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Uncertainty in Clinical Research

Published online by Cambridge University Press:  28 April 2021

Extract

“It is a fact of life that human beings find it difficult to maintain a consistent, self-conscious appreciation of the extent to which uncertainty accompanies them on their daily rounds and to integrate that uncertainty with whatever certainties inform their conduct. Physicians are not exempt from this human proclivity.”

—Jay Katz

Type
Autonomy and Risk-Taking
Copyright
Copyright © American Society of Law, Medicine and Ethics 1988

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References

Katz, J., The Silent World of Doctor and Patient (New York: Free Press, 1984), 165–66.Google Scholar
Levine, R.J., Ethics and Regulation of Clinical Research, 2d ed. (Baltimore: Urban & Schwarzenberg, 1986), 187ff.Google Scholar
Although this is the typical form of expression of the null hypothesis, it would be more accurate to say “therapy A = therapy B in the accomplishment of objective O in population P,” where objective O is the endpoint under examination (e.g., lowering of blood pressure) and population P is a subset of those patients with disease D (e.g., essential hypertension) who have the necessary attributes (inclusion criteria and lack of exclusion criteria) to be eligible for participation in the RCT.Google Scholar
Levine, R.J., supra note 2, at 188–89.Google Scholar
Fried, C., Medical Experimentation: Personal Integrity and Social Policy (New York: American Elsevier Company, 1974), 51 ff.Google Scholar
Shaw, L.W. and Chalmers, T.C., “Ethics in Cooperative Trials”, Annals of the New York Academy of Sciences, 169 (1970): 487–95.Google Scholar
Chalmers, T.C. Block, J.B. and Lee, S., “Controlled Studies in Clinical Cancer Research”, New England Journal of Medicine, 287 (1972): 7578.CrossRefGoogle Scholar
Levine, R.J., supra note 2, at 187–88.Google Scholar
Cato, A.E. and Cook, L., “Clinical Research”, in Matoren, G.M., ed., The Clinical Research Process in the Pharmaceutical Industry (New York: Marcel Dekker, Inc., 1984), 217–38.Google Scholar
Levine, R.J., supra note 2, at 202–07.Google Scholar
Marquis, D. and Stephens, R. Siris, E.S. and Kemeny, M.M. and Levine, R.J.. “The Doctor's Unproven Beliefs and the Subject's Informed Choice,” IRB: A Review of Human Subjects Research 10, 2 (May/June 1988): 35; Vanderpool, H.Y. and Weiss, G.B., “False Data and Last Hopes: Enrolling Ineligible Patients in Clinical Trials”, Hastings Center Report, 17, 2, (April 1987): 16–19.CrossRefGoogle Scholar
Shaw, L.W. and Chalmers, T.C., supra note 6.Google Scholar
Friedman, L. and Demets, D., “The Data Monitoring Committee: How It Operates and Why”, IRB: A Review of Human Subjects Research 3, 4, (April 1981): 68.Google Scholar
Ethics Advisory Board, Department of Health and Human Services, “The Request of the National Institutes of Health for a Limited Exemption from the Freedom of Information Act,” Report Submitted to the Secretary, DHHS, May 21, 1980.Google Scholar
Freedman, B., “Equipoise and the Ethics of Clinical Research”, New England Journal of Medicine, 317 (1987): 141145.Google Scholar
Katz, J., supra note 1, at 189.Google Scholar
Chalmers, T.C., “The Ethics of Randomization as a Decision Making Technique and the Problem of Informed Consent”, in USDHEW Report of the 14th Annual Conference of Cardiovascular Training Grant Program Directors (Bethesda, MD: National Heart Institute, 1967). As cited by C. Fried, supra note 5.Google Scholar
Levine, R.J., supra note 2, at 194 ff.Google Scholar
Chalmers, T.C., “The Clinical Trial”, Milbank Memorial Fund Quarterly, 59 (1981): 324339.Google Scholar
Taylor, K.M. Margolese, R.G. and Soskolne, C.L., “Physicians' Reasons for Not Entering Eligible Patients in a Randomized Clinical Trial of Surgery for Breast Cancer”, New England Journal of Medicine, 310 (1984): 1363–67.Google Scholar
A full discussion of prerandomization designs is beside the point of this article; such a discussion may be found in Levine, R.J., supra note 2, at 194–97.Google Scholar
