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UKCTOCS update: applying insights of delayed effects in cancer screening trials to the long-term follow-up mortality analysis
BACKGROUND: During trials that span decades, new evidence including progress in statistical methodology, may require revision of original assumptions. An example is the continued use of a constant-effect approach to analyse the mortality reduction which is often delayed in cancer-screening trials. T...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7919310/ https://www.ncbi.nlm.nih.gov/pubmed/33648562 http://dx.doi.org/10.1186/s13063-021-05125-8 |
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author | Burnell, Matthew Gentry-Maharaj, Aleksandra Skates, Steven J. Ryan, Andy Karpinskyj, Chloe Kalsi, Jatinderpal Apostolidou, Sophia Singh, Naveena Dawnay, Anne Woolas, Robert Fallowfield, Lesley Campbell, Stuart McGuire, Alistair Jacobs, Ian J. Parmar, Mahesh Menon, Usha |
author_facet | Burnell, Matthew Gentry-Maharaj, Aleksandra Skates, Steven J. Ryan, Andy Karpinskyj, Chloe Kalsi, Jatinderpal Apostolidou, Sophia Singh, Naveena Dawnay, Anne Woolas, Robert Fallowfield, Lesley Campbell, Stuart McGuire, Alistair Jacobs, Ian J. Parmar, Mahesh Menon, Usha |
author_sort | Burnell, Matthew |
collection | PubMed |
description | BACKGROUND: During trials that span decades, new evidence including progress in statistical methodology, may require revision of original assumptions. An example is the continued use of a constant-effect approach to analyse the mortality reduction which is often delayed in cancer-screening trials. The latter led us to re-examine our approach for the upcoming primary mortality analysis (2020) of long-term follow-up of the United Kingdom Collaborative Trial of Ovarian Cancer Screening (LTFU UKCTOCS), having initially (2014) used the proportional hazards (PH) Cox model. METHODS: We wrote to 12 experts in statistics/epidemiology/screening trials, setting out current evidence, the importance of pre-specification, our previous mortality analysis (2014) and three possible choices for the follow-up analysis (2020) of the mortality outcome: (A) all data (2001–2020) using the Cox model (2014), (B) new data (2015–2020) only and (C) all data (2001–2020) using a test that allows for delayed effects. RESULTS: Of 11 respondents, eight supported changing the 2014 approach to allow for a potential delayed effect (option C), suggesting various tests while three favoured retaining the Cox model (option A). Consequently, we opted for the Versatile test introduced in 2016 which maintains good power for early, constant or delayed effects. We retained the Royston-Parmar model to estimate absolute differences in disease-specific mortality at 5, 10, 15 and 18 years. CONCLUSIONS: The decision to alter the follow-up analysis for the primary outcome on the basis of new evidence and using new statistical methodology for long-term follow-up is novel and has implications beyond UKCTOCS. There is an urgent need for consensus building on how best to design, test, estimate and report mortality outcomes from long-term randomised cancer screening trials. TRIAL REGISTRATION: ISRCTN22488978. Registered on 6 April 2000. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13063-021-05125-8. |
format | Online Article Text |
id | pubmed-7919310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79193102021-03-02 UKCTOCS update: applying insights of delayed effects in cancer screening trials to the long-term follow-up mortality analysis Burnell, Matthew Gentry-Maharaj, Aleksandra Skates, Steven J. Ryan, Andy Karpinskyj, Chloe Kalsi, Jatinderpal Apostolidou, Sophia Singh, Naveena Dawnay, Anne Woolas, Robert Fallowfield, Lesley Campbell, Stuart McGuire, Alistair Jacobs, Ian J. Parmar, Mahesh Menon, Usha Trials Update BACKGROUND: During trials that span decades, new evidence including progress in statistical methodology, may require revision of original assumptions. An example is the continued use of a constant-effect approach to analyse the mortality reduction which is often delayed in cancer-screening trials. The latter led us to re-examine our approach for the upcoming primary mortality analysis (2020) of long-term follow-up of the United Kingdom Collaborative Trial of Ovarian Cancer Screening (LTFU UKCTOCS), having initially (2014) used the proportional hazards (PH) Cox model. METHODS: We wrote to 12 experts in statistics/epidemiology/screening trials, setting out current evidence, the importance of pre-specification, our previous mortality analysis (2014) and three possible choices for the follow-up analysis (2020) of the mortality outcome: (A) all data (2001–2020) using the Cox model (2014), (B) new data (2015–2020) only and (C) all data (2001–2020) using a test that allows for delayed effects. RESULTS: Of 11 respondents, eight supported changing the 2014 approach to allow for a potential delayed effect (option C), suggesting various tests while three favoured retaining the Cox model (option A). Consequently, we opted for the Versatile test introduced in 2016 which maintains good power for early, constant or delayed effects. We retained the Royston-Parmar model to estimate absolute differences in disease-specific mortality at 5, 10, 15 and 18 years. CONCLUSIONS: The decision to alter the follow-up analysis for the primary outcome on the basis of new evidence and using new statistical methodology for long-term follow-up is novel and has implications beyond UKCTOCS. There is an urgent need for consensus building on how best to design, test, estimate and report mortality outcomes from long-term randomised cancer screening trials. TRIAL REGISTRATION: ISRCTN22488978. Registered on 6 April 2000. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13063-021-05125-8. BioMed Central 2021-03-01 /pmc/articles/PMC7919310/ /pubmed/33648562 http://dx.doi.org/10.1186/s13063-021-05125-8 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Update Burnell, Matthew Gentry-Maharaj, Aleksandra Skates, Steven J. Ryan, Andy Karpinskyj, Chloe Kalsi, Jatinderpal Apostolidou, Sophia Singh, Naveena Dawnay, Anne Woolas, Robert Fallowfield, Lesley Campbell, Stuart McGuire, Alistair Jacobs, Ian J. Parmar, Mahesh Menon, Usha UKCTOCS update: applying insights of delayed effects in cancer screening trials to the long-term follow-up mortality analysis |
title | UKCTOCS update: applying insights of delayed effects in cancer screening trials to the long-term follow-up mortality analysis |
title_full | UKCTOCS update: applying insights of delayed effects in cancer screening trials to the long-term follow-up mortality analysis |
title_fullStr | UKCTOCS update: applying insights of delayed effects in cancer screening trials to the long-term follow-up mortality analysis |
title_full_unstemmed | UKCTOCS update: applying insights of delayed effects in cancer screening trials to the long-term follow-up mortality analysis |
title_short | UKCTOCS update: applying insights of delayed effects in cancer screening trials to the long-term follow-up mortality analysis |
title_sort | ukctocs update: applying insights of delayed effects in cancer screening trials to the long-term follow-up mortality analysis |
topic | Update |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7919310/ https://www.ncbi.nlm.nih.gov/pubmed/33648562 http://dx.doi.org/10.1186/s13063-021-05125-8 |
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