Evidence map›Paper›PMID 26034777›Full record

ArticleOpen forum infectious diseases2015

Statin treatment and mortality: propensity score-matched analyses of 2007-2008 and 2009-2010 laboratory-confirmed influenza hospitalizations.

Matthew R Laidler, Ann Thomas, Joan Baumbach, Pam Daily Kirley, James Meek, Deborah Aragon, Craig Morin, Patricia A Ryan, William Schaffner, Shelley M Zansky and 1 more

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Evaluating the Impact of Statin Use on Influenza Vaccine Effectiveness and Influenza Infection in Older Adults.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  7. Review
  8. Article
  9. Review
  10. Observational
  11. Perspective Adjunctive Therapies for COVID-19: Beyond Antiviral Therapy.International journal of medical sciences · 2021
    Review
  12. Potential role of statins in COVID-19.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020
    Review
  13. Review
  14. Statins and outcomes of hospitalized patients with laboratory-confirmed 2017-2018 influenza.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2019
    Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. 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 9 institutions in 1 country.

Matthew R LaidlerOregon Public Health Division , Oregon Health Authority , Portland.
Ann ThomasOregon Public Health Division , Oregon Health Authority , Portland.
Joan BaumbachNew Mexico Department of Health, Santa Fe.
Pam Daily KirleyCalifornia Emerging Infections Program, Oakland.
James MeekConnecticut Emerging Infections Program , Yale School of Public Health , New Haven, Connecticut.
Deborah AragonColorado Department of Public Health and Environment, Denver.
Craig MorinMinnesota Department of Health, St. Paul.
Patricia A RyanMaryland Department of Health and Mental Hygiene, Baltimore.
William SchaffnerVanderbilt University School of Medicine, Nashville, Tennessee.
Shelley M ZanskyEmerging Infections Program New York State Department of Health, Albany.
Sandra S ChavesInfluenza Division , Centers for Disease Control and Prevention , Atlanta, Georgia.
Oregon Health Authority · USCenters for Disease Control and Prevention · USColorado Department of Public Health and Environment · USIbis Reproductive Health · USMaryland Department of Health · USMinnesota Department of Health · USNew Mexico Department of Health · USNew York State Department of Health · USVanderbilt University · US

Funding

NCEZID CDC HHS U50 CK000197
6 · The paper itself

Abstract

Background.  Annual influenza epidemics are responsible for substantial morbidity and mortality. The use of immunomodulatory agents such as statins to target host inflammatory responses in influenza virus infection has been suggested as an adjunct treatment, especially during pandemics, when antiviral quantities are limited or vaccine production can be delayed. Methods.  We used population-based, influenza hospitalization surveillance data, propensity score-matched analysis, and Cox regression to determine whether there was an association between mortality (within 30 days of a positive influenza test) and statin treatment among hospitalized cohorts from 2 influenza seasons (October 1, 2007 to April 30, 2008 and September 1, 2009 to April 31, 2010). Results.  Hazard ratios for death within the 30-day follow-up period were 0.41 (95% confidence interval [CI], .25-.68) for a matched sample from the 2007-2008 season and 0.77 (95% CI, .43-1.36) for a matched sample from the 2009 pandemic. Conclusions.  The analysis suggests a protective effect against death from influenza among patients hospitalized in 2007-2008 but not during the pandemic. Sensitivity analysis indicates the findings for 2007-2008 may be influenced by unmeasured confounders. This analysis does not support using statins as an adjunct treatment for preventing death among persons hospitalized for influenza.

Indexed as

immunomodulatory agentsinfluenzainfluenza mortalitypandemicpandemic H1N1statins

Identifiers

PMID26034777
PMCPMC4438907
OpenAlexW2088465157

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.