Evidence map›Paper›PMID 19208190›Full record

ArticleBMC bioinformatics2009

Ontology driven integration platform for clinical and translational research.

Parsa Mirhaji, Min Zhu, Mattew Vagnoni, Elmer V Bernstam, Jiajie Zhang, Jack W Smith

Abstract read
In one paragraph

Article in BMC bioinformatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Biomedical informatics and translational medicine.Journal of translational medicine · 2010
    Review
  7. 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

6 authors.

Parsa MirhajiThe University of Texas Health Science Center at Houston, Houston, Texas, USA. Parsa.Mirhaji@uth.tmc.edu
Min Zhu
Mattew Vagnoni
Elmer V Bernstam
Jiajie Zhang
Jack W Smith

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Semantic Web technologies offer a promising framework for integration of disparate biomedical data. In this paper we present the semantic information integration platform under development at the Center for Clinical and Translational Sciences (CCTS) at the University of Texas Health Science Center at Houston (UTHSC-H) as part of our Clinical and Translational Science Award (CTSA) program. We utilize the Semantic Web technologies not only for integrating, repurposing and classification of multi-source clinical data, but also to construct a distributed environment for information sharing, and collaboration online. Service Oriented Architecture (SOA) is used to modularize and distribute reusable services in a dynamic and distributed environment. Components of the semantic solution and its overall architecture are described.

Indexed as

Biomedical ResearchVocabulary, ControlledComputational BiologyDatabase Management SystemsInformation Storage and RetrievalInternetMedical InformaticsSoftwareSystems IntegrationUser-Computer Interface

Identifiers

PMID19208190
PMCPMC2646248

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.