This document summarizes the objectives and approach of the Continuous Update Project (CUP) Mechanisms Project. The project aims to develop guidelines for systematically reviewing mechanistic studies linking exposures like diet and cancer. It will create a template protocol through expert workshops and test it on a specific exposure-outcome link. Challenges include developing generalizable methods, assessing study quality, and determining relevance to humans. The methodology could mainstream how mechanistic evidence is reviewed and inform future research directions.
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Wiseman Martin - 20th International Nutrition Congress 2013
1. Continuous Update Project Systematic Reviews of Animal and
Human Mechanistic Studies
Martin Wiseman
Medical and Scientific Adviser
WCRF International
London
UK
Visiting Professor of Human Nutrition
University of Southampton
UK
IUNS, Granada, 2013
6. Systematic reviews
Expert international Task Force for method
Nine centres - USA, UK, NL, Italy
SLR centre coordinator
Test of reproducibility
Standardised search, analysis and display
Epidemiology and mechanisms
Quality assessment
Peer review - protocol, report
Defined expertise required
Nutrition, epidemiology, systematic review, cancer biology, statistics
8. GRADING CRITERIA
Predefined requirements for:
–Number and types of studies
–Quality of exposure and outcome assessment
–Heterogeneity within and between study
types
–Exclusion of chance, bias or confounding
–Biological gradient
–Evidence of mechanisms
–Size of effect
12. 2007 Second Expert Report
Information from mechanistic studiesnarrative reviews
Evidence on mechanisms-predefined
requirement for grading criteria
Considerations:
reviews not systematic
could select a mechanism to explain
epidemiological associations
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29 MARCH 2012 | VOL 483 | NATURE | 531
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16. Importance
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Systematic reviews
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Extensive mechanistic data from animals & cell lines
linking diet & cancer
Rigorous methods for conducting & reporting SRs of
mechanistic studies are lacking
This project should increase the value of mechanistic
data:
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Allow objective appraisal of evidence
Reduce false-positive & false-negative results
Identify sources of bias, improving study quality
Enable more rigorous systematic reviews
Increased precision of estimated effects
Identify gaps in the research evidence
Reduce selective citation of mechanistic evidence
Inform generalisability to humans (e.g. heterogeneity across species &
models)
A potential tool in the translation of basic sciences into
policy & practice
17. Mechanisms Protocol
Development Group
• Stephen Hursting (chair)
• Andrew Dannenberg
• Johanna Lampe
• Henry Thompson
• Steven Clinton
• Nikki Ford - associate
member
Task: develop guidelines on how review of mechanisms
could be approached
18. CUP Mechanisms Project
Objectives
Two Phases (18 month project)
Develop draft template protocol to stage where
it can be tested using specific exposureoutcome link (Phase 1)
Carry out feasibility test of developed template
protocol for conducting systematic reviews of
mechanistic evidence for specific exposurecancer link (Phase 2)
19. WCRF International Continuous Update Project
Systematic review method for mechanistic evidence
University of Bristol
Multidisciplinary team (informatics, statistics,
epidemiology, systematic reviews, cancer
biology, pathology, nutrition)
Search terms/inclusion-exclusion criteria
How to manage vast number of papers
What information to be extracted
How to analyse/display results
Identify criteria for grading the evidence
20. Systematic reviews of mechanisms
Conditions
Reviews to be systematic and peer
reviewed
Reviews conducted by exposure
Feasibility test of final draft protocol by
external group, including peer review
Molecular, cellular, physiological…
21. Overall approach
Four workshops with experts within group at
University of Bristol, UK
Regular meetings between workshops
refine the protocol
carry out searches
investigate quality criteria
determine inclusion/exclusion criteria
consider methods to investigate publication bias
consider methods to report/display results
External reference groups
CUP Panel
Mechanisms PDG
22. Challenges
Developing a one size fits all template
Finding the relevant studies
Determining study quality
Determining the strength of evidence for different
study types
Determining the relevance to humans
Publication bias
Collating and synthesising the evidence
Displaying the results
23. Potential Impact
Recommendations based on most robust
science
Beyond CUP
New methodology-mainstream approach
to review mechanistic studies
Inform direction of future research in area
of diet/PA/body fatness and cancer
There were five possible grades the panel could assign the evidence for a specific relationship:
Convincing
Probable
Limited Evidence – Suggestive
Limited Evidence – No Conclusion
Substantial Effect on Risk Unlikely
Meta-analysis of the association between TP53 status and the risk of death at 2 years. Each study is shown by the name of the first author and the risk ratio with 95% confidence intervals. RR is shown with open circle and 95% CI with continuous line. Summary risk ratio and 95% confidence intervals (according to random effects calculations) are also shown: RR is shown with solid diamonds and 95% CI with continuous line. Data are separated into published and indexed; published but not indexed; and retrieved. For CIs that extend beyond the visible range, arrows have been placed.
If results are consistent across species and models, this could indicate they might also apply to humans. Since the primary aim of animal experiments is to inform human experimentation, this would be valuable information.
How to manage vast body of evidence-Consider limiting reviews to more recent publications when abundant evidence
Consider early exclusion of inappropriate models
Use informatics expert