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Statistical Methods in Medical Research 4ed

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614 Cl<strong>in</strong>ical trials<br />

Adm<strong>in</strong>istrative monitor<strong>in</strong>g will normally make no use of the outcome data<br />

for patients <strong>in</strong> the trial. In contrast, data monitor<strong>in</strong>g is concerned with the<br />

evidence emerg<strong>in</strong>g from the accumulat<strong>in</strong>g data on the safety and efficacy of<br />

the treatments under trial.<br />

Safety will be an important issue <strong>in</strong> almost every trial. Most medical treatments<br />

and procedures produce m<strong>in</strong>or side-effects, which will often have been<br />

anticipated from the results of earlier studies and may not cause serious concern.<br />

Serious adverse events (SAEs), especially when potentially life-threaten<strong>in</strong>g, must<br />

be carefully monitored (and perhaps reported to a central agency). A high<br />

<strong>in</strong>cidence of unexpected SAEs, not clearly balanced by advantages <strong>in</strong> patient<br />

survival, may lead to early term<strong>in</strong>ation of the trial, or at least the modification or<br />

abandonment of the suspect treatment.<br />

Differences <strong>in</strong> efficacy may arise dur<strong>in</strong>g the course of the trial and give rise to<br />

ethical concerns. The <strong>in</strong>vestigators will probably have started the trial from a<br />

position of ethical equipoise, regard<strong>in</strong>g all the rival treatments as potentially<br />

acceptable. If the emerg<strong>in</strong>g evidence suggests that one treatment is <strong>in</strong>ferior to<br />

another, the <strong>in</strong>vestigators may feel impelled to stop the trial or at least drop the<br />

offend<strong>in</strong>g treatment.<br />

The mechanisms for conduct<strong>in</strong>g data monitor<strong>in</strong>g are discussed <strong>in</strong> the follow<strong>in</strong>g<br />

subsections.<br />

The Data Monitor<strong>in</strong>g Committee<br />

The responsibility for early term<strong>in</strong>ation or changes <strong>in</strong> protocol rests with the<br />

<strong>in</strong>vestigators (who, <strong>in</strong> a multicentre or other large trial, will normally form a<br />

Steer<strong>in</strong>g Committee). However, <strong>in</strong> a double-masked trial they will be unaware of<br />

the treatment assignments and unable to monitor the results directly. It is usual<br />

for the task to be delegated to an <strong>in</strong>dependent group, known as the Data [and<br />

Safety] Monitor<strong>in</strong>g Committee (D[S]MC) or some similar title. The DMC will<br />

typically comprise one or more statisticians, some medical specialists <strong>in</strong> the areas<br />

under <strong>in</strong>vestigation and perhaps some lay members. It will not normally <strong>in</strong>clude<br />

<strong>in</strong>vestigators or commercial sponsors, although there is some variation of op<strong>in</strong>ion<br />

on this po<strong>in</strong>t (Harr<strong>in</strong>gton et al., 1994; Me<strong>in</strong>ert, 1998).<br />

The DMC should meet at approximately regular <strong>in</strong>tervals, and receive<br />

unmasked data summaries presented by the trial statisticians. It will normally<br />

report to the Steer<strong>in</strong>g Committee, avoid<strong>in</strong>g explicit descriptions of the data but<br />

present<strong>in</strong>g a firm recommendation for or aga<strong>in</strong>st early term<strong>in</strong>ation or protocol<br />

modification.<br />

In assess<strong>in</strong>g the evidence, the DMC will need to bear <strong>in</strong> m<strong>in</strong>d the difficulties<br />

aris<strong>in</strong>g from the repeated analysis of accumulat<strong>in</strong>g data. These are discussed <strong>in</strong><br />

general terms <strong>in</strong> the next subsection, which is followed by a more explicit<br />

description of methods of analysis.

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