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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
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.
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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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