Evidence map›Paper›PMID 22411865›Full record

ArticleAmerican journal of epidemiology2012

New models for large prospective studies: is there a better way?

Teri A Manolio, Brenda K Weis, Catherine C Cowie, Robert N Hoover, Kathy Hudson, Barnett S Kramer, Chris Berg, Rory Collins, Wendy Ewart, J Michael Gaziano and 13 more

Abstract read
In one paragraph

Article in American journal of epidemiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

73 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Systematic review of 99 extremity bone malignancy survival prediction models.Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology · 2025
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Knowledge integration in cancer: current landscape and future prospects.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2013
    Pooled it
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Occupational demands associated with rotator cuff disease surgery in the UK Biobank.Scandinavian journal of work, environment & health · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. Physical work exposure matrix for use in the UK Biobank.Occupational medicine (Oxford, England) · 2022
    Article

13 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Teri A ManolioOffice of Population Genomics, National Human Genome Research Institute, Bethesda, Maryland, USA. manolio@nih.gov
Brenda K Weis
Catherine C Cowie
Robert N Hoover
Kathy Hudson
Barnett S Kramer
Chris Berg
Rory Collins
Wendy Ewart
J Michael Gaziano
Steven Hirschfeld
Pamela M Marcus
Daniel Masys
Catherine A McCarty
John McLaughlin
Alpa V Patel
Tim Peakman
Nancy L Pedersen
Catherine Schaefer
Joan A Scott
Timothy Sprosen
Mark Walport
Francis S Collins

Funding

Genetic analysis of type II diabetes in Finnish populationZIAHG000024 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ERDOS, MICHAEL · 2009 to 2025
$38.2M
Medical Research Council MC_QA137853Wellcome Trust
6 · The paper itself

Abstract

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.

Indexed as

Prospective StudiesHumansInformed ConsentPatient SelectionResearch Design

Identifiers

PMID22411865
PMCPMC3339313

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.