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Center of Excellence in Research Reporting in Neurosurgery - Diagnostic Ontology
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 b...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3351462/ https://www.ncbi.nlm.nih.gov/pubmed/22629329 http://dx.doi.org/10.1371/journal.pone.0036759 |
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author | Zaveri, Amrapali Shah, Jatin Pradhan, Shreyasee Rodrigues, Clarissa Barros, Jacson Ang, Beng Ti Pietrobon, Ricardo |
author_facet | Zaveri, Amrapali Shah, Jatin Pradhan, Shreyasee Rodrigues, Clarissa Barros, Jacson Ang, Beng Ti Pietrobon, Ricardo |
author_sort | Zaveri, Amrapali |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3351462 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-33514622012-05-24 Center of Excellence in Research Reporting in Neurosurgery - Diagnostic Ontology Zaveri, Amrapali Shah, Jatin Pradhan, Shreyasee Rodrigues, Clarissa Barros, Jacson Ang, Beng Ti Pietrobon, Ricardo PLoS One Research Article 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. Public Library of Science 2012-05-14 /pmc/articles/PMC3351462/ /pubmed/22629329 http://dx.doi.org/10.1371/journal.pone.0036759 Text en Zaveri et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Zaveri, Amrapali Shah, Jatin Pradhan, Shreyasee Rodrigues, Clarissa Barros, Jacson Ang, Beng Ti Pietrobon, Ricardo Center of Excellence in Research Reporting in Neurosurgery - Diagnostic Ontology |
title | Center of Excellence in Research Reporting in Neurosurgery - Diagnostic Ontology |
title_full | Center of Excellence in Research Reporting in Neurosurgery - Diagnostic Ontology |
title_fullStr | Center of Excellence in Research Reporting in Neurosurgery - Diagnostic Ontology |
title_full_unstemmed | Center of Excellence in Research Reporting in Neurosurgery - Diagnostic Ontology |
title_short | Center of Excellence in Research Reporting in Neurosurgery - Diagnostic Ontology |
title_sort | center of excellence in research reporting in neurosurgery - diagnostic ontology |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3351462/ https://www.ncbi.nlm.nih.gov/pubmed/22629329 http://dx.doi.org/10.1371/journal.pone.0036759 |
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