ArticleInternational health2025
The effect of addressing the top 10 global causes of death on life expectancy in 2019: a global and regional analysis.
Article in International health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Reading the Signature of Autophagy in the Ischemic and Infarcted Heart: A Systematic Review of Circulating Biomarkers.International journal of molecular sciences · 2026Pooled it
- Human bocavirus: As an emerging respiratory pathogen.World journal of virology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundThe life expectancy (LE) index reflects health changes in society, highlighting trends in health quality and quantity. This study focused on analysing the impact of the top 10 causes of death on the global increase in LE in 2019.
methodsData on the top 10 causes of death in 2019 were obtained from the Global Burden of Disease website and a period life table was used to assess how eliminating these causes would impact LE.
resultsAt the global level, eliminating deaths from ischaemic heart disease, stroke, chronic obstructive pulmonary disease, lower respiratory infections, neonatal conditions, lung cancers, Alzheimer's disease, diarrheal diseases, diabetes mellitus and kidney diseases resulted in an increase in LE at birth of 2.44, 1.64, 0.75, 0.80, 4.06, 0.48, 0.36, 0.52, 0.36 and 0.35 y, respectively.
conclusionsThe analysis reveals a gender gap in LE influenced by specific causes of death and regional differences. Therefore, public health policies should be customized for each area to target reductions in deaths that significantly improve LE.
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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.