Cargando…

New Models for Large Prospective Studies: Is There a Better Way?

Large prospective cohort studies are critical for identifying etiologic factors for disease, but they require substantial long-term research investment. Such studies can be conducted as multisite consortia of academic medical centers, combinations of smaller ongoing studies, or a single large site s...

Descripción completa

Detalles Bibliográficos
Autores principales: Manolio, Teri A., Weis, Brenda K., Cowie, Catherine C., Hoover, Robert N., Hudson, Kathy, Kramer, Barnett S., Berg, Chris, Collins, Rory, Ewart, Wendy, Gaziano, J. Michael, Hirschfeld, Steven, Marcus, Pamela M., Masys, Daniel, McCarty, Catherine A., McLaughlin, John, Patel, Alpa V., Peakman, Tim, Pedersen, Nancy L., Schaefer, Catherine, Scott, Joan A., Sprosen, Timothy, Walport, Mark, Collins, Francis S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3339313/
https://www.ncbi.nlm.nih.gov/pubmed/22411865
http://dx.doi.org/10.1093/aje/kwr453
_version_ 1782231335452016640
author Manolio, Teri A.
Weis, Brenda K.
Cowie, Catherine C.
Hoover, Robert N.
Hudson, Kathy
Kramer, Barnett S.
Berg, Chris
Collins, Rory
Ewart, Wendy
Gaziano, J. Michael
Hirschfeld, Steven
Marcus, Pamela M.
Masys, Daniel
McCarty, Catherine A.
McLaughlin, John
Patel, Alpa V.
Peakman, Tim
Pedersen, Nancy L.
Schaefer, Catherine
Scott, Joan A.
Sprosen, Timothy
Walport, Mark
Collins, Francis S.
author_facet Manolio, Teri A.
Weis, Brenda K.
Cowie, Catherine C.
Hoover, Robert N.
Hudson, Kathy
Kramer, Barnett S.
Berg, Chris
Collins, Rory
Ewart, Wendy
Gaziano, J. Michael
Hirschfeld, Steven
Marcus, Pamela M.
Masys, Daniel
McCarty, Catherine A.
McLaughlin, John
Patel, Alpa V.
Peakman, Tim
Pedersen, Nancy L.
Schaefer, Catherine
Scott, Joan A.
Sprosen, Timothy
Walport, Mark
Collins, Francis S.
author_sort Manolio, Teri A.
collection PubMed
description Large prospective cohort studies are critical for identifying etiologic factors for disease, but they require substantial long-term research investment. Such studies can be conducted as multisite consortia of academic medical centers, combinations of smaller ongoing studies, or a single large site such as a dominant regional health-care provider. Still another strategy relies upon centralized conduct of most or all aspects, recruiting through multiple temporary assessment centers. This is the approach used by a large-scale national resource in the United Kingdom known as the “UK Biobank,” which completed recruitment/examination of 503,000 participants between 2007 and 2010 within budget and ahead of schedule. A key lesson from UK Biobank and similar studies is that large studies are not simply small studies made large but, rather, require fundamentally different approaches in which “process” expertise is as important as scientific rigor. Embedding recruitment in a structure that facilitates outcome determination, utilizing comprehensive and flexible information technology, automating biospecimen processing, ensuring broad consent, and establishing essentially autonomous leadership with appropriate oversight are all critical to success. Whether and how these approaches may be transportable to the United States remain to be explored, but their success in studies such as UK Biobank makes a compelling case for such explorations to begin.
format Online
Article
Text
id pubmed-3339313
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-33393132012-04-30 New Models for Large Prospective Studies: Is There a Better Way? Manolio, Teri A. Weis, Brenda K. Cowie, Catherine C. Hoover, Robert N. Hudson, Kathy Kramer, Barnett S. Berg, Chris Collins, Rory Ewart, Wendy Gaziano, J. Michael Hirschfeld, Steven Marcus, Pamela M. Masys, Daniel McCarty, Catherine A. McLaughlin, John Patel, Alpa V. Peakman, Tim Pedersen, Nancy L. Schaefer, Catherine Scott, Joan A. Sprosen, Timothy Walport, Mark Collins, Francis S. Am J Epidemiol Commentary Large prospective cohort studies are critical for identifying etiologic factors for disease, but they require substantial long-term research investment. Such studies can be conducted as multisite consortia of academic medical centers, combinations