Evidence map›Paper›PMID 33597834›Full record

ArticleEuropean journal of population = Revue europeenne de demographie2021

A Mixture-Function Mortality Model: Illustration of the Evolution of Premature Mortality.

Lucia Zanotto, Vladimir Canudas-Romo, Stefano Mazzuco

Abstract read
In one paragraph

Article in European journal of population = Revue europeenne de demographie, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Lucia ZanottoDepartment of Economics, Ca' Foscari University of Venice, Venice, Italy.ORCID 0000-0003-1908-7276
Vladimir Canudas-RomoSchool of Demography, Australian National University, Canberra, Australia.ORCID 0000-0001-6532-0089
Stefano MazzucoDepartment of Statistical Sciences, University of Padua, Padua, Italy.ORCID 0000-0002-1686-5477

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Premature mortality is often a neglected component of overall deaths, and the most difficult to identify. However, it is important to estimate its prevalence. Following Pearson's theory about mortality components, a definition of premature deaths and a parametric model to study its transformations are introduced. The model is a mixture of three distributions: a Half Normal for the first part of the death curve and two Skew Normals to fit the remaining pieces. One advantage of the model is the possibility of obtaining an explicit equation to compute life expectancy at birth and to break it down into mortality components. We estimated the mixture model for Sweden, France, East Germany and Czech Republic. In addition, to the well-known reduction in infant deaths, and compression and shifting trend of adult mortality, we were able to study the trend of the central part of the distribution of deaths in detail. In general, a right shift of the modal age at death for young adults is observed; in some cases, it is also accompanied by an increase in the number of deaths at these ages: in particular for France, in the last twenty years, premature mortality increases.

Indexed as

Life expectancyMixture distributionMortality modelPremature mortalitySkew Normal distribution

Identifiers

PMID33597834
PMCPMC7865056

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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.