2010
DOI: 10.1001/jama.2010.310
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Stopping Randomized Trials Early for Benefit and Estimation of Treatment Effects<subtitle>Systematic Review and Meta-regression Analysis</subtitle>

Abstract: Truncated RCTs were associated with greater effect sizes than RCTs not stopped early. This difference was independent of the presence of statistical stopping rules and was greatest in smaller studies.

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Cited by 560 publications
(364 citation statements)
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“…Therefore, the results presented here are exploratory and should be interpreted with caution. However, the results from the pooled studies are unlikely to overestimate a treatment effect as occurred in other trials that were terminated early [3,14].…”
Section: Discussionmentioning
confidence: 78%
“…Therefore, the results presented here are exploratory and should be interpreted with caution. However, the results from the pooled studies are unlikely to overestimate a treatment effect as occurred in other trials that were terminated early [3,14].…”
Section: Discussionmentioning
confidence: 78%
“…[38][39][40] The magnitude of bias is inversely related to the number of events. 38 A recent study of 91 trials 38 suggests that the correction factor multiplier would be close to 1 at 1231 events as in the ACCOMPLISH trial and would likely equal 1 when at 3837 events as in the ALLHAT CTDN-doxazosin trial. Regardless of the above controversy, early terminations were not involved in the ACE inhibitor network, for which CTDN was superior to HCTZ.…”
Section: Discussionmentioning
confidence: 99%
“…Bassler et al observe that the risk of overestimating treatment benefit for truncated RCTs is increased in studies with fewer than 500 events. On the contrary, the methodological quality and the presence of defined statistical stopping rules fail to predict the magnitude of the bias of RCTs stopped early for benefit [5].…”
mentioning
confidence: 97%
“…Recent studies observe that truncated RCTs have different biases leading to implausible large treatment effects and misleading estimates of the benefit [5]. Use of well defined statistical procedures may obviate the problem of multiple repeated interim analyses at the same unadjusted level of significance.…”
mentioning
confidence: 99%