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MAGICAL MEDICINE: HOW TO MAKE AN ILLNESS ... - Invest in ME

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272<br />

Known biases <strong>in</strong> Random Controlled Trials may not have been avoided <strong>in</strong> the PACE Trial<br />

The PACE Trial Identifier claims at section 1.1 that the trial is a random controlled trial (RCT).<br />

The RCT is the recognised way of reduc<strong>in</strong>g bias, but Jadad and Enk<strong>in</strong>’s classic treatise on the known biases<br />

that may occur even <strong>in</strong> an RCT is essential read<strong>in</strong>g for anyone consider<strong>in</strong>g the PACE Trial (Randomized<br />

Controlled Trials. Alejandro Jadad and Murray Enk<strong>in</strong>. Oxford: Blackwell Publish<strong>in</strong>g, 2007; 1 st published <strong>in</strong><br />

1998). Jadad currently advises the WHO as a member of its Strategic Advisory Group of Experts and Enk<strong>in</strong><br />

is Professor Emeritus, Cl<strong>in</strong>ical Epidemiology and Biostatistics, McMaster University, Toronto.<br />

The second edition challenges over‐reliance on the RCT and <strong>in</strong>cludes a chapter on the ethics of RCTs.<br />

The follow<strong>in</strong>g quotations from the second edition may be relevant when consider<strong>in</strong>g the PACE Trial:<br />

“Randomization, if done properly, can keep study groups as similar as possible….Random allocation does not, however,<br />

protect RCTs aga<strong>in</strong>st other types of bias (and) important research studies…have confirmed that RCTs are vulnerable to<br />

many types of bias throughout their entire life span.<br />

“Biases <strong>in</strong> cl<strong>in</strong>ical trials most often lead to an exaggeration <strong>in</strong> the magnitude or importance of the effects of the new<br />

<strong>in</strong>terventions.<br />

“Selection bias can occur if some potentially eligible <strong>in</strong>dividuals are selectively excluded from the study.<br />

“There are many ways <strong>in</strong> which randomisation can be subverted by <strong>in</strong>vestigators.<br />

“Perhaps one of the least recognised forms of bias <strong>in</strong> an RCT is hidden <strong>in</strong> the choice of the question that the trial <strong>in</strong>tends<br />

to answer (which) may have profound effects on its external validity, or generalisability. This bias can take many<br />

forms.<br />

“Hidden agenda bias occurs when a trial is mounted, not to answer a question, but <strong>in</strong> order to demonstrate<br />

a pre‐required answer….Closely related to this is the self‐fulfill<strong>in</strong>g prophecy bias, <strong>in</strong> which the very<br />

carry<strong>in</strong>g out of the trial ensures the desired result.<br />

“Closely related to this is the fund<strong>in</strong>g availability bias where studies tend to concentrate on questions that<br />

are more readily fundable, often for a vested or commercial <strong>in</strong>terest.<br />

“Regulation bias: This is sometimes referred to as the Bureaucracy bias. It occurs when (<strong>in</strong>stitutional review boards)<br />

allow or even encourage studies that may not be scientifically or socially valid…..Complicated ‘<strong>in</strong>formed consent’<br />

regulations may block the participation of many otherwise eligible subjects and hence bias the results.<br />

“The wrong research design can produce mislead<strong>in</strong>g answers.<br />

“Population choice bias: “The sample population studied can have a major effect on the generalisability of an<br />

RCT. If the sample is overly restrictive (gender bias; age bias; special circumstances bias; recruitment bias),<br />

the results may not be generalisable to people who do not belong to the groups.<br />

“Severity of illness bias is an important subgroup of the sample choice bias. Patients with a mild form of<br />

an illness may not respond <strong>in</strong> the same way as those with a more severe form.<br />

“Comparison choice (or control group) bias: If an <strong>in</strong>tervention is compared to a poorly chosen control<br />

group, it can erroneously appear to be more effective than it really is. An obvious way to make an <strong>in</strong>tervention<br />

appear to be more effective than it really is would be to choose an <strong>in</strong>effective comparison group.

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