we derived COD size thresholds for selecting CODs for trends analysis.

resultsAcross all countries, 64.0% of CODs had significant long-term trends. The odds of having a significant trend increased by 18% for every 10% increase of COD size. The independent effect of country was negligible. As compared to circulatory system diseases, the probability of a significant trend was lower for neoplasms and digestive system diseases, and higher for infectious diseases, mental diseases and signs-and-symptoms. We derived a general threshold of around 30 (range: 28-33) annual deaths for inclusion of a COD in trend analysis. The relevant threshold for neoplasms was around 65 (range: 61-70) and for infectious diseases was 20 (range: 19-20).

conclusionsThe likelihood that long-term trends are detected with statistical significance is strongly related to COD size and varies between ICD-10 chapters, but has no independent relation to country. We recommend a general size criterion of 30 annual deaths to select CODs for long-term mortality-trends analysis in European countries.

Indexed as

ForecastingCause of DeathEuropeFemaleFollow-Up StudiesHumansMaleNeoplasmsRetrospective StudiesSex DistributionSurvival Ratecause of deathepidemiologyEuropemortalitysize criteriontrends

Identifiers

PMID31969361
PMCPMC7044923

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