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Knowledge Assessment: Causality Assessment in Pharmacovigilance

Test your understanding of the concepts covered by Causality Assessment in Pharmacovigilance.

Question 1 of 10Pass mark: 80%

Question 1 of 10 Which statement best distinguishes individual case causality assessment from aggregate causality assessment?

Individual case assessment considers one patient's clinical circumstances, whereas aggregate assessment evaluates patterns and cumulative evidence across cases and studies Aggregate assessment is simply the average of individual case scores Individual cases are causal only when aggregate evidence is already conclusive Aggregate assessment does not require consideration of confounding

Question 2 of 10 How does counterfactual thinking help assess an individual adverse event?

It asks what would probably have happened if the patient had not received the medicinal product It assumes that every event after exposure would not have occurred without treatment It compares only the patient's event with the product label It replaces the need to assess temporality and alternative explanations

Question 3 of 10 Following a regulatory safety communication, reports of liver injury increase sharply. Which explanation should be considered particularly carefully before concluding that the incidence of liver injury increased?

Positive rechallenge Notoriety or stimulated-reporting bias A genetically determined necessary cause A confirmed dose-response relationship

Question 4 of 10 Which combination would generally strengthen a causal hypothesis more than any single element considered alone?

A single report, no temporal relationship and several strong alternative explanations Consistent temporality, biological plausibility, reproducibility and supportive epidemiological evidence A statistically significant correlation without clinical information A high number of reports from one stimulated-reporting period only

Question 5 of 10 Which action best reflects scientifically sound causality assessment when new evidence contradicts an earlier safety conclusion?

Retain the original conclusion permanently because regulatory assessments cannot change Ignore the contradictory evidence if the event is serious Re-evaluate the cumulative evidence and strengthen, weaken or revise the conclusion as justified Classify every contradictory study as irrelevant without methodological review

Question 6 of 10 Under Rothman's causal pie model, the medicinal product is most appropriately understood as:

Always the complete sufficient cause of the adverse event A possible component cause that may combine with genetic, disease, environmental or treatment-related factors A necessary cause that must be present in every case of the event A factor that has no causal relevance unless it acts alone

Question 7 of 10 Why is causality in pharmacovigilance generally described as probabilistic rather than deterministic?

Medicinal products produce identical outcomes in all exposed patients Adverse reactions usually occur only when exposure is absent Exposure changes the probability of an event, while patient and environmental factors influence whether it occurs Probabilistic causation means that clinical information is not needed

Question 8 of 10 What does a positive dechallenge contribute to an individual case causality assessment?

It shows that the event resolved or improved after withdrawal, supporting but not proving causality It proves that the event could not have been caused by the underlying disease It establishes causality even when the event has a variable natural course It demonstrates that the medicine is a necessary cause in every patient

Question 9 of 10 Once a risk is well established and incorporated into product information, the principal scientific focus should generally shift toward:

Determining whether any patient has ever experienced the event Characterising susceptibility, risk factors, preventability, management and effectiveness of risk minimisation Ignoring further reports because causality is settled Replacing all epidemiological evaluation with individual case scores

Question 10 of 10 Which statement best distinguishes correlation from causation in pharmacovigilance?

Correlation demonstrates that changing exposure will change event probability Correlation describes variables changing together, whereas causation implies that the medicinal product contributes to the event Correlation can only be identified in randomised clinical trials Causation is established whenever a statistically significant correlation is found

Knowledge Assessment: Causality Assessment in Pharmacovigilance

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