Morris, E orcid.org/0000-0002-1075-6544 and Treasure, T (2017) If a picture is worth a thousand words, take a good look at the picture: survival after liver metastasectomy for colorectal cancer. Cancer Epidemiology, 49. pp. 152-155. ISSN 1877-7821
Abstract
Introduction: An analysis of NHS data published in by Morris et al. in 2010 is widely used as evidence in support of liver metastasectomy for colorectal cancer and its wider application. Recent evidence concerning better overall survival for patients with metastatic colorectal cancer challenges the notional assumptions about what survival would be without metastasectomy. Earlier detection of metastases for local treatments has not resulted in a survival benefit. Materials and methods: The interpretation of its central graphical display is critically reviewed and the common the limitations of the analysis of registry data and resulting immortal time bias are explored. Results and discussion: Recent evidence, including the 2017 CLOCC trial report make the original interpretation of the analysis suspect. Randomised trials are essential to detect a treatment effect of specific interventions among variable disease progression, selection bias, and multiple and repeated treatments that are inherent in the management of advanced cancer.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2017 Elsevier Ltd. This is an author produced version of a paper published in Cancer Epidemiology. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > Institute of Molecular Medicine (LIMM) (Leeds) > Section of Epidemiology and Biostatistics (Leeds) |
Funding Information: | Funder Grant number Cancer Research UK C23434/A23706 |
Depositing User: | Symplectic Publications |
Date Deposited: | 06 Jul 2017 14:59 |
Last Modified: | 07 Jul 2018 00:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.canep.2017.06.009 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:118697 |