Literature DB >> 28978562

Developing the WCRF International/University of Bristol Methodology for Identifying and Carrying Out Systematic Reviews of Mechanisms of Exposure-Cancer Associations.

Sarah J Lewis1,2, Mike Gardner3,4, Julian Higgins3, Jeff M P Holly5, Tom R Gaunt3,2, Claire M Perks5, Suzanne D Turner6, Sabina Rinaldi7, Steve Thomas8, Sean Harrison3,2, Rosie J Lennon3, Vanessa Tan3,2, Cath Borwick3,9, Pauline Emmett3, Mona Jeffreys3, Kate Northstone10, Giota Mitrou11, Martin Wiseman11, Rachel Thompson11, Richard M Martin3,2.   

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. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28978562      PMCID: PMC6029666          DOI: 10.1158/1055-9965.EPI-17-0232

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  17 in total

1.  An exploratory test for an excess of significant findings.

Authors:  John P A Ioannidis; Thomas A Trikalinos
Journal:  Clin Trials       Date:  2007       Impact factor: 2.486

2.  GRADE: an emerging consensus on rating quality of evidence and strength of recommendations.

Authors:  Gordon H Guyatt; Andrew D Oxman; Gunn E Vist; Regina Kunz; Yngve Falck-Ytter; Pablo Alonso-Coello; Holger J Schünemann
Journal:  BMJ       Date:  2008-04-26

Review 3.  A Comparative Study on the WCRF International/University of Bristol Methodology for Systematic Reviews of Mechanisms Underpinning Exposure-Cancer Associations.

Authors:  Gökhan Ertaylan; Charlotte Le Cornet; Eline H van Roekel; Audrey Y Jung; Martijn J L Bours; Antje Damms-Machado; Piet A van den Brandt; Helena Schock; Theo M de Kok; Jan Theys; Ilja C W Arts; Rudolf Kaaks; Matty P Weijenberg; Renée Turzanski Fortner
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-07-28       Impact factor: 4.254

4.  Meta-analysis in clinical trials.

Authors:  R DerSimonian; N Laird
Journal:  Control Clin Trials       Date:  1986-09

5.  Operating characteristics of a rank correlation test for publication bias.

Authors:  C B Begg; M Mazumdar
Journal:  Biometrics       Date:  1994-12       Impact factor: 2.571

Review 6.  Hallmarks of cancer: the next generation.

Authors:  Douglas Hanahan; Robert A Weinberg
Journal:  Cell       Date:  2011-03-04       Impact factor: 41.582

7.  ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions.

Authors:  Jonathan Ac Sterne; Miguel A Hernán; Barnaby C Reeves; Jelena Savović; Nancy D Berkman; Meera Viswanathan; David Henry; Douglas G Altman; Mohammed T Ansari; Isabelle Boutron; James R Carpenter; An-Wen Chan; Rachel Churchill; Jonathan J Deeks; Asbjørn Hróbjartsson; Jamie Kirkham; Peter Jüni; Yoon K Loke; Theresa D Pigott; Craig R Ramsay; Deborah Regidor; Hannah R Rothstein; Lakhbir Sandhu; Pasqualina L Santaguida; Holger J Schünemann; Beverly Shea; Ian Shrier; Peter Tugwell; Lucy Turner; Jeffrey C Valentine; Hugh Waddington; Elizabeth Waters; George A Wells; Penny F Whiting; Julian Pt Higgins
Journal:  BMJ       Date:  2016-10-12

8.  The albatross plot: A novel graphical tool for presenting results of diversely reported studies in a systematic review.

Authors:  Sean Harrison; Hayley E Jones; Richard M Martin; Sarah J Lewis; Julian P T Higgins
Journal:  Res Synth Methods       Date:  2017-04-28       Impact factor: 5.273

9.  ROBIS: A new tool to assess risk of bias in systematic reviews was developed.

Authors:  Penny Whiting; Jelena Savović; Julian P T Higgins; Deborah M Caldwell; Barnaby C Reeves; Beverley Shea; Philippa Davies; Jos Kleijnen; Rachel Churchill
Journal:  J Clin Epidemiol       Date:  2015-06-16       Impact factor: 6.437

10.  SYRCLE's risk of bias tool for animal studies.

Authors:  Carlijn R Hooijmans; Maroeska M Rovers; Rob B M de Vries; Marlies Leenaars; Merel Ritskes-Hoitinga; Miranda W Langendam
Journal:  BMC Med Res Methodol       Date:  2014-03-26       Impact factor: 4.615

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  9 in total

Review 1.  Linking Physical Activity to Breast Cancer: Text Mining Results and a Protocol for Systematically Reviewing Three Potential Mechanistic Pathways.

