Evidence map›Paper›PMID 36425868›Full record

ArticleEClinicalMedicine2023

Global, regional and national estimates of influenza-attributable ischemic heart disease mortality.

Sandra S Chaves, Joshua Nealon, Katrin G Burkart, Daniel Modin, Tor Biering-Sørensen, Justin R Ortiz, Victor M Vilchis-Tella, Lindsey E Wallace, Gregory Roth, Cedric Mahe and 1 more

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.0field-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

21 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Validation of Lung [Molecular imaging and biology · 2025
    Article
  8. Review
  9. Does influenza vaccination contribute to the prevention of cardiovascular events? An umbrella review.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2025
    Article
  10. First Among Equals: The Case for High-quality Clinical Data in Influenza Vaccines.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review
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

11 authors at 4 institutions in 4 countries.

Sandra S ChavesModelling, Epidemiology and Data Science Department, Sanofi Vaccine, Lyon, France.
Joshua NealonModelling, Epidemiology and Data Science Department, Sanofi Vaccine, Lyon, France.
Katrin G BurkartInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Daniel ModinDepartment of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.
Tor Biering-SørensenDepartment of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.
Justin R OrtizCenter for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA.
Victor M Vilchis-TellaInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Lindsey E WallaceInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Gregory RothDivision of Cardiology, Department of Medicine, University of Washington, Seattle, WA, USA.
Cedric MaheModelling, Epidemiology and Data Science Department, Sanofi Vaccine, Lyon, France.
Michael BrauerInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
University of Washington · USSanofi (France) · FRUniversity of Copenhagen · DKUniversity of Maryland, Baltimore · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Influenza virus infection is associated with incident ischemic heart disease (IHD) events. Here, we estimate the global, regional, and national IHD mortality burden attributable to influenza. Methods: We used vital registration data from deaths in adults ≥50 years (13.2 million IHD deaths as underlying cause) to assess the relationship between influenza activity and IHD mortality in a non-linear meta-regression framework from 2010 to 2019. This derived relationship was then used to estimate the global influenza attributable IHD mortality. We estimated the population attributable fraction (PAF) of influenza for IHD deaths based on the relative risk associated with a given level of weekly influenza test positivity rate and multiplied PAFs by IHD mortality from the Global Burden of Disease study. Findings: Influenza activity was associated with increased risk of IHD mortality across all countries analyzed. The mean PAF of influenza for IHD mortality was 3.9% (95% uncertainty interval [UI] 2.5-5.3%), ranging from <1% to 10%, depending on country and year. Globally, 299,858 IHD deaths (95% UI 191,216-406,809) in adults ≥50 years could be attributed to influenza, with the highest rates per 100,000 population in the Central Europe, Eastern Europe and Central Asia Region (32.3; 95% UI 20.6-43.8), and in the North Africa and Middle East Region (26.7; 95% UI 17-36.2). Interpretation: Influenza may contribute substantially to the burden of IHD. Our results suggest that if there were no influenza, an average of 4% of IHD deaths globally would not occur. Funding: Collaborative study funded by Sanofi Vaccines.

Indexed as

CardiovascularGlobal disease burdenInfluenzaIschemic heart diseaseMortality

Identifiers

PMID36425868
PMCPMC9678904
OpenAlexW4309241826

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.