Literature DB >> 18573295

Confounding in evaluating the effectiveness of influenza vaccine.

Mitsuru Mori1, Asae Oura, Hirofumi Ohnishi, Masakazu Washio.   

Abstract

Confounding is a kind of bias which occurs in a research. Confounding is less frequent in randomized controlled trials (RCT) for evaluation of influenza vaccines. However, there are obstacles or difficulties in conducting RCT for evaluation of influenza vaccines, particularly, in the elderly people. Therefore, a retrospective or prospective cohort study has been primarily performed to evaluate effectiveness of influenza vaccine in elderly people. Confounding by indication or other confounding exist in most observational studies. Accordingly, at the stage of designing or analyzing a study, confounding should be controlled with a restriction, matching, stratified or multivariate analysis technique.

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Year:  2008        PMID: 18573295     DOI: 10.1016/j.vaccine.2008.06.040

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  7 in total

1.  Pandemic and seasonal vaccine coverage and effectiveness during the 2009-2010 pandemic influenza in an Italian adult population.

Authors:  Simona Costanzo; Francesco Gianfagna; Mariarosaria Persichillo; Francesca De Lucia; Francesca D Lucia; Angelita Verna; Modjenar Djidingar; Sara Magnacca; Francesca Bracone; Marco Olivieri; Maria Benedetta Donati; Giovanni de Gaetano; Licia Iacoviello
Journal:  Int J Public Health       Date:  2012-02-28       Impact factor: 3.380

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

Authors:  Aurora Pop-Vicas; Momotazur Rahman; Pedro L Gozalo; Stefan Gravenstein; Vincent Mor
Journal:  J Am Geriatr Soc       Date:  2015-08-17       Impact factor: 5.562

3.  The effect of sex on responses to influenza vaccines.

Authors:  Lucy Denly
Journal:  Hum Vaccin Immunother       Date:  2020-11-12       Impact factor: 3.452

4.  Immunogenicity and Efficacy of A/H1N1pdm Vaccine Among Subjects With Severe Motor and Intellectual Disability in the 2010/11 Influenza Season.

Authors:  Megumi Hara; Tomoyuki Hanaoka; Kazuhiro Maeda; Tetsuo Kase; Satoko Ohfuji; Wakaba Fukushima; Yoshio Hirota
Journal:  J Epidemiol       Date:  2016-01-16       Impact factor: 3.211

5.  The effects of age on clinical characteristics, hospitalization and mortality of patients with influenza-related illness at a tertiary care centre in Malaysia.

Authors:  Pui Li Wong; Hoe Leong Sii; Chun Keat P'ng; Soon Sean Ee; Xiang Yong Oong; Kim Tien Ng; Nik Sherina Hanafi; Kok Keng Tee; Maw Pin Tan
Journal:  Influenza Other Respir Viruses       Date:  2020-02-05       Impact factor: 4.380

6.  Impact of industry sponsorship on the quality of systematic reviews of vaccines: a cross-sectional analysis of studies published from 2016 to 2019.

Authors:  Dawid Pieper; Irma Hellbrecht; Linlu Zhao; Clemens Baur; Georgia Pick; Sarah Schneider; Thomas Harder; Kelsey Young; Andrea C Tricco; Ella Westhaver; Matthew Tunis
Journal:  Syst Rev       Date:  2022-08-22

7.  Estimating the influenza vaccine effectiveness against medically attended influenza in clinical settings: a hospital-based case-control study with a rapid diagnostic test in Japan.

Authors:  Motoi Suzuki; Hiroyuki Yoshimine; Yoshitaka Harada; Naho Tsuchiya; Ikumi Shimada; Koya Ariyoshi; Kenichiro Inoue
Journal:  PLoS One       Date:  2013-01-11       Impact factor: 3.240

  7 in total

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