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Randomized controlled trials: who fails run-in?
BACKGROUND: Early identification of participants at risk of run-in failure (RIF) may present opportunities to improve trial efficiency and generalizability. METHODS: We conducted a partial factorial-design, randomized, controlled trial of calcium and vitamin D to prevent colorectal adenoma recurrenc...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4966775/ https://www.ncbi.nlm.nih.gov/pubmed/27474021 http://dx.doi.org/10.1186/s13063-016-1451-9 |
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author | Rees, Judy R. Mott, Leila A. Barry, Elizabeth L. Baron, John A. Figueiredo, Jane C. Robertson, Douglas J. Bresalier, Robert S. Peacock, Janet L. |
author_facet | Rees, Judy R. Mott, Leila A. Barry, Elizabeth L. Baron, John A. Figueiredo, Jane C. Robertson, Douglas J. Bresalier, Robert S. Peacock, Janet L. |
author_sort | Rees, Judy R. |
collection | PubMed |
description | BACKGROUND: Early identification of participants at risk of run-in failure (RIF) may present opportunities to improve trial efficiency and generalizability. METHODS: We conducted a partial factorial-design, randomized, controlled trial of calcium and vitamin D to prevent colorectal adenoma recurrence at 11 centers in the United States. At baseline, participants completed two self-administered questionnaires (SAQs) and a questionnaire administered by staff. Participants in the full factorial randomization (calcium, vitamin D, both, or neither) received a placebo during a 3-month single-blinded run-in; women electing to take calcium enrolled in a two-group randomization (calcium with vitamin D, or calcium alone) and received calcium during the run-in. Using logistic regression models, we examined baseline factors associated with RIF in three subgroups: men (N = 1606) and women (N = 301) in the full factorial randomization and women in the two-group randomization (N = 666). RESULTS: Overall, 314/2573 (12 %) participants failed run-in; 211 (67 %) took fewer than 80 % of their tablets (poor adherence), and 103 (33 %) withdrew or were uncooperative. In multivariable models, 8- to 13-fold variation was seen by study center in odds of RIF risk in the two largest groups. In men, RIF decreased with age (adjusted odds ratio [OR] per 5 years 0.85 [95 % confidence interval, CI; 0.76–0.96]) and was associated with being single (OR 1.65 [95 % CI; 1.10–2.47]), not graduating from high school (OR 2.77 [95 % CI; 1.58–4.85]), and missing SAQ data (OR 1.97 [1.40–2.76]). Among women, RIF was associated primarily with health-related factors; RIF risk was lower with higher physical health score (OR 0.73 [95 % CI; 0.62–0.86]) and baseline multivitamin use (OR 0.44 [95 % CI; 0.26–0.75]). Women in the 5-year colonoscopy surveillance interval were at greater risk of RIF than those with 3-year follow-up (OR 1.91 [95 % CI; 1.08–3.37]), and the number of prescription medicines taken was also positively correlated with RIF (p = 0.03). Perceived toxicities during run-in were associated with 12- to 29-fold significantly increased odds of RIF. CONCLUSIONS: There were few common baseline predictors of run-in failure in the three randomization groups. However, heterogeneity in run-in failure associated with study center, and missing SAQ data reflect potential opportunities for intervention to improve trial efficiency and retention. TRIAL REGISTRATION: ClinicalTrials.gov: NCT00153816. Registered September 2005. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13063-016-1451-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4966775 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49667752016-07-30 Randomized controlled trials: who fails run-in? Rees, Judy R. Mott, Leila A. Barry, Elizabeth L. Baron, John A. Figueiredo, Jane C. Robertson, Douglas J. Bresalier, Robert S. Peacock, Janet L. Trials Research BACKGROUND: Early identification of participants at risk of run-in failure (RIF) may present opportunities to improve trial efficiency and generalizability. METHODS: We conducted a partial factorial-design, randomized, controlled trial of calcium and vitamin D to prevent colorectal adenoma recurrence at 11 centers in the United States. At baseline, participants completed two self-administered questionnaires (SAQs) and a questionnaire administered by staff. Participants in the full factorial randomization (calcium, vitamin D, both, or neither) received a placebo during a 3-month single-blinded run-in; women electing to take calcium enrolled in a two-group randomization (calcium with vitamin D, or calcium alone) and received calcium during the run-in. Using logistic regression models, we examined baseline factors associated with RIF in three subgroups: men (N = 1606) and women (N = 301) in the full factorial randomization and women in the two-group randomization (N = 666). RESULTS: Overall, 314/2573 (12 %) participants failed run-in; 211 (67 %) took fewer than 80 % of their tablets (poor adherence), and 103 (33 %) withdrew or were uncooperative. In multivariable models, 8- to 13-fold variation was seen by study center in odds of RIF risk in the two largest groups. In men, RIF decreased with age (adjusted odds ratio [OR] per 5 years 0.85 [95 % confidence interval, CI; 0.76–0.96]) and was associated with being single (OR 1.65 [95 % CI; 1.10–2.47]), not graduating from high school (OR 2.77 [95 % CI; 1.58–4.85]), and missing SAQ data (OR 1.97 [1.40–2.76]). Among women, RIF was associated primarily with health-related factors; RIF risk was lower with higher physical health score (OR 0.73 [95 % CI; 0.62–0.86]) and baseline multivitamin use (OR 0.44 [95 % CI; 0.26–0.75]). Women in the 5-year colonoscopy surveillance interval were at greater risk of RIF than those with 3-year follow-up (OR 1.91 [95 % CI; 1.08–3.37]), and the number of prescription medicines taken was also positively correlated with RIF (p = 0.03). Perceived toxicities during run-in were associated with 12- to 29-fold significantly increased odds of RIF. CONCLUSIONS: There were few common baseline predictors of run-in failure in the three randomization groups. However, heterogeneity in run-in failure associated with study center, and missing SAQ data reflect potential opportunities for intervention to improve trial efficiency and retention. TRIAL REGISTRATION: ClinicalTrials.gov: NCT00153816. Registered September 2005. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13063-016-1451-9) contains supplementary material, which is available to authorized users. BioMed Central 2016-07-29 /pmc/articles/PMC4966775/ /pubmed/27474021 http://dx.doi.org/10.1186/s13063-016-1451-9 Text en © Rees et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Rees, Judy R. Mott, Leila A. Barry, Elizabeth L. Baron, John A. Figueiredo, Jane C. Robertson, Douglas J. Bresalier, Robert S. Peacock, Janet L. Randomized controlled trials: who fails run-in? |
title | Randomized controlled trials: who fails run-in? |
title_full | Randomized controlled trials: who fails run-in? |
title_fullStr | Randomized controlled trials: who fails run-in? |
title_full_unstemmed | Randomized controlled trials: who fails run-in? |
title_short | Randomized controlled trials: who fails run-in? |
title_sort | randomized controlled trials: who fails run-in? |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4966775/ https://www.ncbi.nlm.nih.gov/pubmed/27474021 http://dx.doi.org/10.1186/s13063-016-1451-9 |
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