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Causality assessment of adverse events following immunization: the problem of multifactorial pathology version 1; peer review: 1 approved, 2 approved with reservations, 1 not approved
Causality assessment of adverse events following immunization: the problem of multifactorial pathology version 1; peer review: 1 approved, 2 approved with reservations, 1 not approved
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Causality assessment of adverse events following immunization: the problem of multifactorial pathology version 1; peer review: 1 approved, 2 approved with reservations, 1 not approved
Causality assessment of adverse events following immunization: the problem of multifactorial pathology version 1; peer review: 1 approved, 2 approved with reservations, 1 not approved

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Causality assessment of adverse events following immunization: the problem of multifactorial pathology version 1; peer review: 1 approved, 2 approved with reservations, 1 not approved
Causality assessment of adverse events following immunization: the problem of multifactorial pathology version 1; peer review: 1 approved, 2 approved with reservations, 1 not approved
Journal Article

Causality assessment of adverse events following immunization: the problem of multifactorial pathology version 1; peer review: 1 approved, 2 approved with reservations, 1 not approved

2020
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Overview
The analysis of Adverse Events Following Immunization (AEFI) is important in a balanced epidemiological evaluation of vaccines and in the issues related to national vaccine injury compensation programs. If manufacturing defects or vaccine storage and delivering errors are excluded, the majority of adverse reactions to vaccines occur as excessive or biased inflammatory and immune responses. These unwanted phenomena, occasionally severe, are associated with many different endogenous and exogenous factors, which often interact in complex ways. The confirmation or denial of the causal link between an AEFI and vaccination is determined pursuant to WHO guidelines, which propose a four-step analysis and algorithmic diagramming. The evaluation process from the onset considers all possible \"other causes\" that can explain the AEFI and thus exclude the role of the vaccine. Subsequently, even if there was biological plausibility and temporal compatibility for a causal association between the vaccine and the AEFI, the guidelines ask to look for any possible evidence that the vaccine could not have caused that event. Such an algorithmic method presents some concerns that are discussed here, in the light of the multifactorial nature of the inflammatory and immune pathologies induced by vaccines, including emerging knowledge of genetic susceptibility to adverse effects. It is proposed that the causality assessment could exclude a consistent association of the adverse event with the vaccine only when the presumed \"other cause\" is independent of an interaction with the vaccine. Furthermore, the scientific literature should be viewed not as an exclusion criterion but as a comprehensive analysis of all the evidence for or against the role of the vaccine in causing an adverse reaction. These issues are discussed in relation to the laws that, in some countries, regulate the mandatory vaccinations and the compensation for those who have suffered serious adverse effects.
Publisher
F1000 Research Ltd

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