Estimating the Time to Benefit for Preventive Drugs with the Statistical Process Control Method: An Example with Alendronate
Background For physicians dealing with patients with a limited life expectancy, knowing the time to benefit (TTB) of preventive medication is essential to support treatment decisions. Objective The aim of this study was to investigate the usefulness of statistical process control (SPC) for determini...
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Veröffentlicht in: | Drugs & aging 2016-05, Vol.33 (5), p.347-353 |
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Sprache: | eng |
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Zusammenfassung: | Background
For physicians dealing with patients with a limited life expectancy, knowing the time to benefit (TTB) of preventive medication is essential to support treatment decisions.
Objective
The aim of this study was to investigate the usefulness of statistical process control (SPC) for determining the TTB in relation to fracture risk with alendronate versus placebo in postmenopausal women.
Methods
We performed a post hoc analysis of the Fracture Intervention Trial (FIT), a randomized, controlled trial that investigated the effect of alendronate versus placebo on fracture risk in postmenopausal women. We used SPC, a statistical method used for monitoring processes for quality control, to determine if and when the intervention group benefited significantly more than the control group. SPC discriminated between the normal variations over time in the numbers of fractures in both groups and the variations that were attributable to alendronate. The TTB was defined as the time point from which the cumulative difference in the number of clinical fractures remained greater than the upper control limit on the SPC chart.
Results
For the total group, the TTB was defined as 11 months. For patients aged ≥70 years, the TTB was 8 months [absolute risk reduction (ARR) = 1.4 %]; for patients aged |
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ISSN: | 1170-229X 1179-1969 |
DOI: | 10.1007/s40266-016-0344-7 |