Evidence map›Paper›PMID 26216421›Full record

ReviewInfection and immunity2015

Influenza and Bacterial Superinfection: Illuminating the Immunologic Mechanisms of Disease.

Agnieszka Rynda-Apple, Keven M Robinson, John F Alcorn

Abstract readReview
In one paragraph

Review in Infection and immunity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 175 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
175citing papers in PubMed, 1 pooled it
–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

175 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  12. (Inter)feron the Reaper: New Insights on an Old Cytokine in Secondary Bacterial Pneumonia.American journal of respiratory cell and molecular biology · 2025
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115 more citing papers are in PubMed but not listed here.

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.

Agnieszka Rynda-AppleDepartment of Microbiology and Immunology, Montana State University, Bozeman, Montana, USA.
Keven M RobinsonDepartment of Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
John F AlcornDepartment of Pediatrics, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania, USA john.alcorn@chp.edu.

Funding

Influenza A Inhibits TH17 Host Defense Against Bacterial PneumoniaR01HL107380 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ALCORN, JOHN F · 2012 to 2024
$5.4M
Engineered virus-like nanoparticles targeting immunity needed for pan flu vaccineR01AI104905 · NIAID · TRUSTEES OF INDIANA UNIVERSITY · PI DOUGLAS, TREVOR, JUTILA, MARK A · 2013 to 2017
$2.3M
NHLBI NIH HHS R01 HL107380NIAID NIH HHS R01 AI104905
6 · The paper itself

Abstract

Seasonal influenza virus infection presents a major strain on the health care system. Influenza virus infection has pandemic potential, which was repeatedly observed during the last century. Severe disease may occur in the young, in the elderly, in those with preexisting lung disease, and in previously healthy individuals. A common cause of severe influenza pathogenesis is superinfection with bacterial pathogens, namely, Staphylococcus aureus and Streptococcus pneumoniae. A great deal of recent research has focused on the immune pathways involved in influenza-induced susceptibility to secondary bacterial pneumonia. Both innate and adaptive antibacterial host defenses are impaired in the context of preceding influenza virus infection. The goal of this minireview is to highlight these findings and synthesize these data into a shared central theme of pathogenesis.

Indexed as

AnimalsHumansInfluenza A virusInfluenza, HumanStaphylococcal InfectionsStaphylococcus aureusStreptococcus pneumoniaeSuperinfection

Identifiers

PMID26216421
PMCPMC4567631

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.