Influenza vaccination for immunocompromised patients: systematic review and meta-analysis from a public health policy perspective

Immunocompromised patients are vulnerable to severe or complicated influenza infection. Vaccination is widely recommended for this group. This systematic review and meta-analysis assesses influenza vaccination for immunocompromised patients in terms of preventing influenza-like illness and laborator...

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Veröffentlicht in:PloS one 2011-12, Vol.6 (12), p.e29249
Hauptverfasser: Beck, Charles R, McKenzie, Bruce C, Hashim, Ahmed B, Harris, Rebecca C, Zanuzdana, Arina, Agboado, Gabriel, Orton, Elizabeth, Béchard-Evans, Laura, Morgan, Gemma, Stevenson, Charlotte, Weston, Rachel, Mukaigawara, Mitsuru, Enstone, Joanne, Augustine, Glenda, Butt, Mobasher, Kim, Sophie, Puleston, Richard, Dabke, Girija, Howard, Robert, O'Boyle, Julie, O'Brien, Mary, Ahyow, Lauren, Denness, Helene, Farmer, Siobhan, Figureroa, Jose, Fisher, Paul, Greaves, Felix, Haroon, Munib, Haroon, Sophie, Hird, Caroline, Isba, Rachel, Ishola, David A, Kerac, Marko, Parish, Vivienne, Roberts, Jonathan, Rosser, Julia, Theaker, Sarah, Wallace, Dean, Wigglesworth, Neil, Lingard, Liz, Vinogradova, Yana, Horiuchi, Hiroshi, Peñalver, Javier, Nguyen-Van-Tam, Jonathan S
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Sprache:eng
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Zusammenfassung:Immunocompromised patients are vulnerable to severe or complicated influenza infection. Vaccination is widely recommended for this group. This systematic review and meta-analysis assesses influenza vaccination for immunocompromised patients in terms of preventing influenza-like illness and laboratory confirmed influenza, serological response and adverse events. Electronic databases and grey literature were searched and records were screened against eligibility criteria. Data extraction and risk of bias assessments were performed in duplicate. Results were synthesised narratively and meta-analyses were conducted where feasible. Heterogeneity was assessed using I(2) and publication bias was assessed using Begg's funnel plot and Egger's regression test. Many of the 209 eligible studies included an unclear or high risk of bias. Meta-analyses showed a significant effect of preventing influenza-like illness (odds ratio [OR]=0.23; 95% confidence interval [CI]=0.16-0.34; p
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0029249