of smaller ongoing studies, or a single large site such as a dominant regional health-care provider. Still another strategy relies upon centralized conduct of most or all aspects, recruiting through multiple temporary assessment centers. This is the approach used by a large-scale national resource in the United Kingdom known as the “UK Biobank,” which completed recruitment/examination of 503,000 participants between 2007 and 2010 within budget and ahead of schedule. A key lesson from UK Biobank and similar studies is that large studies are not simply small studies made large but, rather, require fundamentally different approaches in which “process” expertise is as important as scientific rigor. Embedding recruitment in a structure that facilitates outcome determination, utilizing comprehensive and flexible information technology, automating biospecimen processing, ensuring broad consent, and establishing essentially autonomous leadership with appropriate oversight are all critical to success. Whether and how these approaches may be transportable to the United States remain to be explored, but their success in studies such as UK Biobank makes a compelling case for such explorations to begin. Oxford University Press 2012-05-01 2012-03-12 /pmc/articles/PMC3339313/ /pubmed/22411865 http://dx.doi.org/10.1093/aje/kwr453 Text en American Journal of Epidemiology Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2012. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Commentary
Manolio, Teri A.
Weis, Brenda K.
Cowie, Catherine C.
Hoover, Robert N.
Hudson, Kathy
Kramer, Barnett S.
Berg, Chris
Collins, Rory
Ewart, Wendy
Gaziano, J. Michael
Hirschfeld, Steven
Marcus, Pamela M.
Masys, Daniel
McCarty, Catherine A.
McLaughlin, John
Patel, Alpa V.
Peakman, Tim
Pedersen, Nancy L.
Schaefer, Catherine
Scott, Joan A.
Sprosen, Timothy
Walport, Mark
Collins, Francis S.
New Models for Large Prospective Studies: Is There a Better Way?
title New Models for Large Prospective Studies: Is There a Better Way?
title_full New Models for Large Prospective Studies: Is There a Better Way?
title_fullStr New Models for Large Prospective Studies: Is There a Better Way?
title_full_unstemmed New Models for Large Prospective Studies: Is There a Better Way?
title_short New Models for Large Prospective Studies: Is There a Better Way?
title_sort new models for large prospective studies: is there a better way?
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3339313/
https://www.ncbi.nlm.nih.gov/pubmed/22411865
http://dx.doi.org/10.1093/aje/kwr453
work_keys_str_mv AT manolioteria newmodelsforlargeprospectivestudiesisthereabetterway
AT weisbrendak newmodelsforlargeprospectivestudiesisthereabetterway
AT cowiecatherinec newmodelsforlargeprospectivestudiesisthereabetterway
AT hooverrobertn newmodelsforlargeprospectivestudiesisthereabetterway
AT hudsonkathy newmodelsforlargeprospectivestudiesisthereabetterway
AT kramerbarnetts newmodelsforlargeprospectivestudiesisthereabetterway
AT bergchris newmodelsforlargeprospectivestudiesisthereabetterway
AT collinsrory newmodelsforlargeprospectivestudiesisthereabetterway
AT ewartwendy newmodelsforlargeprospectivestudiesisthereabetterway
AT gazianojmichael newmodelsforlargeprospectivestudiesisthereabetterway
AT hirschfeldsteven newmodelsforlargeprospectivestudiesisthereabetterway
AT marcuspamelam newmodelsforlargeprospectivestudiesisthereabetterway
AT masysdaniel newmodelsforlargeprospectivestudiesisthereabetterway
AT mccartycatherinea newmodelsforlargeprospectivestudiesisthereabetterway
AT mclaughlinjohn newmodelsforlargeprospectivestudiesisthereabetterway
AT patelalpav newmodelsforlargeprospectivestudiesisthereabetterway
AT peakmantim newmodelsforlargeprospectivestudiesisthereabetterway
AT pedersennancyl newmodelsforlargeprospectivestudiesisthereabetterway
AT schaefercatherine newmodelsforlargeprospectivestudiesisthereabetterway
AT scottjoana newmodelsforlargeprospectivestudiesisthereabetterway
AT sprosentimothy newmodelsforlargeprospectivestudiesisthereabetterway
AT walportmark newmodelsforlargeprospectivestudiesisthereabetterway
AT collinsfranciss newmodelsforlargeprospectivestudiesisthereabetterway