An astonishing volume and diversity of evidence is available for many hypotheses in the biomedical and social sciences. Some of this evidence—usually from randomized controlled trials (RCTs)—is amalgamated by meta-analysis. Despite the ongoing debate regarding whether or not RCTs are the ‘gold-standard’ of evidence, it is usually meta-analysis which is considered the best source of evidence: meta-analysis is thought by many to be the platinum standard of evidence. However, I argue that meta-analysis falls far short of that standard. Different meta-analyses (...) of the same evidence can reach contradictory conclusions. Meta-analysis fails to provide objective grounds for intersubjective assessments of hypotheses because numerous decisions must be made when performing a meta-analysis which allow wide latitude for subjective idiosyncrasies to influence its outcome. I end by suggesting that an older tradition of evidence in medicine—the plurality of reasoning strategies appealed to by the epidemiologist Sir Bradford Hill—is a superior strategy for assessing a large volume and diversity of evidence. (shrink)

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In this eye-opening look at the doctor-patient decision-making process, physician and law professor Jay Katz examines the time-honored belief in the virtue of silent care and patient compliance. Historically, the doctor-patient relationship has been based on a one-way trust -- despite recent judicial attempts to give patients a greater voice through the doctrine of informed consent. Katz criticizes doctors for encouraging patients to relinquish their autonomy, and demonstrates the detrimental effect their silence has on good patient care. Seeing a growing (...) need in this age of medical science and sophisticated technology for more honest and complete communication between physician and patients, he advocates a new, informed dialogue that respects the rights and needs of both sides. In a new foreword to this edition of The Silent World of Doctor and Patient , Alexander Morgan Capron outlines the changes in medical ethics practice that have occurred since the book was first published in 1984, paying particular attention to the hotly debated issues of physician-assisted suicide and informed consent in managed care. (shrink)

The precautionary principle is a useful strategy for decision-making when physicians and patients lack evidence relating to the potential outcomes associated with various choices. According to a version of the principle defended here, one should take reasonable measures to avoid threats that are serious and plausible. The reasonableness of a response to a threat depends on several factors, including benefit vs. harm, realism, proportionality, and consistency. Since a concept of reasonableness plays an essential role in applying the precautionary principle, this (...) principle gives physicians and patients a decision-making strategy that encourages the careful weighing and balancing of different values that one finds in humanistic approaches to clinical reasoning. Properly understood, the principle presents a worthwhile alternative to approaches to clinical reasoning that apply expected utility theory to decision problems. (shrink)

With the growing focus on prevention in medicine, studies of how to describe risk have become increasing important. Recently, some researchers have argued against giving patients “comparative risk information,” such as data about whether their baseline risk of developing a particular disease is above or below average. The concern is that giving patients this information will interfere with their consideration of more relevant data, such as the specific chance of getting the disease (the “personal risk”), the risk reduction the treatment (...) provides, and any possible side effects. I explore this view and the theories of rationality that ground it, and I argue instead that comparative risk information can play a positive role in decision-making. The criticism of disclosing this sort of information to patients, I conclude, rests on a mistakenly narrow account of the goals of prevention and the nature of rational choice in medicine. (shrink)

The evidence from randomized controlled trials (RCTs) is widely regarded as supplying the ‘gold standard’ in medicine—we may sometimes have to settle for other forms of evidence, but this is always epistemically second-best. But how well justified is the epistemic claim about the superiority of RCTs? This paper adds to my earlier (predominantly negative) analyses of the claims produced in favour of the idea that randomization plays a uniquely privileged epistemic role, by closely inspecting three related arguments from leading contributors (...) to the burgeoning field of probabilistic causality—Papineau, Cartwright and Pearl. It concludes that none of these further arguments supplies any practical reason for thinking of randomization as having unique epistemic power. IntroductionWhy the issue is of great practical importance—the ECMO casePapineau on the ‘virtues of randomization’Cartwright on causality and the ‘ideal’ randomized experimentPearl on randomization, nets and causesConclusion. (shrink)

Evidence-Based Medicine is a relatively new movement that seeks to put clinical medicine on a firmer scientific footing. I take it as uncontroversial that medical practice should be based on best evidence—the interesting questions concern the details. This paper tries to move towards a coherent and unified account of best evidence in medicine, by exploring in particular the EBM position on RCTs.

Evidence-Based Medicine is a relatively new movement that seeks to put clinical med- icine on a firmer scientific footing. I take it as uncontroversial that medical practice should be based on best evidence-the interesting questions concern the details. This paper tries to move towards a coherent and unified account of best evidence in medicine, by exploring in particular the EBM position on RCTs (randomized controlled trials).

Medical screening is justified on the strength of the assumption that the earlier disease is detected, the better it is for the patient. On examination, however, the assumption turns out to be severely flawed, and inadequate anyway, since it is not only the patient with whom we should be concerned, but healthy people as well. Instead of making assumptions about the ill, we should prove a test's overall benefit to the individual taking it before we recommend it.