Evidence map›Paper›PMID 30715371›Full record

ArticleThe Journal of infectious diseases2019

Predicting the Next Influenza Pandemics.

Gabriele Neumann, Yoshihiro Kawaoka

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Vaccines and cardiovascular outcomes: lessons learned from influenza epidemics.European heart journal supplements : journal of the European Society of Cardiology · 2023
    Article
  10. Article
  11. Pseudotyped Viruses for Influenza.Advances in experimental medicine and biology · 2023
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. 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

2 authors at 1 institution in 1 country.

Gabriele NeumannInfluenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison.
Yoshihiro KawaokaInfluenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison.
University of Wisconsin–Madison · US

Funding

NIAID NIH HHS HHSN272201400008C
6 · The paper itself

Abstract

Worldwide outbreaks of influenza (pandemics) are caused by influenza A viruses to which persons lack protective immune responses. Currently, we are unable to predict which influenza virus strains may cause a pandemic. In this article, we summarize some of the information that will be needed to better assess the pandemic potential of influenza viruses, and we discuss our current gaps in knowledge.

Indexed as

AnimalsDisease Models, AnimalEpidemiological MonitoringGenome, ViralHemagglutinin Glycoproteins, Influenza VirusHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanInfluenza in BirdsNeuraminidaseOligosaccharidesPandemicsPoultryRisk AssessmentRNA, ViralSwineHemagglutinin Glycoproteins, Influenza Virusinfluenza virus polymerase basic protein 1NeuraminidaseOligosaccharidesRNA, ViralsialooligosaccharidesViral ProteinsInfluenzapandemicpredictionsurveillancetransmission

Identifiers

PMID30715371
PMCPMC6452319
OpenAlexW2911905876

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.