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PubMed search filters for the study of putative outdoor air pollution determinants of disease
OBJECTIVES: Several PubMed search filters have been developed in contexts other than environmental. We aimed at identifying efficient PubMed search filters for the study of environmental determinants of diseases related to outdoor air pollution. METHODS: We compiled a list of Medical Subject Heading...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5223690/ https://www.ncbi.nlm.nih.gov/pubmed/28003291 http://dx.doi.org/10.1136/bmjopen-2016-013092 |
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author | Curti, Stefania Gori, Davide Di Gregori, Valentina Farioli, Andrea Baldasseroni, Alberto Fantini, Maria Pia Christiani, David C Violante, Francesco S Mattioli, Stefano |
author_facet | Curti, Stefania Gori, Davide Di Gregori, Valentina Farioli, Andrea Baldasseroni, Alberto Fantini, Maria Pia Christiani, David C Violante, Francesco S Mattioli, Stefano |
author_sort | Curti, Stefania |
collection | PubMed |
description | OBJECTIVES: Several PubMed search filters have been developed in contexts other than environmental. We aimed at identifying efficient PubMed search filters for the study of environmental determinants of diseases related to outdoor air pollution. METHODS: We compiled a list of Medical Subject Headings (MeSH) and non-MeSH terms seeming pertinent to outdoor air pollutants exposure as determinants of diseases in the general population. We estimated proportions of potentially pertinent articles to formulate two filters (one ‘more specific’, one ‘more sensitive’). Their overall performance was evaluated as compared with our gold standard derived from systematic reviews on diseases potentially related to outdoor air pollution. We tested these filters in the study of three diseases potentially associated with outdoor air pollution and calculated the number of needed to read (NNR) abstracts to identify one potentially pertinent article in the context of these diseases. Last searches were run in January 2016. RESULTS: The ‘more specific’ filter was based on the combination of terms that yielded a threshold of potentially pertinent articles ≥40%. The ‘more sensitive’ filter was based on the combination of all search terms under study. When compared with the gold standard, the ‘more specific’ filter reported the highest specificity (67.4%; with a sensitivity of 82.5%), while the ‘more sensitive’ one reported the highest sensitivity (98.5%; with a specificity of 47.9%). The NNR to find one potentially pertinent article was 1.9 for the ‘more specific’ filter and 3.3 for the ‘more sensitive’ one. CONCLUSIONS: The proposed search filters could help healthcare professionals investigate environmental determinants of medical conditions that could be potentially related to outdoor air pollution. |
format | Online Article Text |
id | pubmed-5223690 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-52236902017-01-13 PubMed search filters for the study of putative outdoor air pollution determinants of disease Curti, Stefania Gori, Davide Di Gregori, Valentina Farioli, Andrea Baldasseroni, Alberto Fantini, Maria Pia Christiani, David C Violante, Francesco S Mattioli, Stefano BMJ Open Occupational and Environmental Medicine OBJECTIVES: Several PubMed search filters have been developed in contexts other than environmental. We aimed at identifying efficient PubMed search filters for the study of environmental determinants of diseases related to outdoor air pollution. METHODS: We compiled a list of Medical Subject Headings (MeSH) and non-MeSH terms seeming pertinent to outdoor air pollutants exposure as determinants of diseases in the general population. We estimated proportions of potentially pertinent articles to formulate two filters (one ‘more specific’, one ‘more sensitive’). Their overall performance was evaluated as compared with our gold standard derived from systematic reviews on diseases potentially related to outdoor air pollution. We tested these filters in the study of three diseases potentially associated with outdoor air pollution and calculated the number of needed to read (NNR) abstracts to identify one potentially pertinent article in the context of these diseases. Last searches were run in January 2016. RESULTS: The ‘more specific’ filter was based on the combination of terms that yielded a threshold of potentially pertinent articles ≥40%. The ‘more sensitive’ filter was based on the combination of all search terms under study. When compared with the gold standard, the ‘more specific’ filter reported the highest specificity (67.4%; with a sensitivity of 82.5%), while the ‘more sensitive’ one reported the highest sensitivity (98.5%; with a specificity of 47.9%). The NNR to find one potentially pertinent article was 1.9 for the ‘more specific’ filter and 3.3 for the ‘more sensitive’ one. CONCLUSIONS: The proposed search filters could help healthcare professionals investigate environmental determinants of medical conditions that could be potentially related to outdoor air pollution. BMJ Publishing Group 2016-12-21 /pmc/articles/PMC5223690/ /pubmed/28003291 http://dx.doi.org/10.1136/bmjopen-2016-013092 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Occupational and Environmental Medicine Curti, Stefania Gori, Davide Di Gregori, Valentina Farioli, Andrea Baldasseroni, Alberto Fantini, Maria Pia Christiani, David C Violante, Francesco S Mattioli, Stefano PubMed search filters for the study of putative outdoor air pollution determinants of disease |
title | PubMed search filters for the study of putative outdoor air pollution determinants of disease |
title_full | PubMed search filters for the study of putative outdoor air pollution determinants of disease |
title_fullStr | PubMed search filters for the study of putative outdoor air pollution determinants of disease |
title_full_unstemmed | PubMed search filters for the study of putative outdoor air pollution determinants of disease |
title_short | PubMed search filters for the study of putative outdoor air pollution determinants of disease |
title_sort | pubmed search filters for the study of putative outdoor air pollution determinants of disease |
topic | Occupational and Environmental Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5223690/ https://www.ncbi.nlm.nih.gov/pubmed/28003291 http://dx.doi.org/10.1136/bmjopen-2016-013092 |
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