Literature DB >> 23462917

Transforming epidemiology for 21st century medicine and public health.

Muin J Khoury1, Tram Kim Lam, John P A Ioannidis, Patricia Hartge, Margaret R Spitz, Julie E Buring, Stephen J Chanock, Robert T Croyle, Katrina A Goddard, Geoffrey S Ginsburg, Zdenko Herceg, Robert A Hiatt, Robert N Hoover, David J Hunter, Barnet S Kramer, Michael S Lauer, Jeffrey A Meyerhardt, Olufunmilayo I Olopade, Julie R Palmer, Thomas A Sellers, Daniela Seminara, David F Ransohoff, Timothy R Rebbeck, Georgia Tourassi, Deborah M Winn, Ann Zauber, Sheri D Schully.   

Abstract

In 2012, the National Cancer Institute (NCI) engaged the scientific community to provide a vision for cancer epidemiology in the 21st century. Eight overarching thematic recommendations, with proposed corresponding actions for consideration by funding agencies, professional societies, and the research community emerged from the collective intellectual discourse. The themes are (i) extending the reach of epidemiology beyond discovery and etiologic research to include multilevel analysis, intervention evaluation, implementation, and outcomes research; (ii) transforming the practice of epidemiology by moving toward more access and sharing of protocols, data, metadata, and specimens to foster collaboration, to ensure reproducibility and replication, and accelerate translation; (iii) expanding cohort studies to collect exposure, clinical, and other information across the life course and examining multiple health-related endpoints; (iv) developing and validating reliable methods and technologies to quantify exposures and outcomes on a massive scale, and to assess concomitantly the role of multiple factors in complex diseases; (v) integrating "big data" science into the practice of epidemiology; (vi) expanding knowledge integration to drive research, policy, and practice; (vii) transforming training of 21st century epidemiologists to address interdisciplinary and translational research; and (viii) optimizing the use of resources and infrastructure for epidemiologic studies. These recommendations can transform cancer epidemiology and the field of epidemiology, in general, by enhancing transparency, interdisciplinary collaboration, and strategic applications of new technologies. They should lay a strong scientific foundation for accelerated translation of scientific discoveries into individual and population health benefits.

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Year:  2013        PMID: 23462917      PMCID: PMC3625652          DOI: 10.1158/1055-9965.EPI-13-0146

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


  47 in total

1.  Epidemiology in the 21st century: calculation, communication, and intervention.

Authors:  J P Koplan; S B Thacker; N A Lezin
Journal:  Am J Public Health       Date:  1999-08       Impact factor: 9.308

2.  Epidemiology: key to translational, team, and transdisciplinary science.

Authors:  Robert A Hiatt
Journal:  Ann Epidemiol       Date:  2008-09-26       Impact factor: 3.797

3.  Point: is there a future for innovative epidemiology?

Authors:  Lewis H Kuller
Journal:  Am J Epidemiol       Date:  2013-01-07       Impact factor: 4.897

Review 4.  Provocative questions in cancer epidemiology in a time of scientific innovation and budgetary constraints.

Authors:  Tram Kim Lam; Sheri D Schully; Scott D Rogers; Rachel Benkeser; Britt Reid; Muin J Khoury
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-02-14       Impact factor: 4.254

5.  "Drivers" of translational cancer epidemiology in the 21st century: needs and opportunities.

Authors:  Tram Kim Lam; Margaret Spitz; Sheri D Schully; Muin J Khoury
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-01-15       Impact factor: 4.254

Review 6.  Knowledge integration: conceptualizing communications in cancer control systems.

Authors:  Allan Best; Robert A Hiatt; Cameron D Norman
Journal:  Patient Educ Couns       Date:  2008-04-09

7.  Moving the science of team science forward: collaboration and creativity.

Authors:  Kara L Hall; Annie X Feng; Richard P Moser; Daniel Stokols; Brandie K Taylor
Journal:  Am J Prev Med       Date:  2008-08       Impact factor: 5.043

8.  Bridging the gap between biologic, individual, and macroenvironmental factors in cancer: a multilevel approach.

Authors:  Shannon M Lynch; Timothy R Rebbeck
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-03-05       Impact factor: 4.254

Review 9.  Systematic review of the empirical evidence of study publication bias and outcome reporting bias.

