Evidence map›Paper›PMID 36509336›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2023

Identifying age- and sex-specific COVID-19 mortality trends over time in six countries.

Catalina Torres, Jenny García, France Meslé, Magali Barbieri, Florian Bonnet, Carlo Giovanni Camarda, Emmanuelle Cambois, Arianna Caporali, Étienne Couppié, Svitlana Poniakina and 1 more

Abstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  5. Observational
  6. Facing stress and inflammation: From the cell to the planet.World journal of experimental medicine · 2024
    Review
  7. Article
  8. Pathogenic mechanisms of cardiovascular damage in COVID-19.Molecular medicine (Cambridge, Mass.) · 2024
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
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

11 authors.

Catalina TorresInstitut national d'études démographiques (INED), Campus Condorcet, Aubervilliers, France; Eco-anthropologie (EA), Muséum national d'Histoire naturelle, CNRS, Université Paris Cité, Paris, France. Electronic address: catalina.torres@ined.fr.
Jenny GarcíaInstitut national d'études démographiques (INED), Campus Condorcet, Aubervilliers, France.
France MesléInstitut national d'études démographiques (INED), Campus Condorcet, Aubervilliers, France.
Magali BarbieriInstitut national d'études démographiques (INED), Campus Condorcet, Aubervilliers, France; University of California, Berkeley, United States.
Florian BonnetInstitut national d'études démographiques (INED), Campus Condorcet, Aubervilliers, France.
Carlo Giovanni CamardaInstitut national d'études démographiques (INED), Campus Condorcet, Aubervilliers, France.
Emmanuelle CamboisInstitut national d'études démographiques (INED), Campus Condorcet, Aubervilliers, France.
Arianna CaporaliInstitut national d'études démographiques (INED), Campus Condorcet, Aubervilliers, France.
Étienne CouppiéInstitut national d'études démographiques (INED), Campus Condorcet, Aubervilliers, France.
Svitlana PoniakinaInstitut national d'études démographiques (INED), Campus Condorcet, Aubervilliers, France.
Jean-Marie RobineMMDN, Univ Montpellier, EPHE, INSERM, Montpellier, France; PSL Research University, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe COVID-19 pandemic is characterized by successive waves that each developed differently over time and through space. We aim to provide an in-depth analysis of the evolution of COVID-19 mortality during 2020 and 2021 in a selection of countries.

methodsWe focus on five European countries and the United States. Using standardized and age-specific mortality rates, we address variations in COVID-19 mortality within and between countries, and demographic characteristics and seasonality patterns.

resultsOur results highlight periods of acceleration and deceleration in the pace of COVID-19 mortality, with substantial differences across countries. Periods of stabilization were identified during summer (especially in 2020) among the European countries analyzed but not in the United States. The latter stands out as the study population with the highest COVID-19 mortality at young ages. In general, COVID-19 mortality is highest at old ages, particularly during winter. Compared with women, men have higher COVID-19 mortality rates at most ages and in most seasons.

conclusionThere is seasonality in COVID-19 mortality for both sexes at all ages, characterized by higher rates during winter. In 2021, the highest COVID-19 mortality rates continued to be observed at ages 75+, despite vaccinations having targeted those ages specifically.

Indexed as

COVID-19AgedEuropeFemaleHumansMaleMortalityPandemicsSeasonsUnited StatesCOVID-19 mortalityCross-country comparisonsEpidemic wavesSeasonal mortality

Identifiers

PMID36509336
PMCPMC9733967

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.