ReviewCold Spring Harbor perspectives in medicine2020
Influenza in High-Risk Hosts-Lessons Learned from Animal Models.
Review in Cold Spring Harbor perspectives in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed, 16 citations in OpenAlex.
- Update on the Efficacy of Vaccination on Host Immunity to Influenza Virus Infection.International archives of allergy and immunology · 2026Review
- Teaching an old vector new tricks: the surprising versatility of AAV vaccines.Journal of virology · 2025Review
- Obese individuals exhibit distinct temporal gene expression dynamics in response to influenza vaccination.Microbiology spectrum · 2025Article
- Advances in protein subunit vaccines against H1N1/09 influenza.Frontiers in immunology · 2024Review
- Obesity dysregulates the pulmonary antiviral immune response.Nature communications · 2023Article
- Nonrespiratory sites of influenza-associated disease: mechanisms and experimental systems for continued study.The FEBS journal · 2022Review
- Influenza A virus undergoes compartmentalized replication in vivo dominated by stochastic bottlenecks.Nature communications · 2022Article
- The influenza virus RNA polymerase as an innate immune agonist and antagonist.Cellular and molecular life sciences : CMLS · 2021Review
- Serological Responses to Influenza Vaccination during Pregnancy.Microorganisms · 2021Review
- Review
- Review
- In Vivo Models to Study the Pathogenesis of Extra-Respiratory Complications of Influenza A Virus Infection.Viruses · 2021Review
- Immunization and Drug Metabolizing Enzymes: Focus on Hepatic Cytochrome P450 3A.Expert review of vaccines · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
Factoring significantly into the global burden of influenza disease are high-risk populations that suffer the bulk of infections. Classically, the very young, very old, and pregnant women have been identified as high-risk populations; however, recent research has uncovered several other conditions that contribute to severe infection. By using varied animal models, researchers have identified molecular mechanisms underpinning the increased likelihood for infection due to obesity and malnourishment, as well as insight into the role sex hormones play in antiviral immunity in males, in females, and across the life span. Additionally, novel comorbidity models have helped elucidate the role of chronic infectious and genetic diseases in influenza virus pathogenesis. Animal models play a vital role in understanding the contribution of host factors to influenza severity and immunity. An in-depth understanding of these host factors represents an important step in reducing the burden of influenza among the growing number of people living with one or more chronic medical conditions.
Indexed as
Identifiers
What OpenQuestion holds
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.