Evidence map›Paper›PMID 32868834›Full record

ArticleScientific reports2020

Modelling the linkage between influenza infection and cardiovascular events via thrombosis.

Zachary McCarthy, Shixin Xu, Ashrafur Rahman, Nicola Luigi Bragazzi, Vicente F Corrales-Medina, Jason Lee, Bruce T Seet, Dion Neame, Edward Thommes, Jane Heffernan and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Thrombosis in Critically Ill Influenza Patients: Incidence and Risk Factors.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
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

12 authors at 7 institutions in 3 countries.

Zachary McCarthyDepartment of Mathematics and Statistics, York University, Toronto, ON, Canada.
Shixin XuDepartment of Mathematics and Statistics, York University, Toronto, ON, Canada.
Ashrafur RahmanLaboratory for Industrial and Applied Mathematics, York University, Toronto, ON, Canada.
Nicola Luigi BragazziLaboratory for Industrial and Applied Mathematics, York University, Toronto, ON, Canada.
Vicente F Corrales-MedinaClinical Epidemiology Program, The Ottawa Hospital Research Institute, Ottawa, ON, Canada.
Jason LeeSanofi Pasteur, Toronto, ON, Canada.
Bruce T SeetSanofi Pasteur, Toronto, ON, Canada.
Dion NeameSanofi Pasteur, Toronto, ON, Canada.
Edward ThommesDepartment of Mathematics and Statistics, York University, Toronto, ON, Canada.
Jane HeffernanDepartment of Mathematics and Statistics, York University, Toronto, ON, Canada.
Ayman ChitSanofi Pasteur, Swiftwater, PA, USA.
Jianhong WuDepartment of Mathematics and Statistics, York University, Toronto, ON, Canada. wujh@yorku.ca.
Fields Institute for Research in Mathematical Sciences · CASanofi (Canada) · CAUniversity of Toronto · CAYork University · CADuke Kunshan University · CNOakland University · USOttawa Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a heavy burden associated with influenza including all-cause hospitalization as well as severe cardiovascular and cardiorespiratory events. Influenza associated cardiac events have been linked to multiple biological pathways in a human host. To study the contribution of influenza virus infection to cardiovascular thrombotic events, we develop a dynamic model which incorporates some key elements of the host immune response, inflammatory response, and blood coagulation. We formulate these biological systems and integrate them into a cohesive modelling framework to show how blood clotting may be connected to influenza virus infection. With blood clot formation inside an artery resulting from influenza virus infection as the primary outcome of this integrated model, we demonstrate how blood clot severity may depend on circulating prothrombin levels. We also utilize our model to leverage clinical data to inform the threshold level of the inflammatory cytokine TNFα which initiates tissue factor induction and subsequent blood clotting. Our model provides a tool to explore how individual biological components contribute to blood clotting events in the presence of influenza infection, to identify individuals at risk of clotting based on their circulating prothrombin levels, and to guide the development of future vaccines to optimally interact with the immune system.

Indexed as

AdultBlood CoagulationCardiovascular DiseasesHumansInfluenza, HumanModels, BiologicalModels, StatisticalProthrombinThrombosisTumor Necrosis Factor-alphaProthrombinTumor Necrosis Factor-alpha

Identifiers

PMID32868834
PMCPMC7458909
OpenAlexW3082544325

What OpenQuestion holds

Textmetadata
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.