Authors:  Brigid M Lynch; Roger L Milne; Dallas R English; Kristy A Brown; Ann E Drummond; Christopher T V Swain; Eline H van Roekel; Melissa M Moore; Tom R Gaunt; Richard M Martin; Sarah J Lewis
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-10-20       Impact factor: 4.254

Review 2.  Linking Physical Activity to Breast Cancer via Sex Hormones, Part 1: The Effect of Physical Activity on Sex Steroid Hormones.

Authors:  Christopher T V Swain; Ann E Drummond; Leonessa Boing; Roger L Milne; Dallas R English; Kristy A Brown; Eline H van Roekel; Suzanne C Dixon-Suen; Michael J Lynch; Melissa M Moore; Tom R Gaunt; Richard M Martin; Sarah J Lewis; Brigid M Lynch
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-10-20       Impact factor: 4.254

Review 3.  Linking Physical Activity to Breast Cancer via Sex Steroid Hormones, Part 2: The Effect of Sex Steroid Hormones on Breast Cancer Risk.

Authors:  Ann E Drummond; Christopher T V Swain; Kristy A Brown; Suzanne C Dixon-Suen; Leonessa Boing; Eline H van Roekel; Melissa M Moore; Tom R Gaunt; Roger L Milne; Dallas R English; Richard M Martin; Sarah J Lewis; Brigid M Lynch
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-10-20       Impact factor: 4.254

4.  The World Cancer Research Fund/American Institute for Cancer Research Third Expert Report on Diet, Nutrition, Physical Activity, and Cancer: Impact and Future Directions.

Authors:  Steven K Clinton; Edward L Giovannucci; Stephen D Hursting
Journal:  J Nutr       Date:  2020-04-01       Impact factor: 4.798

5.  Evaluating biological plausibility in supporting evidence for action through systematic reviews in public health.

Authors:  J Dailey; L Rosman; E K Silbergeld
Journal:  Public Health       Date:  2018-10-25       Impact factor: 2.427

6.  Does testosterone mediate the relationship between vitamin D and prostate cancer? A systematic review and meta-analysis protocol.

Authors:  Luke A Robles; Karen Dawe; Richard M Martin; Julian P T Higgins; Sarah J Lewis
Journal:  Syst Rev       Date:  2019-02-12

Review 7.  Does testosterone mediate the relationship between vitamin D and prostate cancer progression? A systematic review and meta-analysis.

Authors:  Luke A Robles; Sean Harrison; Vanessa Y Tan; Rhona Beynon; Alexandra McAleenan; Julian Pt Higgins; Richard M Martin; Sarah J Lewis
Journal:  Cancer Causes Control       Date:  2022-06-26       Impact factor: 2.532

Review 8.  A Cell-Based Systematic Review on the Role of Annexin A1 in Triple-Negative Breast Cancers.

Authors:  Lishantini Pearanpan; Fariza Juliana Nordin; Ee Ling Siew; Endang Kumolosasi; Ezanee Azlina Mohamad Hanif; Siti Fathiah Masre; Eng Wee Chua; Hong Sheng Cheng; Nor Fadilah Rajab
Journal:  Int J Mol Sci       Date:  2022-07-26       Impact factor: 6.208

9.  Effects of Short-Chain Fatty Acids on Human Oral Epithelial Cells and the Potential Impact on Periodontal Disease: A Systematic Review of In Vitro Studies.

Authors:  Gabriel Leonardo Magrin; Franz Josef Strauss; Cesar Augusto Magalhães Benfatti; Lucianne Cople Maia; Reinhard Gruber
Journal:  Int J Mol Sci       Date:  2020-07-11       Impact factor: 6.208

  9 in total

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