Evidence map›Paper›PMID 23234604›Full record

ArticleBMC medicine2012

The age distribution of mortality due to influenza: pandemic and peri-pandemic.

Tom Reichert, Gerardo Chowell, Jonathan A McCullers

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
0.2field-weighted citation impact, top 39% of its field
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

22 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Association of viral loads of influenza A (H3N2) with age and care setting on presentation-a prospective study during the 2022-2023 influenza season in Spain.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. The 1968 Influenza Pandemic and COVID-19 Outcomes.medRxiv : the preprint server for health sciences · 2022
    Article
  8. Article
  9. Review
  10. Does death from Covid-19 arise from a multi-step process?European journal of epidemiology · 2021
    Article
  11. Article
  12. Increased frequency of travel in the presence of cross-immunity may act to decrease the chance of a global pandemic.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Severe mortality impact of the 1957 influenza pandemic in Chile.Influenza and other respiratory viruses · 2017
    Article
  17. Article
  18. Review
  19. Article
  20. Article
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

3 authors at 3 institutions in 1 country.

Tom ReichertEntropy Research Institute, 345 S, Great Road, Lincoln, 01773, Massachusetts, USA. treichert@entropyresearch.org
Gerardo Chowell
Jonathan A McCullers
Arizona State University · USPureTemp (United States) · USSt. Jude Children's Research Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPandemic influenza is said to 'shift mortality' to younger age groups; but also to spare a subpopulation of the elderly population. Does one of these effects dominate? Might this have important ramifications?

methodsWe estimated age-specific excess mortality rates for all-years for which data were available in the 20th century for Australia, Canada, France, Japan, the UK, and the USA for people older than 44 years of age. We modeled variation with age, and standardized estimates to allow direct comparison across age groups and countries. Attack rate data for four pandemics were assembled.

resultsFor nearly all seasons, an exponential model characterized mortality data extremely well. For seasons of emergence and a variable number of seasons following, however, a subpopulation above a threshold age invariably enjoyed reduced mortality. 'Immune escape', a stepwise increase in mortality among the oldest elderly, was observed a number of seasons after both the A(H2N2) and A(H3N2) pandemics. The number of seasons from emergence to escape varied by country. For the latter pandemic, mortality rates in four countries increased for younger age groups but only in the season following that of emergence. Adaptation to both emergent viruses was apparent as a progressive decrease in mortality rates, which, with two exceptions, was seen only in younger age groups. Pandemic attack rate variation with age was estimated to be similar across four pandemics with very different mortality impact.

conclusionsIn all influenza pandemics of the 20th century, emergent viruses resembled those that had circulated previously within the lifespan of then-living people. Such individuals were relatively immune to the emergent strain, but this immunity waned with mutation of the emergent virus. An immune subpopulation complicates and may invalidate vaccine trials. Pandemic influenza does not 'shift' mortality to younger age groups; rather, the mortality level is reset by the virulence of the emerging virus and is moderated by immunity of past experience. In this study, we found that after immune escape, older age groups showed no further mortality reduction, despite their being the principal target of conventional influenza vaccines. Vaccines incorporating variants of pandemic viruses seem to provide little benefit to those previously immune. If attack rates truly are similar across pandemics, it must be the case that immunity to the pandemic virus does not prevent infection, but only mitigates the consequences.

Indexed as

PandemicsAdolescentAdultAgedAged, 80 and overAge DistributionChildChild, PreschoolDeveloped CountriesFemaleHumansInfantInfluenza, HumanMaleMiddle AgedYoung Adult

Identifiers

PMID23234604
PMCPMC3554498
OpenAlexW2120799952

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.