Evidence map›Paper›PMID 18660883›Full record

ReviewYearbook of medical informatics2008

Accessing and integrating data and knowledge for biomedical research.

A Burgun, O Bodenreider

Abstract readReview
In one paragraph

Review in Yearbook of medical informatics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Immune modulators in disease: integrating knowledge from the biomedical literature and gene expression.Journal of the American Medical Informatics Association : JAMIA · 2016
    Article
  7. Article
  8. Article
  9. Article
  10. Linked data and online classifications to organise mined patterns in patient data.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2013
    Article
  11. Article
  12. Article
  13. Article
  14. The TOKEn project: knowledge synthesis for in silico science.Journal of the American Medical Informatics Association : JAMIA · 2011
    Article
  15. Article
  16. Article
  17. Article
  18. NeuroLOG: sharing neuroimaging data using an ontology-based federated approach.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2011
    Article
  19. Article
  20. Integrating heterogeneous knowledge sources to acquire executable drug-related knowledge.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2010
    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

2 authors.

A BurgunDépartement d'Information Médicale, CHU Pontchaillou, rue Henri Le Guilloux, F-35033 Rennes Cedex, France. anita.burgun-parenthoine@univ-rennes1.fr
O Bodenreider

Funding

Intramural NIH HHS Z99 LM999999
6 · The paper itself

Abstract

objectivesTo review the issues that have arisen with the advent of translational research in terms of integration of data and knowledge, and survey current efforts to address these issues.

methodsUsing examples form the biomedical literature, we identified new trends in biomedical research and their impact on bioinformatics. We analyzed the requirements for effective knowledge repositories and studied issues in the integration of biomedical knowledge.

resultsNew diagnostic and therapeutic approaches based on gene expression patterns have brought about new issues in the statistical analysis of data, and new workflows are needed are needed to support translational research. Interoperable data repositories based on standard annotations, infrastructures and services are needed to support the pooling and meta-analysis of data, as well as their comparison to earlier experiments. High-quality, integrated ontologies and knowledge bases serve as a source of prior knowledge used in combination with traditional data mining techniques and contribute to the development of more effective data analysis strategies.

conclusionAs biomedical research evolves from traditional clinical and biological investigations towards omics sciences and translational research, specific needs have emerged, including integrating data collected in research studies with patient clinical data, linking omics knowledge with medical knowledge, modeling the molecular basis of diseases, and developing tools that support in-depth analysis of research data. As such, translational research illustrates the need to bridge the gap between bioinformatics and medical informatics, and opens new avenues for biomedical informatics research.

Indexed as

Biomedical ResearchComputational BiologyComputer Communication NetworksDatabases as TopicInformation ManagementMedical Informatics ApplicationsSystems IntegrationVocabulary, Controlled

Identifiers

PMID18660883
PMCPMC2553094

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.