Evidence map›Paper›PMID 20525291›Full record

ArticleBMC bioinformatics2010

Saliva Ontology: an ontology-based framework for a Salivaomics Knowledge Base.

Jiye Ai, Barry Smith, David T Wong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

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

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Review
  7. Saliva diagnostics: Salivaomics, saliva exosomics, and saliva liquid biopsy.Journal of the American Dental Association (1939) · 2023
    Review
  8. Saliva Diagnostics.Annual review of analytical chemistry (Palo Alto, Calif.) · 2022
    Review
  9. Review
  10. Salivary biomarkers in oral squamous cell carcinoma.Journal of the Korean Association of Oral and Maxillofacial Surgeons · 2020
    Review
  11. Saliva and Oral Diseases.Journal of clinical medicine · 2020
    Review
  12. Review
  13. Article
  14. Salivary protease spectrum biomarkers of oral cancer.International journal of oral science · 2019
    Article
  15. Article
  16. Human Saliva Collection Devices for Proteomics: An Update.International journal of molecular sciences · 2016
    Review
  17. Non-coding RNAs in saliva: emerging biomarkers for molecular diagnostics.International journal of molecular sciences · 2015
    Review
  18. Review
  19. Article
  20. Bioinformatics advances in saliva diagnostics.International journal of oral science · 2012
    Review
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.

Jiye AiUniversity of California at Los Angeles School of Dentistry, University of California, Los Angeles, CA 90095-1668, USA.
Barry Smith
David T Wong

Funding

STANFORD COMPOSITE(RMI)U54HG004028 · NHGRI · STANFORD UNIVERSITY · PI MUSEN, MARK A · 2005 to 2014
$36.2M
Oral Fluid NanoSensor Test (OFNASET)U01DE017790 · NIDCR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WONG, DAVID T · 2006 to 2010
$7.3M
Human Salivary ProteomeU01DE016275 · NIDCR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WONG, DAVID T · 2004 to 2007
$5.5M
NHGRI NIH HHS U54 HG004028NHGRI NIH HHS U54HG004028NIDCR NIH HHS U01 DE016275NIDCR NIH HHS U01DE016275NIDCR NIH HHS U01 DE017790NIDCR NIH HHS U01DE017790
6 · The paper itself

Abstract

backgroundThe Salivaomics Knowledge Base (SKB) is designed to serve as a computational infrastructure that can permit global exploration and utilization of data and information relevant to salivaomics. SKB is created by aligning (1) the saliva biomarker discovery and validation resources at UCLA with (2) the ontology resources developed by the OBO (Open Biomedical Ontologies) Foundry, including a new Saliva Ontology (SALO).

resultsWe define the Saliva Ontology (SALO; http://www.skb.ucla.edu/SALO/) as a consensus-based controlled vocabulary of terms and relations dedicated to the salivaomics domain and to saliva-related diagnostics following the principles of the OBO (Open Biomedical Ontologies) Foundry.

conclusionsThe Saliva Ontology is an ongoing exploratory initiative. The ontology will be used to facilitate salivaomics data retrieval and integration across multiple fields of research together with data analysis and data mining. The ontology will be tested through its ability to serve the annotation ('tagging') of a representative corpus of salivaomics research literature that is to be incorporated into the SKB.

Indexed as

SoftwareBiomarkersData MiningKnowledge BasesSalivaSemanticsVocabulary, ControlledBiomarkers

Identifiers

PMID20525291
PMCPMC2898059

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.