Development of a Geographic Filter for PubMed to Identify Studies Performed in Spain.
INTRODUCTION AND OBJECTIVES: The increasing size of the PubMed (Medline) database has made it necessary to develop specific tools for information retrieval (i.e., filters). The current configuration of the Limits option in PubMed does not enable searches to be limited according to geographic criteri...
| Main Authors: | , , , , |
|---|---|
| Format: | Journal article |
| Language: | English |
| Published: |
2006
|
| _version_ | 1797102704300916736 |
|---|---|
| author | Valderas, J Mendivil, J Parada, A Losada-Yáñez, M Alonso, J |
| author_facet | Valderas, J Mendivil, J Parada, A Losada-Yáñez, M Alonso, J |
| author_sort | Valderas, J |
| collection | OXFORD |
| description | INTRODUCTION AND OBJECTIVES: The increasing size of the PubMed (Medline) database has made it necessary to develop specific tools for information retrieval (i.e., filters). The current configuration of the Limits option in PubMed does not enable searches to be limited according to geographic criteria. Our objectives, therefore, were a) to develop a geographic filter for the retrieval from PubMed of studies performed in the Spanish population, and b) to assess its performance. METHODS: A second-generation filter was constructed by reviewing previous strategies. It involved the selection of three types of record that included: a) the term Spain in different languages; b) Spanish place names (i.e., mainly those of autonomous regions and provinces), and c) acronyms for health services in autonomous regions. The performance of the filter (i.e., its sensitivity and specificity) was assessed in a convenience sample (i.e., clinical trials indexed in PubMed under the MeSH term Myocardial Infarction) by comparison with the results of a manual search (the gold standard). In addition, the filter's performance was also evaluated by comparing it with a simple search for the term Spain[ad]. RESULTS: Use of the filter retrieved 74 (98.7%) of the relevant references. The sensitivity (88.1%) was higher than that of the simple search strategy (45.8%), and excellent specificity (100%) was achieved in both cases. CONCLUSIONS: An efficient geographic filter has been developed for identifying studies in PubMed that involve the Spanish population. |
| first_indexed | 2024-03-07T06:09:34Z |
| format | Journal article |
| id | oxford-uuid:ef0286f1-fb47-4373-94d5-0a3f3649bd3e |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T06:09:34Z |
| publishDate | 2006 |
| record_format | dspace |
| spelling | oxford-uuid:ef0286f1-fb47-4373-94d5-0a3f3649bd3e2022-03-27T11:37:07ZDevelopment of a Geographic Filter for PubMed to Identify Studies Performed in Spain.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:ef0286f1-fb47-4373-94d5-0a3f3649bd3eEnglishSymplectic Elements at Oxford2006Valderas, JMendivil, JParada, ALosada-Yáñez, MAlonso, JINTRODUCTION AND OBJECTIVES: The increasing size of the PubMed (Medline) database has made it necessary to develop specific tools for information retrieval (i.e., filters). The current configuration of the Limits option in PubMed does not enable searches to be limited according to geographic criteria. Our objectives, therefore, were a) to develop a geographic filter for the retrieval from PubMed of studies performed in the Spanish population, and b) to assess its performance. METHODS: A second-generation filter was constructed by reviewing previous strategies. It involved the selection of three types of record that included: a) the term Spain in different languages; b) Spanish place names (i.e., mainly those of autonomous regions and provinces), and c) acronyms for health services in autonomous regions. The performance of the filter (i.e., its sensitivity and specificity) was assessed in a convenience sample (i.e., clinical trials indexed in PubMed under the MeSH term Myocardial Infarction) by comparison with the results of a manual search (the gold standard). In addition, the filter's performance was also evaluated by comparing it with a simple search for the term Spain[ad]. RESULTS: Use of the filter retrieved 74 (98.7%) of the relevant references. The sensitivity (88.1%) was higher than that of the simple search strategy (45.8%), and excellent specificity (100%) was achieved in both cases. CONCLUSIONS: An efficient geographic filter has been developed for identifying studies in PubMed that involve the Spanish population. |
| spellingShingle | Valderas, J Mendivil, J Parada, A Losada-Yáñez, M Alonso, J Development of a Geographic Filter for PubMed to Identify Studies Performed in Spain. |
| title | Development of a Geographic Filter for PubMed to Identify Studies Performed in Spain. |
| title_full | Development of a Geographic Filter for PubMed to Identify Studies Performed in Spain. |
| title_fullStr | Development of a Geographic Filter for PubMed to Identify Studies Performed in Spain. |
| title_full_unstemmed | Development of a Geographic Filter for PubMed to Identify Studies Performed in Spain. |
| title_short | Development of a Geographic Filter for PubMed to Identify Studies Performed in Spain. |
| title_sort | development of a geographic filter for pubmed to identify studies performed in spain |
| work_keys_str_mv | AT valderasj developmentofageographicfilterforpubmedtoidentifystudiesperformedinspain AT mendivilj developmentofageographicfilterforpubmedtoidentifystudiesperformedinspain AT paradaa developmentofageographicfilterforpubmedtoidentifystudiesperformedinspain AT losadayanezm developmentofageographicfilterforpubmedtoidentifystudiesperformedinspain AT alonsoj developmentofageographicfilterforpubmedtoidentifystudiesperformedinspain |