Evidence map›Paper›PMID 38232060›Full record

ArticlePloS one2024

Convergence and divergence in mortality: A global study from 1990 to 2030.

David Atance, M Mercè Claramunt, Xavier Varea, Jose Manuel Aburto

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

6 citing papers in PubMed.

  1. [What young people are looking for?]Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina) · 2025
    Article
  2. Spatial Trends in Mortality Convergence: The Cases of France, Italy, and Spain, 1975-2019.European journal of population = Revue europeenne de demographie · 2025
    Article
  3. Article
  4. Review
  5. Article
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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.

David AtanceDepartamento de Economía y Dirección de Empresas, Universidad de Alcalá, Madrid, Spain.ORCID 0000-0001-5860-0584
M Mercè ClaramuntDepartamento de Matemática Económica, Financiera y Actuarial, Universitat de Barcelona, Barcelona, Spain.ORCID 0000-0002-5184-9106
Xavier VareaDepartamento de Matemática Económica, Financiera y Actuarial, Universitat de Barcelona, Barcelona, Spain.ORCID 0000-0002-3084-1957
Jose Manuel AburtoLondon School of Hygiene and Tropical Medicine, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An empirical question that has motivated demographers is whether there is convergence or divergence in mortality/longevity around the world. The epidemiological transition is the starting point for studying a global process of mortality convergence. This manuscript aims to provide an update on the concept of mortality convergence/divergence. We perform a comprehensive examination of nine different mortality indicators from a global perspective using clustering methods in the period 1990-2030. In addition, we include analyses of projections to provide insights into prospective trajectories of convergence clubs, a dimension unexplored in previous work. The results indicate that mortality convergence clubs of 194 countries by sex resemble the configuration of continents. These five clubs show a common steady upward trend in longevity indicators, accompanied by a progressive reduction in disparities between sexes and between groups of countries. Furthermore, this paper shows insights into the historical evolution of the convergence clubs in the period 1990-2020 and expands their scope to include projections of their expected future evolution in 2030.

Indexed as

Global HealthMortalityProspective Studies

Identifiers

PMID38232060
PMCPMC10793939

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.