Literature DB >> 27124573

Concordance of interim and final estimates of influenza vaccine effectiveness: a systematic review.

Vivian K Leung1, Benjamin J Cowling, Shuo Feng, Sheena G Sullivan.   

Abstract

The World Health Organization's Global Influenza Surveillance and Response System meets twice a year to generate a recommendation for the composition of the seasonal influenza vaccine. Interim vaccine effectiveness (VE) estimates provide a preliminary indication of influenza vaccine performance during the season and may be useful for decision making. We reviewed 17 pairs of studies reporting 33 pairs of interim and final estimates using the test-negative design to evaluate whether interim estimates can reliably predict final estimates. We examined features of the study design that may be correlated with interim estimates being substantially different from their final estimates and identified differences related to change in study period and concomitant changes in sample size, proportion vaccinated and proportion of cases. An absolute difference of no more than 10% between interim and final estimates was found for 18 of 33 reported pairs of estimates, including six of 12 pairs reporting VE against any influenza, six of 10 for influenza A(H1N1)pdm09, four of seven for influenza A(H3N2) and two of four for influenza B. While we identified inconsistencies in the methods, the similarities between interim and final estimates support the utility of generating and disseminating preliminary estimates of VE while virus circulation is ongoing.

Entities:  

Keywords:  influenza; influenza vaccines; systematic review; test negative design; vaccine effectiveness

Mesh:

Substances:

Year:  2016        PMID: 27124573     DOI: 10.2807/1560-7917.ES.2016.21.16.30202

Source DB:  PubMed          Journal:  Euro Surveill        ISSN: 1025-496X


  12 in total

1.  Sample size considerations for mid-season estimates from a large influenza vaccine effectiveness network in the United States.

Authors:  Jessie R Chung; Brendan Flannery; Sara S Kim; Manjusha Gaglani; Chandni Raiyani; Edward A Belongia; Huong Q McLean; Mary Patricia Nowalk; Richard K Zimmerman; Michael L Jackson; Lisa A Jackson; Emily T Martin; Arnold S Monto; Manish Patel
Journal:  Vaccine       Date:  2021-05-13       Impact factor: 4.169

2.  Low interim influenza vaccine effectiveness, Australia, 1 May to 24 September 2017.

Authors:  Sheena G Sullivan; Monique B Chilver; Kylie S Carville; Yi-Mo Deng; Kristina A Grant; Geoff Higgins; Naomi Komadina; Vivian Ky Leung; Cara A Minney-Smith; Don Teng; Thomas Tran; Nigel Stocks; James E Fielding
Journal:  Euro Surveill       Date:  2017-10

Review 3.  The impact of repeated vaccination on influenza vaccine effectiveness: a systematic review and meta-analysis.

Authors:  Lauren C Ramsay; Sarah A Buchan; Robert G Stirling; Benjamin J Cowling; Shuo Feng; Jeffrey C Kwong; Bryna F Warshawsky
Journal:  BMC Med       Date:  2017-08-21       Impact factor: 8.775

4.  Interim estimates of the effectiveness of the influenza vaccine against A(H3N2) influenza in adults in South Korea, 2016-2017 season.

Authors:  Ji Yun Noh; Sooyeon Lim; Joon Young Song; Won Suk Choi; Hye Won Jeong; Jung Yeon Heo; Jacob Lee; Yu Bin Seo; Jin-Soo Lee; Seong Heon Wie; Young Keun Kim; Kyung Hwa Park; Sook-In Jung; Shin Woo Kim; Sun Hee Lee; Han Sol Lee; Young Hoon Yoon; Hee Jin Cheong; Woo Joo Kim
Journal:  PLoS One       Date:  2017-05-25       Impact factor: 3.240

5.  Mid-season real-time estimates of seasonal influenza vaccine effectiveness in persons 65 years and older in register-based surveillance, Stockholm County, Sweden, and Finland, January 2017.

Authors:  Maria-Pia Hergens; Ulrike Baum; Mia Brytting; Niina Ikonen; Anu Haveri; Åsa Wiman; Hanna Nohynek; Åke Örtqvist
Journal:  Euro Surveill       Date:  2017-02-23

6.  Interim estimates of 2016/17 vaccine effectiveness against influenza A(H3N2), Canada, January 2017.

Authors:  Danuta M Skowronski; Catharine Chambers; Suzana Sabaiduc; James A Dickinson; Anne-Luise Winter; Gaston De Serres; Steven J Drews; Agatha Jassem; Jonathan B Gubbay; Hugues Charest; Robert Balshaw; Nathalie Bastien; Yan Li; Mel Krajden
Journal:  Euro Surveill       Date:  2017-02-09

7.  Estimating Influenza Vaccine Effectiveness With the Test-Negative Design Using Alternative Control Groups: A Systematic Review and Meta-Analysis.

Authors:  Shuo Feng; Benjamin J Cowling; Heath Kelly; Sheena G Sullivan
Journal:  Am J Epidemiol       Date:  2018-02-01       Impact factor: 4.897

8.  The impact of repeated vaccination on influenza vaccine effectiveness: a systematic review and meta-analysis.

Authors:  Lauren C Ramsay; Sarah A Buchan; Robert G Stirling; Benjamin J Cowling; Shuo Feng; Jeffrey C Kwong; Bryna F Warshawsky
Journal:  BMC Med       Date:  2019-01-10       Impact factor: 8.775

9.  Interim estimates of the effectiveness of influenza vaccination against influenza-associated hospitalization in children in Hong Kong, 2015-16.

Authors:  Benjamin J Cowling; Mike Y W Kwan; Joshua S C Wong; Shuo Feng; Chi-Wai Leung; Eunice L Y Chan; Kwok-Hung Chan; Tak-Keung Ng; Wing-Kin To; Malik J S Peiris; Susan S Chiu
Journal:  Influenza Other Respir Viruses       Date:  2016-10-14       Impact factor: 4.380

10.  Interim estimate of influenza vaccine effectiveness in hospitalised children, Hong Kong, 2017/18.

Authors:  Susan S Chiu; Mike Y W Kwan; Shuo Feng; Joshua S C Wong; Chi-Wai Leung; Eunice L Y Chan; J S Malik Peiris; Benjamin J Cowling
Journal:  Euro Surveill       Date:  2018-02
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