Evidence map›Paper›PMID 34446043›Full record

ArticlePopulation health metrics2021

Method for reconstructing mortality by educational groups.

László Németh, Domantas Jasilionis, Henrik Brønnum-Hansen, Dmitri A Jdanov

Abstract read
In one paragraph

Article in Population health metrics, 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

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

4 authors.

László NémethMax Planck Institute for Demographic Research, Konrad-Zuse-Straße 1., 18057, Rostock, Germany. nemeth@demogr.mpg.de.ORCID 0000-0002-8845-2540
Domantas JasilionisMax Planck Institute for Demographic Research, Konrad-Zuse-Straße 1., 18057, Rostock, Germany.
Henrik Brønnum-HansenDepartment of Public Health, University of Copenhagen, Øster Farimagsgade 5, postboks 2099, 1014, København K, Denmark.
Dmitri A JdanovMax Planck Institute for Demographic Research, Konrad-Zuse-Straße 1., 18057, Rostock, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe lack of classification by educational attainment in death and population exposure data at older ages is an important constraint for studying changes and patterns of mortality disparities by education in Denmark and Sweden. The missing educational distribution of population also restricts analyses aiming at estimating contributions of compositional change to the improvements in national longevity. This study proposes a transparent approach to solve the two methodological issues allowing to obtain robust education-specific mortality estimates and population weights.

methodsUsing nonparametric approach, we redistribute the unknown cases and extrapolate the mortality curves of these sub-populations with the help of population-level data on an aggregate level from the Human Mortality Database.

resultsWe present reconstructed and harmonized education-specific abridged and complete life tables for Sweden and Denmark covering 5-year-long periods from 1991-1995 to 2011-2015. The newly estimated life tables are in good agreement with the national life tables and show plausible age- and education-specific patterns. The observed changes in life expectancy by education suggest about the widening longevity gap between the highest and lowest educated for males and females in both countries.

conclusionsThe proposed simple and transparent method can be applied in similar country-specific cases showing large proportions of missing education or other socio-economic characteristics at older ages.

Indexed as

Life ExpectancyLongevityAgedEducational StatusFemaleHealth ServicesHumansLife TablesMaleMiddle AgedMortalityEducational differencesLife expectancyOld-age mortality

Identifiers

PMID34446043
PMCPMC8393442

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LicenceCC BY
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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.