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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 determi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4837200/ https://www.ncbi.nlm.nih.gov/pubmed/26884390 http://dx.doi.org/10.1007/s40266-016-0344-7 |
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author | van de Glind, Esther M. M. Willems, Hanna C. Eslami, Saeid Abu-Hanna, Ameen Lems, Willem F. Hooft, Lotty de Rooij, Sophia E. Black, Dennis M. van Munster, Barbara C. |
author_facet | van de Glind, Esther M. M. Willems, Hanna C. Eslami, Saeid Abu-Hanna, Ameen Lems, Willem F. Hooft, Lotty de Rooij, Sophia E. Black, Dennis M. van Munster, Barbara C. |
author_sort | van de Glind, Esther M. M. |
collection | PubMed |
description | 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 <70 years, it was 19 months (ARR = 0.7 %). CONCLUSION: SPC is a clear and understandable graphical method to determine the TTB. Its main advantage is that there is no need to define a prespecified time point, as is the case in traditional survival analyses. Prescribing alendronate to patients who are aged ≥70 years is useful because the TTB shows that they will benefit after 8 months. Investigators should report the TTB to simplify clinical decision making. |
format | Online Article Text |
id | pubmed-4837200 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-48372002016-05-04 Estimating the Time to Benefit for Preventive Drugs with the Statistical Process Control Method: An Example with Alendronate van de Glind, Esther M. M. Willems, Hanna C. Eslami, Saeid Abu-Hanna, Ameen Lems, Willem F. Hooft, Lotty de Rooij, Sophia E. Black, Dennis M. van Munster, Barbara C. Drugs Aging Original Research Article 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 <70 years, it was 19 months (ARR = 0.7 %). CONCLUSION: SPC is a clear and understandable graphical method to determine the TTB. Its main advantage is that there is no need to define a prespecified time point, as is the case in traditional survival analyses. Prescribing alendronate to patients who are aged ≥70 years is useful because the TTB shows that they will benefit after 8 months. Investigators should report the TTB to simplify clinical decision making. Springer International Publishing 2016-02-16 2016 /pmc/articles/PMC4837200/ /pubmed/26884390 http://dx.doi.org/10.1007/s40266-016-0344-7 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Research Article van de Glind, Esther M. M. Willems, Hanna C. Eslami, Saeid Abu-Hanna, Ameen Lems, Willem F. Hooft, Lotty de Rooij, Sophia E. Black, Dennis M. van Munster, Barbara C. Estimating the Time to Benefit for Preventive Drugs with the Statistical Process Control Method: An Example with Alendronate |
title | Estimating the Time to Benefit for Preventive Drugs with the Statistical Process Control Method: An Example with Alendronate |
title_full | Estimating the Time to Benefit for Preventive Drugs with the Statistical Process Control Method: An Example with Alendronate |
title_fullStr | Estimating the Time to Benefit for Preventive Drugs with the Statistical Process Control Method: An Example with Alendronate |
title_full_unstemmed | Estimating the Time to Benefit for Preventive Drugs with the Statistical Process Control Method: An Example with Alendronate |
title_short | Estimating the Time to Benefit for Preventive Drugs with the Statistical Process Control Method: An Example with Alendronate |
title_sort | estimating the time to benefit for preventive drugs with the statistical process control method: an example with alendronate |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4837200/ https://www.ncbi.nlm.nih.gov/pubmed/26884390 http://dx.doi.org/10.1007/s40266-016-0344-7 |
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