Evidence map›Paper›PMID 19737991›Full record

ReviewPhysiological genomics2009

Translational informatics: enabling high-throughput research paradigms.

Philip R O Payne, Peter J Embi, Chandan K Sen

Abstract readReview
In one paragraph

Review in Physiological genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–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

25 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Evaluating the Coverage of the HL7AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020
    Article
  7. Article
  8. DISCOVERY OF MOLECULARLY TARGETED THERAPIES.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2016
    Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Towards a "4I" approach to personalized healthcare.Clinical and translational medicine · 2012
    Article
  15. Clinical research informatics: a conceptual perspective.Journal of the American Medical Informatics Association : JAMIA · 2012
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Philip R O PayneDepartment of Biomedical Informatics, The Ohio State University, Columbus, Ohio 43210, USA. philip.payne@osumc.edu
Peter J Embi
Chandan K Sen

Funding

Tissue CoreP01CA081534 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KIPPS, THOMAS J · 2000 to 2016
$59.5M
University of Iowa Clinical and Translational Science Program (TL1)UL1RR025755 · NCRR · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2008 to 2011
$26.3M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR026314 · NCRR · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E. · 2009 to 2011
$14.3M
Cincinnati Center for Clinical and Translational Sciences and TrainingUL1TR000077 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E. · 2012 to 2014
$9.9M
Redox Control of Wound HealingR01GM069589 · NIGMS · OHIO STATE UNIVERSITY · PI SEN, CHANDAN K · 2004 to 2013
$2.3M
Tissue Oxygenation and Wound HealingR01GM077185 · NIGMS · OHIO STATE UNIVERSITY · PI SEN, CHANDAN K · 2007 to 2016
$2.3M
Oxygen Sensitive Signaling in Primary Cardiac FibroblastR01HL073087 · NHLBI · OHIO STATE UNIVERSITY · PI SEN, CHANDAN K · 2004 to 2007
$1.3M
Re-engineering the CRC Integrated Information Management SystemR01CA134232 · NCI · OHIO STATE UNIVERSITY · PI PAYNE, PHILIP R.O. · 2008 to 2011
$1.3M
Evaluating EHR-based, Point-of-Care Trial Recruitment Across Clinical SettingsR01LM009533 · NLM · UNIVERSITY OF CINCINNATI · PI EMBI, PETER J. · 2008 to 2010
$958k
NCATS NIH HHS UL1 TR000077NCI NIH HHS P01-CA-081534NCI NIH HHS R01-CA-134232NCRR NIH HHS UL1 RR025755NCRR NIH HHS UL1-RR-025755NCRR NIH HHS UL1-RR-026314NHLBI NIH HHS R01-HL-073087NIGMS NIH HHS R01-GM-069589NIGMS NIH HHS R01-GM-077185NLM NIH HHS R01-LM-009533
6 · The paper itself

Abstract

A common thread throughout the clinical and translational research domains is the need to collect, manage, integrate, analyze, and disseminate large-scale, heterogeneous biomedical data sets. However, well-established and broadly adopted theoretical and practical frameworks and models intended to address such needs are conspicuously absent in the published literature or other reputable knowledge sources. Instead, the development and execution of multidisciplinary, clinical, or translational studies are significantly limited by the propagation of "silos" of both data and expertise. Motivated by this fundamental challenge, we report upon the current state and evolution of biomedical informatics as it pertains to the conduct of high-throughput clinical and translational research and will present both a conceptual and practical framework for the design and execution of informatics-enabled studies. The objective of presenting such findings and constructs is to provide the clinical and translational research community with a common frame of reference for discussing and expanding upon such models and methodologies.

Indexed as

Biomedical ResearchClinical Trials as TopicHumansInformation DisseminationInformation Storage and RetrievalMedical InformaticsModels, TheoreticalTranslational Research, Biomedical

Identifiers

PMID19737991
PMCPMC2789669

What OpenQuestion holds

Textmetadata
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.