Developing the WCRF international/University of Bristol methodology for identifying and carrying out systematic reviews of mechanisms of exposure-cancer associations

Sarah J Lewis, Mike Gardner, Julian Higgins, Jeff M P Holly, Tom R Gaunt, Claire M Perks, Suzanne D Turner, Sabina Rinaldi, Steve Thomas, Sean Harrison, Rosie J Lennon, Vanessa Tan, Cath Borwick, Pauline Emmett, Mona Jeffreys, Kate Northstone, Giota Mitrou, Martin Wiseman, Rachel Thompson, Richard M Martin

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1667-1675
Number of pages9
JournalCancer Epidemiology, Biomarkers & Prevention
Volume26
Issue number11
Early online date4 Oct 2017
DOIs
Publication statusPublished - Nov 2017

Bibliographical note

©2017 American Association for Cancer Research.

Keywords

  • Biomedical Research/methods
  • Data Mining/methods
  • Evidence-Based Medicine/methods
  • Humans
  • Intersectoral Collaboration
  • Neoplasms/diagnosis
  • Research Design

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