Evidence map›Paper›PMID 22306191›Full record

ReviewEmerging infectious diseases2012

Pathogenic responses among young adults during the 1918 influenza pandemic.

G Dennis Shanks, John F Brundage

Abstract readHistorical ArticleReview
In one paragraph

Review in Emerging infectious diseases, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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  9. Article
  10. Article
  11. After the fire: Post-pandemic reflections.Journal of the Intensive Care Society · 2020
    Article
  12. Pandemics Throughout History.Frontiers in microbiology · 2020
    Review
  13. Article
  14. Article
  15. The Spanish Influenza Pandemic: a lesson from history 100 years after 1918.Journal of preventive medicine and hygiene · 2019
    Article
  16. The 'Influenza' Vaccine Used during the Samoan Pandemic of 1918.Tropical medicine and infectious disease · 2018
    Article
  17. Article
  18. Back to the Future: Lessons Learned From the 1918 Influenza Pandemic.Frontiers in cellular and infection microbiology · 2018
    Review
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

G Dennis ShanksAustralian Army Malaria Research Institute, Enoggera, Queensland, Australia. dennis.shanks@defence.gov.au
John F Brundage

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Of the unexplained characteristics of the 1918-19 influenza pandemic, the extreme mortality rate among young adults (W-shaped mortality curve) is the foremost. Lack of a coherent explanation of this and other epidemiologic and clinical manifestations of the pandemic contributes to uncertainty in preparing for future pandemics. Contemporaneous records suggest that immunopathologic responses were a critical determinant of the high mortality rate among young adults and other high-risk subgroups. Historical records and findings from laboratory animal studies suggest that persons who were exposed to influenza once before 1918 (e.g., A/H3Nx 1890 pandemic strain) were likely to have dysregulated, pathologic cellular immune responses to infections with the A/H1N1 1918 pandemic strain. The immunopathologic effects transiently increased susceptibility to ultimately lethal secondary bacterial pneumonia. The extreme mortality rate associated with the 1918-19 pandemic is unlikely to recur naturally. However, T-cell-mediated immunopathologic effects should be carefully monitored in developing and using universal influenza vaccines.

Indexed as

Influenza A Virus, H1N1 SubtypeAnimalsHistory, 19th CenturyHistory, 20th CenturyHumansInfluenza, HumanModels, BiologicalPandemicsPneumonia, Bacterial

Identifiers

PMID22306191
PMCPMC3310443

What OpenQuestion holds

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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.