Developing the WCRF international/University of Bristol methodology for identifying and carrying out systematic reviews of mechanisms of exposure-cancer associations
Research output: Contribution to journal › Article › peer-review
Colleges, School and Institutes
- University of Bristol
- University Hospitals Bristol NHS Foundation Trust
- University of Cambridge
- International Agency for Research on Cancer
- University Hospital of Wales
- WCRF International
Background: Human, animal, and cell experimental studies; human biomarker studies; and genetic studies complement epidemiologic findings and can offer insights into biological plausibility and pathways between exposure and disease, but methods for synthesizing such studies are lacking. We, therefore, developed a methodology for identifying mechanisms and carrying out systematic reviews of mechanistic studies that underpin exposure-cancer associations.
Methods: A multidisciplinary team with expertise in informatics, statistics, epidemiology, systematic reviews, cancer biology, and nutrition was assembled. Five 1-day workshops were held to brainstorm ideas; in the intervening periods we carried out searches and applied our methods to a case study to test our ideas.
Results: We have developed a two-stage framework, the first stage of which is designed to identify mechanisms underpinning a specific exposure-disease relationship; the second stage is a targeted systematic review of studies on a specific mechanism. As part of the methodology, we also developed an online tool for text mining for mechanism prioritization (TeMMPo) and a new graph for displaying related but heterogeneous data from epidemiologic studies (the Albatross plot).
Conclusions: We have developed novel tools for identifying mechanisms and carrying out systematic reviews of mechanistic studies of exposure-disease relationships. In doing so, we have outlined how we have overcome the challenges that we faced and provided researchers with practical guides for conducting mechanistic systematic reviews.
Impact: The aforementioned methodology and tools will allow potential mechanisms to be identified and the strength of the evidence underlying a particular mechanism to be assessed. Cancer Epidemiol Biomarkers Prev; 26(11); 1667-75. ©2017 AACR.
|Number of pages||9|
|Journal||Cancer Epidemiology, Biomarkers & Prevention|
|Early online date||4 Oct 2017|
|Publication status||Published - Nov 2017|
- Biomedical Research/methods, Data Mining/methods, Evidence-Based Medicine/methods, Humans, Intersectoral Collaboration, Neoplasms/diagnosis, Research Design