QPPV.COM KNOWLEDGE ASSESSMENT

GVP Module IX: Evidence, Causality and Clinical Context

Test your understanding of the concepts covered by GVP Module IX: Evidence, Causality and Clinical Context.

Question 1 of 10Pass mark: 80%

Question 1 of 10 Which question best reflects the article's approach to alternative explanations?

Can any conceivable alternative cause be listed? Is an alternative explanation sufficiently credible to account for the observed pattern compared with the product-related hypothesis? Has the product already been associated with similar events? Does the alternative explanation have a lower statistical p-value?

Question 2 of 10 A disproportionality measure exceeds an internal alert threshold. What should the subsequent assessment do?

Describe the association as confirmed Investigate the clinical phenotype, reporting behaviour, indication, alternatives and other evidence Close the signal because statistical thresholds are screening tools only Convert the disproportionality value into an individual-patient causality category

Question 3 of 10 Which statement correctly distinguishes absence of evidence from evidence supporting absence?

Any study with a null result provides evidence that the association is absent A negative result is informative only when the study had suitable exposure, power and design to detect the effect Absence of evidence and evidence supporting absence are interchangeable Negative evidence should be excluded if case reports are supportive

Question 4 of 10 Which statement most accurately describes the role of biological plausibility?

A theoretically possible mechanism establishes causality in patients Mechanistic evidence is irrelevant unless supported by a statistically significant study A mechanism can strengthen a causal hypothesis when consistent with pharmacology and the clinical pattern, but it cannot substitute for empirical evidence Biological plausibility is more important than all clinical evidence

Question 5 of 10 Which statement best distinguishes individual-case causality assessment from signal-level assessment?

Individual cases assess causality, whereas signals assess only statistical disproportionality Individual cases are irrelevant once comparative epidemiological evidence is available Individual cases examine features such as chronology and alternatives, while signal assessment integrates cases with aggregate and non-case evidence Signal-level assessment should be based primarily on the proportion of cases classified as probable

Question 6 of 10 A subgroup analysis suggests an increased risk in patients with renal impairment, but the subgroup contains very few events. What is the most appropriate interpretation?

Any subgroup difference establishes a vulnerable-population risk The subgroup finding should be assessed for plausibility, baseline risk, exposure differences, selective reporting and statistical uncertainty The overall population result always overrides subgroup findings Subgroup analyses should not be performed in pharmacovigilance

Question 7 of 10 Which statement best reflects the article's position on benefit-risk assessment?

Any validated signal makes the benefit-risk balance unfavourable A causal association automatically requires withdrawal of the product The signal contributes to benefit-risk assessment, which must also consider seriousness, frequency, population, benefits, alternatives and risk minimisation Benefit-risk assessment is separate from all pharmacovigilance evidence

Question 8 of 10 What does it mean for evidence sources to be consistent in a signal assessment?

Every source must produce identical numerical estimates Only positive findings may be included The totality of findings can be explained coherently, even if individual sources differ in strength or direction All evidence sources must have the same study design

Question 9 of 10 Why is a compatible temporal relationship generally insufficient to establish causality?

Timing is relevant only for adverse events with a known dose relationship Other causes may produce events with the same timing, so chronology must be interpreted with clinical and other evidence A temporal relationship is useful only in epidemiological studies Compatible timing proves causality unless a negative rechallenge occurs

Question 10 of 10 Which record would best demonstrate an inspection-ready signal assessment?

A final status of 'closed—no action' with no supporting rationale A collection of reports and publications without an explanation of their relative evidential weight A linked record showing the safety question, evidence, limitations, alternatives, conclusion, uncertainty, decision and follow-up An individual case causality table used as the sole basis for the aggregate conclusion

GVP Module IX: Evidence, Causality and Clinical Context

Cookie Settings