ReviewFrontiers in cellular and infection microbiology2026
Local and systemic host responses to influenza and concurrent or sequential SARS-CoV-2 infection.
Review in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Influenza is an acute respiratory infectious disease caused by the influenza virus, which has been circulating in humans for over a century. In contrast, COVID-19, caused by the novel SARS-CoV-2, emerged recently in December 2019. Following nearly four years of pandemic, the acute phase of SARS-CoV-2 has transitioned towards an endemic state, suggesting a trend of long-term coexistence with humans. Concurrent or sequential coinfection with influenza and SARS-CoV-2 has been clinically observed to exacerbate pulmonary pathology and systemic inflammation in affected individuals. This review discusses the impact and elucidates the potential underlying mechanisms by which influenza and SARS-CoV-2 coinfection aggravates local lung injury and systemic host responses, aiming to inform improved prevention and clinical management strategies.
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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 Socratic graph.