Authors:  Kerry Dwan; Douglas G Altman; Juan A Arnaiz; Jill Bloom; An-Wen Chan; Eugenia Cronin; Evelyne Decullier; Philippa J Easterbrook; Erik Von Elm; Carrol Gamble; Davina Ghersi; John P A Ioannidis; John Simes; Paula R Williamson
Journal:  PLoS One       Date:  2008-08-28       Impact factor: 3.240

10.  Why most published research findings are false.

Authors:  John P A Ioannidis
Journal:  PLoS Med       Date:  2005-08-30       Impact factor: 11.613

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  53 in total

1.  The Cancer Genomics and Epidemiology Navigator: An NCI online tool to enhance cancer epidemiology research.

Authors:  Sheri D Schully; Scott D Rogers; Tram Kim Lam; Christine Q Chang; Mindy Clyne; Jean Cyr; Daniel Watson; Muin J Khoury
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-11       Impact factor: 4.254

Review 2.  Research Needs for Understanding the Biology of Overdiagnosis in Cancer Screening.

Authors:  Sudhir Srivastava; Brian J Reid; Sharmistha Ghosh; Barnett S Kramer
Journal:  J Cell Physiol       Date:  2016-04-29       Impact factor: 6.384

Review 3.  Public Health and Epidemiology Informatics: Recent Research and Trends in the United States.

Authors:  B E Dixon; H Kharrazi; H P Lehmann
Journal:  Yearb Med Inform       Date:  2015-08-13

4.  The Cancer Epidemiology Descriptive Cohort Database: A Tool to Support Population-Based Interdisciplinary Research.

Authors:  Amy E Kennedy; Muin J Khoury; John P A Ioannidis; Michelle Brotzman; Amy Miller; Crystal Lane; Gabriel Y Lai; Scott D Rogers; Chinonye Harvey; Joanne W Elena; Daniela Seminara
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-07-20       Impact factor: 4.254

Review 5.  Characterising the epigenome as a key component of the fetal exposome in evaluating in utero exposures and childhood cancer risk.

Authors:  Akram Ghantous; Hector Hernandez-Vargas; Graham Byrnes; Terence Dwyer; Zdenko Herceg
Journal:  Mutagenesis       Date:  2015-02-26       Impact factor: 3.000

Review 6.  The impact of neighborhood social and built environment factors across the cancer continuum: Current research, methodological considerations, and future directions.

Authors:  Scarlett Lin Gomez; Salma Shariff-Marco; Mindy DeRouen; Theresa H M Keegan; Irene H Yen; Mahasin Mujahid; William A Satariano; Sally L Glaser
Journal:  Cancer       Date:  2015-04-06       Impact factor: 6.860

7.  Roger et al. respond to "future of population studies".

Authors:  Véronique L Roger; Eric Boerwinkle; James D Crapo; Pamela S Douglas; Jonathan A Epstein; Christopher B Granger; Philip Greenland; Isaac Kohane; Bruce M Psaty
Journal:  Am J Epidemiol       Date:  2015-03-04       Impact factor: 4.897

8.  Commentary: Epidemiology in the era of big data.

Authors:  Stephen J Mooney; Daniel J Westreich; Abdulrahman M El-Sayed
Journal:  Epidemiology       Date:  2015-05       Impact factor: 4.822

Review 9.  Efficient design of clinical trials and epidemiological research: is it possible?

Authors:  Michael S Lauer; David Gordon; Gina Wei; Gail Pearson
Journal:  Nat Rev Cardiol       Date:  2017-04-27       Impact factor: 32.419

Review 10.  Evolution of the "drivers" of translational cancer epidemiology: analysis of funded grants and the literature.

Authors:  Tram Kim Lam; Christine Q Chang; Scott D Rogers; Muin J Khoury; Sheri D Schully
Journal:  Am J Epidemiol       Date:  2015-03-11       Impact factor: 4.897

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