Evidence map›Paper›PMID 16803617›Full record

ArticleBMC bioinformatics2006

The Autoimmune Disease Database: a dynamically compiled literature-derived database.

Thomas Karopka, Juliane Fluck, Heinz-Theodor Mevissen, Anne Glass

Abstract readComparative Study
In one paragraph

Article in BMC bioinformatics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Regulatory NK cells in autoimmune disease.Iranian journal of basic medical sciences · 2023
    Review
  6. A transcriptome atlas and interactive analysis platform for autoimmune disease.Database : the journal of biological databases and curation · 2022
    Article
  7. Review
  8. GAAD: A Gene and Autoimmiune Disease Association Database.Genomics, proteomics & bioinformatics · 2018
    Article
  9. Protein-protein interaction networks (PPI) and complex diseases.Gastroenterology and hepatology from bed to bench · 2014
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

4 authors.

Thomas KaropkaInstitute for Medical Informatics and Biometry, University of Rostock, Rembrandt-Str, 16/17, 18055 Rostock, Germany. thomas.karopka@uni-rostock.de
Juliane Fluck
Heinz-Theodor Mevissen
Anne Glass

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutoimmune diseases are disorders caused by an immune response directed against the body's own organs, tissues and cells. In practice more than 80 clinically distinct diseases, among them systemic lupus erythematosus and rheumatoid arthritis, are classified as autoimmune diseases. Although their etiology is unclear these diseases share certain similarities at the molecular level i.e. susceptibility regions on the chromosomes or the involvement of common genes. To gain an overview of these related diseases it is not feasible to do a literary review but it requires methods of automated analyses of the more than 500,000 Medline documents related to autoimmune disorders.

resultsIn this paper we present the first version of the Autoimmune Disease Database which to our knowledge is the first comprehensive literature-based database covering all known or suspected autoimmune diseases. This dynamically compiled database allows researchers to link autoimmune diseases to the candidate genes or proteins through the use of named entity recognition which identifies genes/proteins in the corresponding Medline abstracts. The Autoimmune Disease Database covers 103 autoimmune disease concepts. This list was expanded to include synonyms and spelling variants yielding a list of over 1,200 disease names. The current version of the database provides links to 541,690 abstracts and over 5,000 unique genes/proteins.

conclusionThe Autoimmune Disease Database provides the researcher with a tool to navigate potential gene-disease relationships in Medline abstracts in the context of autoimmune diseases.

Indexed as

Autoimmune DiseasesDatabases, FactualDatabases, GeneticEvaluation Studies as TopicHumansInternetMedical Subject HeadingsMEDLINESystems IntegrationUser-Computer InterfaceVocabulary, Controlled

Identifiers

PMID16803617
PMCPMC1525205

What OpenQuestion holds

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LicenceCC BY
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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.