Evidence map›Paper›PMID 18998958›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2008

Supporting the design of translational clinical studies through the generation and verification of conceptual knowledge-anchored hypotheses.

Philip R O Payne, Philip Richard Orrin Payne, Tara B Borlawsky, Tara Borlawsky, Alan Kwok, Andrew W Greaves, Andrew Greaves

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Chapter 1: Biomedical knowledge integration.PLoS computational biology · 2012
    Article
  6. The TOKEn project: knowledge synthesis for in silico science.Journal of the American Medical Informatics Association : JAMIA · 2011
    Article
  7. Article
  8. Article
  9. Article
  10. Translational research queries, fascia research congress sequels, and beyond....International journal of therapeutic massage & bodywork · 2010
    Article
  11. Article
  12. Review
  13. Article
  14. 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

7 authors.

Philip R O PayneThe Ohio State University, Department of Biomedical Informatics, Columbus, OH, USA.
Philip Richard Orrin Payne
Tara B Borlawsky
Tara Borlawsky
Alan Kwok
Andrew W Greaves
Andrew Greaves

Funding

University of Iowa Clinical and Translational Science Program (TL1)UL1RR025755 · NCRR · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2008 to 2011
$26.3M
NCI NIH HHS 2P01CA08153NCRR NIH HHS UL1 RR025755
6 · The paper itself

Abstract

The ability to generate hypotheses based upon the contents of large-scale, heterogeneous data sets is critical to the design of translational clinical studies. In previous reports, we have described the application of a conceptual knowledge engineering technique, known as constructive induction (CI) in order to satisfy such needs. However, one of the major limitations of this method is the need to engage multiple subject matter experts to verify potential hypotheses generated using CI. In this manuscript, we describe an alternative verification technique that leverages published biomedical literature abstracts. Our report will be framed in the context of an ongoing project to generate hypotheses related to the contents of a translational research data repository maintained by the CLL Research Consortium. Such hypotheses will are intended to inform the design of prospective clinical studies that can elucidate the relationships that may exist between biomarkers and patient phenotypes.

Indexed as

Health Knowledge, Attitudes, PracticeClinical Trials as TopicEvidence-Based MedicineOhioTranslational Research, Biomedical

Identifiers

PMID18998958
PMCPMC2656058

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.