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Center of excellence in research reporting in neurosurgery--diagnostic ontology.

Zaveri A, Shah J, Pradhan S, Rodrigues C, Barros J, Ang BT, Pietrobon R - PLoS ONE (2012)

Bottom Line: Additionally, there is no central repository for storing and retrieving related articles.SR-MA are studies that aggregate several studies to come to one conclusion for a particular research question.We also report high percentage of agreement among five observers as a result of the interobserver agreement test that we conducted among them to annotate 13 articles using the diagnostic ontology.

View Article: PubMed Central - PubMed

Affiliation: Universität Leipzig, Institut für Informatik, Leipzig, Saxony, Germany.

ABSTRACT

Motivation: Evidence-based medicine (EBM), in the field of neurosurgery, relies on diagnostic studies since Randomized Controlled Trials (RCTs) are uncommon. However, diagnostic study reporting is less standardized which increases the difficulty in reliably aggregating results. Although there have been several initiatives to standardize reporting, they have shown to be sub-optimal. Additionally, there is no central repository for storing and retrieving related articles.

Results: In our approach we formulate a computational diagnostic ontology containing 91 elements, including classes and sub-classes, which are required to conduct Systematic Reviews-Meta Analysis (SR-MA) for diagnostic studies, which will assist in standardized reporting of diagnostic articles. SR-MA are studies that aggregate several studies to come to one conclusion for a particular research question. We also report high percentage of agreement among five observers as a result of the interobserver agreement test that we conducted among them to annotate 13 articles using the diagnostic ontology. Moreover, we extend our existing repository CERR-N to include diagnostic studies.

Availability: The ontology is available for download as an.owl file at: http://bioportal.bioontology.org/ontologies/3013.

Show MeSH
Hierarchy of classes present in the diagnostic ontology.
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Related In: Results  -  Collection


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pone-0036759-g002: Hierarchy of classes present in the diagnostic ontology.

Mentions: In our approach, we used the standard ontology engineering steps to design the ontology [20], [7], [8]. In particular, we first re-used the RCT ontology by analyzing and omitting classes not required for SR-MA of diagnostic studies. Subsequently, we added classes that were essential for diagnostic studies. We not only sought the opinion of experts in diagnostic studies regarding the classes of the ontology but also cross checked published material to ensure the completeness of the ontology. Thereafter, we resolved inconsistencies that were encountered during tests. As an effort to validate the usefulness of the ontology, we calculated the interobserver agreement between five observers who tagged 13 articles with the ontology. Figure 2 illustrates the steps that we followed while designing the diagnostic ontology.


Center of excellence in research reporting in neurosurgery--diagnostic ontology.

Zaveri A, Shah J, Pradhan S, Rodrigues C, Barros J, Ang BT, Pietrobon R - PLoS ONE (2012)

Hierarchy of classes present in the diagnostic ontology.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3351462&req=5

pone-0036759-g002: Hierarchy of classes present in the diagnostic ontology.
Mentions: In our approach, we used the standard ontology engineering steps to design the ontology [20], [7], [8]. In particular, we first re-used the RCT ontology by analyzing and omitting classes not required for SR-MA of diagnostic studies. Subsequently, we added classes that were essential for diagnostic studies. We not only sought the opinion of experts in diagnostic studies regarding the classes of the ontology but also cross checked published material to ensure the completeness of the ontology. Thereafter, we resolved inconsistencies that were encountered during tests. As an effort to validate the usefulness of the ontology, we calculated the interobserver agreement between five observers who tagged 13 articles with the ontology. Figure 2 illustrates the steps that we followed while designing the diagnostic ontology.

Bottom Line: Additionally, there is no central repository for storing and retrieving related articles.SR-MA are studies that aggregate several studies to come to one conclusion for a particular research question.We also report high percentage of agreement among five observers as a result of the interobserver agreement test that we conducted among them to annotate 13 articles using the diagnostic ontology.

View Article: PubMed Central - PubMed

Affiliation: Universität Leipzig, Institut für Informatik, Leipzig, Saxony, Germany.

ABSTRACT

Motivation: Evidence-based medicine (EBM), in the field of neurosurgery, relies on diagnostic studies since Randomized Controlled Trials (RCTs) are uncommon. However, diagnostic study reporting is less standardized which increases the difficulty in reliably aggregating results. Although there have been several initiatives to standardize reporting, they have shown to be sub-optimal. Additionally, there is no central repository for storing and retrieving related articles.

Results: In our approach we formulate a computational diagnostic ontology containing 91 elements, including classes and sub-classes, which are required to conduct Systematic Reviews-Meta Analysis (SR-MA) for diagnostic studies, which will assist in standardized reporting of diagnostic articles. SR-MA are studies that aggregate several studies to come to one conclusion for a particular research question. We also report high percentage of agreement among five observers as a result of the interobserver agreement test that we conducted among them to annotate 13 articles using the diagnostic ontology. Moreover, we extend our existing repository CERR-N to include diagnostic studies.

Availability: The ontology is available for download as an.owl file at: http://bioportal.bioontology.org/ontologies/3013.

Show MeSH