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Does Proof of Causality Ever Exist in Pharmacovigilance?

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  • Pharmacoepidemiology
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Summary

Identifying the adverse effects of drugs, thus transforming adverse events into adverse drug reactions, is a useful and necessary but complicated task. Objective proof of a causal relationship between a drug and a specific event is quite exceptional. In most cases, this relationship remains subjective and is no more than inner conviction.

Several means are at our disposal to achieve causal assessment: spontaneous reporting, clinical trials, cohorts with and without controls, and case-control studies, with each having advantages and limitations. The search for causality in pharmacovigilance is a necessary scientific goal, but a high degree of suspicion may be all that is necessary to withdraw a drug from the market if it is suspected of causing serious adverse effects.

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References

  • Arme P. Analyse d’incidence en pharmacovigilance: application à la notification spontanée, Arme P. Editions, Bordeaux, 1991

    Google Scholar 

  • Auriche M. Approche bayésienne de l’imputabilité des phénomènes indésirables aux médicaments. Thérapie 40: 301–306, 1985

    PubMed  CAS  Google Scholar 

  • Begaud B, Evreux JCL, Jouglard JC, Lagier G. Imputabilité des effets inattendus ou toxiques des médicaments: actualisation de la méthode utilisée en France. Thérapie 40: 111–114, 1985

    PubMed  CAS  Google Scholar 

  • Böttiger LE, Westerholm B. Drug-induced blood dyscrasias in Sweden. British Medical Journal 3: 339, 1973

    Article  PubMed  Google Scholar 

  • Bryant CD, Norman GR. Expressions of probability: words and numbers. New England Journal of Medicine 302: 411, 1980

    PubMed  CAS  Google Scholar 

  • Committee of Principal Investigators. WHO co-operative trial on primary prevention of ischaemic heart-disease using clofibrate to lower serum cholesterol: mortality follow-up. Lancet 2: 279–385, 1980

    Google Scholar 

  • Feinstein AR. In Clinical epidemiology, WB Saunders Co., Philadelphia, 1985

    Google Scholar 

  • Hutchinson TA, Leventhal JM, Kramer MS, Kirch FE, Lipman AG, et al. An algorithm for the operational assessment of adverse drug reactions: II. Demonstration of reproducibility and validity. Journal of the American Medical Association 242: 633–638, 1979

    Article  PubMed  CAS  Google Scholar 

  • Karen FE, Lasagna L. Towards the operational identification of adverse drug reactions. Clinical Pharmacology and Therapeutics 21: 247–254, 1977

    Google Scholar 

  • Kenney RM. Between never and always. New England Journal of Medicine 305: 1097–1098, 1981

    PubMed  CAS  Google Scholar 

  • Kramer MS. Clinical epidemiology and biostatistics. Springer-Verlag, Berlin, 1988

    Book  Google Scholar 

  • Kramer MS, Leventhal JM, Hutchinson TA, Feinstein AR. An algorithm for the operational assessment of adverse drug reactions: I. Background, description and instructions for use. Journal of the American Medical Association 242: 623–632, 1979

    Article  PubMed  CAS  Google Scholar 

  • Lane DA, Kramer MS, Hutchinson TA, Joner JK, Naranjo C. The causality assessment of adverse drug reactions using a Bayesian approach. Pharmaceutical Medicine 2: 265–283, 1987

    Google Scholar 

  • Lewis JA. Postmarketing surveillance: how many patients?. Trends in Pharmacological Science 2: 93–94, 1981

    Article  Google Scholar 

  • Loupi E, Ponchon AC, Ventre JJ, Descotes J, Evreux JCL. Le rechallenge est-il nécessaire à une imputabilité maximale? Valeur comparée dans sept méthodes d’imputabilité. Thérapie 39: 461–466, 1984

    PubMed  CAS  Google Scholar 

  • Marion MH, Simon P. Signification des adverbes utilisés pour indiquer la fréquence des effets secondaires des médicaments. Thérapie 39: 47–63, 1984

    Google Scholar 

  • Nakao MA, Axelrod A. Numbers are better than words. American Journal of Medicine 74: 1061–1065, 1983

    Article  PubMed  CAS  Google Scholar 

  • Pere JC, Godin MH, Begaud B, Haramburu H, Albin H. Sensitivity and specificy of imputability criteria: study and comparison of these indices for seven ADRs’ assessment procedures. Thérapie 40: 307–312, 1985

    PubMed  CAS  Google Scholar 

  • Rossi AC, Knapp DE. Discovery of new ADR; a review of the FDA spontaneous reporting system. Journal of the American Medical Association 252: 1030–1033, 1984

    Article  PubMed  CAS  Google Scholar 

  • Sackett DL, Gent M. Controversy in counting and attributing events in clinical trials. New England Journal of Medicine 301: 1410–1412, 1979

    Article  PubMed  CAS  Google Scholar 

  • Sarkies N. What do we mean by ‘usually’? Lancet 1: 1305, 1980

    Article  PubMed  CAS  Google Scholar 

  • Schwartz D, Lellouch J. Explanation and pragmatic attitudes in therapeutic trials. Journal of Chronic Diseases 20: 637–48, 1967

    Article  PubMed  CAS  Google Scholar 

  • Selvidge JE. Assigning probabilities to rare events, Thesis, Harvard University, DBA, Business Administration, 1972

  • Stephens MDB. The detection of new adverse drug reactions, 2nd ed., Macmillan, London, 1989

    Google Scholar 

  • Toogood JH. What do we mean by ‘usually’? Lancet 1: 1094, 1980

    Article  PubMed  CAS  Google Scholar 

  • Venning GR. Identification of adverse reactions to new drugs: 1. What have been the important adverse reactions since thalidomide? British Medical Journal 286: 199–202, 1983a

    Article  PubMed  CAS  Google Scholar 

  • Venning GR. Identification of adverse reactions to new drugs: 2. How were 18 important adverse reactions discovered and with what delays. British Medica] Journal 286: 289–292, 365–368, 1983b

    Article  CAS  Google Scholar 

  • Venning GR. Identification of adverse reactions to new drugs: 3. Alerting processes and early warning systems. British Medical Journal 286: 450–460, 1983c

    Google Scholar 

  • Venning GR. Identification of adverse reactions to new drugs: 4. Verification of suspected adverse reactions. British Medical Journal 286: 544–547, 1983d

    Article  PubMed  CAS  Google Scholar 

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Auriche, M., Loupi, E. Does Proof of Causality Ever Exist in Pharmacovigilance?. Drug-Safety 9, 230–235 (1993). https://doi.org/10.2165/00002018-199309030-00008

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