How to evaluate potential non-specific effects of vaccines: the quest for randomized trials or time for triangulation?

Introduction: Emerging evidence suggests that vaccines, in addition to their disease-specific effects, have important non-specific effects (NSEs), which contribute to their overall effect on mortality and morbidity. Immunological studies have shown that NSEs are biologically plausible. Many advocate...

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Bibliographic Details
Main Authors: Christine Stabell Benn, Ane Bærent Fisker, Andreas Rieckmann, Aksel Karl Georg Jensen, Peter Aaby
Format: Article
Language:English
Published: Taylor & Francis Group 2018-05-01
Series:Expert Review of Vaccines
Subjects:
Online Access:http://dx.doi.org/10.1080/14760584.2018.1471987
Description
Summary:Introduction: Emerging evidence suggests that vaccines, in addition to their disease-specific effects, have important non-specific effects (NSEs), which contribute to their overall effect on mortality and morbidity. Immunological studies have shown that NSEs are biologically plausible. Many advocate that randomized controlled trials (RCTs) with overall mortality or morbidity as the outcome are the only way forward to confirm or refute NSEs. Areas covered: We discuss the limitations of using RCTs only as a tool to evaluate NSEs of vaccines. Such RCTs can be ethically problematic, they are time consuming and expensive. Furthermore, they only assess the NSEs in a given context, but it is inherent in the concept of NSEs that the NSEs of a given vaccine are modified by other immunomodulatory conditions. As an alternative, we propose that triangulation of RCTs and observational studies, merging multiple lines of evidence with different underlying bias structures, can build a strong argument for causality. We examine two examples related to measles vaccine and oral polio vaccine. Expert commentary: Using RCTs alone to evaluate NSEs of vaccines severely limits the possibilities for studying NSEs. Results from both RCTs and non-RCT studies should be triangulated to strengthen causal interpretation.
ISSN:1476-0584
1744-8395