Ellenberg, S.S., “Randomization Designs in Comparative Clinical Trials”, New England Journal of Medicine 310 (1984): 1404–08.Google Scholar
Actually, most consent forms for placebo-controlled RCTs which I have seen do not use the expression, “it is not known.” Many of them provide information based upon which prospective subjects could make either of two seemingly inconsistent inferences: 1) The consent form usually refers to preliminary evidence that the active drug is effective and labels the placebo as “an inert substance.” In presenting the risks of placebo, it may also refer to the perils of withholding active therapy. From such information the prospective subject could reasonably infer that the investigator already believes that the active drug is more likely than not to prove superior to placebo. 2) Institutional Review Boards (IRBs) generally constrain investigators from making clear statements that the investigational drug is likely to be effective, reasoning that if this were already known, it would invalidate the null hypothesis used to justify the RCT. Following this reasoning, grounded in the concept of theoretical equipoise, it is considered unethical to tell subjects that a new drug is likely to be effective until the RCT demonstrates that it is. IRBs generally require that subjects be informed that “the purpose of this study is to determine whether the drug is effective.” Since in order to do this it will be compared with placebo, the subject could infer that “it is not known whether the new drug is better or worse than placebo.”Google Scholar
Levine, R.J., “The Use of Placebos in Randomized Clinical Trials”, IRB: A Review of Human Subjects Research, 7, 2 (March/April 1985): 14.Google Scholar
For further discussion of such justification, see Levine, R.J., supra note 2, at 202–06.Google Scholar
Schafer, A., “The Ethics of the Randomized Clinical Trial”, New England Journal of Medicine, 307 (1982): 719–24.Google Scholar
Marquis, D., “Leaving Therapy to Chance”, Hastings Center Report, 13, 4 (August 1983): 4047.CrossRefGoogle Scholar
Meier, P., “Terminating a Trial—the Ethical Problem”, Clinical Pharmacology & Therapeutics, 25 (1979): 633–40.Google Scholar
Freedman, B., supra note 15.Google Scholar
Levine, R.J., supra note 2, at 202ff.Google Scholar
Fischl, M.et al, “The Efficacy of Azidothymidine (AZT) in the Treatment of Patients with AIDS and AIDS-Related Complex”, New England Journal of Medicine, 317 (1987): 185–91.Google Scholar
Melton, G.B.et al, “Community Consultation in Socially Sensitive Research: Lessons from the Clinical Trials of Treatments for AIDS”, American Psychologist (in press).Google Scholar
For further elaboration of this point including the specifics of what ought to be disclosed and explained, see Levine, R.J., supra note 2, at 200–01.Google Scholar
Committee on Policy for DNR Decisions, Yale-New Haven Hospital, “Report on Do Not Resuscitate Decisions,” Connecticut Medicine 47 (1983): 477–83.Google Scholar
Id.; Levine, R.J. and Nolan, K.A., “Do Not Resuscitate Decisions: A Policy,” Connecticut Medicine, 47 (1983): 511–12.Google Scholar
Katz, J., supra note 1, at xvi.Google Scholar
I have discussed the leading criticisms of RCTs in Levine, R.J., supra note 2, at 207210.Google Scholar
Feinstein, A.R., “An Additional Basic Science for Clinical Medicine: II. The Limitations of Randomized Trials”, Annals of Internal Medicine, 99 (1983): 544–50.Google Scholar
Feinstein, A.R., “An Additional Basic Science for Clinical Medicine: IV. The Development of Clinimetrics”, Annals of Internal Medicine, 99 (1983): 843–48.Google Scholar
Diamond, G.A. and Forrester, J.S., “Clinical Trials and Statistical Verdicts: Probable Grounds for Appeal”, Annals of Internal Medicine, 98 (1983): 385–94.Google Scholar
A full discussion of why some statisticians prefer Bayesian methods is beyond the scope of this discussion. For a very lucid exposition of the problem in which the relevant concepts are made accessible to the relatively unsophisticated reader, see Berger, J.O. and Berry, D.A., “Statistical Analysis and the Illusion of Objectivity”, American Scientist, 76 (1988): 159–65.Google Scholar