Jump to: Page Content, Site Navigation, Site Search,
You are seeing this message because your web browser does not support basic web standards. Find out more about why this message is appearing and what you can do to make your experience on this site better.
BMJ 2003;326:1456 (28 June), doi:10.1136/bmj.326.7404.1456-a
EDITORThe article by Lilford is a curious contribution to the debate about recruitment to randomised trials.1 While each sentiment seems, individually, to be reasonable, in composite they lead to the dangerous conclusion that patients should be denied the evidence that protects them against prejudice based medicine.
It is remarkable that a piece apparently arguing from the viewpoint of the Reverend Bayes omits the key feature of bayesian inferencethat prior beliefs are modified by data to create a posterior distribution on which inference or decisions may be based. Priors alone are choices based on prejudice. The respect that most patients have for their doctors tends to mean that such prejudice is that of the "expert," not the patient.
To advocate the precedence of patient preferences under a cloak of respect for their autonomy is particularly disingenuous in the case of screen detected prostate cancer. Patients, otherwise well, are placed by their expert advisers in an uninterpretable state of "risk" and then asked to make an informed choice where there is no good information on which to base it. They may be influenced by their attendants' priorssurgeons recommend surgery, while radiotherapists recommend radiotherapybut these are data-free preferences, and few patients are advised on the basis of current knowledge that conservative management may be a good option.2
There are two aspects to the Reverend Bayes's character. That which now has wide currency is his contribution as a probabilist. He was also, of course, a Presbyterian minister. By an odd inversion we now seem to be seeing the creation of a debased bayesian tradition in which naive reverence for his mathematical contribution is abused to obstruct the pursuit of the very data that allow his insights to be applied to public protection. It would be a tragedy if the obscurantism of bayesian terminology allowed promotion of a plausible, novel form of the "in my clinical opinion" mindset that the evidence based medicine movement has successfully displaced. Lilford's piece, under its bayesian gloss, embeds just those dangerous sentiments.
Stephen Frankel, professor of epidemiology and public health
stephen.frankel{at}bristol.ac.uk
Jonathan Sterne, reader in medical statistics, Shah Ebrahim, professor in epidemiology of ageing
Department of Social Medicine, University of Bristol, Bristol BS8 2PR
Israeli students are refusing to perform intimate examinations on anaesthetised women without their informed consent.