Literature DB >> 19995265

Evidence of bias in studies of influenza vaccine effectiveness in elderly patients.

Roger Baxter1, Janelle Lee, Bruce Fireman.   

Abstract

Although studies have shown influenza vaccines to be effective in preventing death in the elderly population, these findings may be the result of selection bias. We examined the relationship between vaccination, age, underlying morbidity, and probability of death in the upcoming year. Vaccination coverage varied in a curvilinear fashion with age, morbidity, and risk of death. Forgoing vaccination predicted death in those who had received vaccinations in the previous 5 years, but it predicted survival in patients who had never before received a vaccination. We conclude that bias is inherent in studies of influenza vaccination and death among elderly patients.

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Year:  2010        PMID: 19995265     DOI: 10.1086/649568

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


  26 in total

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2.  Estimating the Effect of Influenza Vaccination on Nursing Home Residents' Morbidity and Mortality.

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Review 4.  Influenza vaccine responses in older adults.

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5.  Observational studies and the difficult quest for causality: lessons from vaccine effectiveness and impact studies.

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Review 7.  Influenza vaccination for patients with chronic obstructive pulmonary disease: understanding immunogenicity, efficacy and effectiveness.

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8.  Hospitalization and skilled nursing care are predictors of influenza vaccination among patients on hemodialysis: evidence of confounding by frailty.

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9.  Influenza vaccine and cardiac protection: a study from a tertiary care center.

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Journal:  Hum Vaccin Immunother       Date:  2019-11-14       Impact factor: 3.452

10.  The potential effect of temporary immunity as a result of bias associated with healthy users and social determinants on observations of influenza vaccine effectiveness; could unmeasured confounding explain observed links between seasonal influenza vaccine and pandemic H1N1 infection?

Authors:  Natasha S Crowcroft; Laura C Rosella
Journal:  BMC Public Health       Date:  2012-06-20       Impact factor: 3.295

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