Dataset Information

Dataset of breath research manuscripts curated using PubMed search strings from 1995-2016.

ABSTRACT: The data contained in this article are PubMed search strings and search string builders used to curate breath research manuscripts published from 1995-2016 and the respective number of articles found that satisfied the search requirements for selected categories. Breath sampling represents a non-invasive technique that has gained usefulness for public health, clinical, diagnostic, and environmental exposure assessment applications over the years. This data article includes search strings that were utilized to retrieve publications through the PubMed database for different breath research-related topics that were related to the analysis of exhaled breath, exhaled breath condensate (EBC), and exhaled breath aerosol (EBA) as well as the analysis of cellular headspace. Manuscripts were curated for topics including EBC, EBA, Direct MS, GC-MS, LC-MS, alcohol, and sensors. A summary of the number of papers published per year for the data retrieved using each of the search strings is also included. These data can be utilized to discern trends in the number of breath research publications in each of the different topics over time. A supplementary Appendix A containing the titles, author lists, journal names, publication dates, PMID numbers, and EntrezUID numbers for each of the journal articles curated using the finalized search strings for the seven breath research-related topics can also be found within this article. The selected manuscripts can be used to explore the impact that breath research has had on expanding the scientific knowledge in each of the investigated topics.

SUBMITTER: Geer Wallace MA

PROVIDER: S-EPMC5998180 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Dataset of breath research manuscripts curated using PubMed search strings from 1995-2016.

Geer Wallace M Ariel MA Pleil Joachim D JD

Data in brief 20180502

The data contained in this article are PubMed search strings and search string builders used to curate breath research manuscripts published from 1995-2016 and the respective number of articles found that satisfied the search requirements for selected categories. Breath sampling represents a non-invasive technique that has gained usefulness for public health, clinical, diagnostic, and environmental exposure assessment applications over the years. This data article includes search strings that we ...[more]

PMID: 29904671

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Project description:BACKGROUND:Integrated care is an increasingly important principle for organising healthcare. Integrated care models show promise in reducing resource wastage and service fragmentation whilst improving the accessibility, patient-centredness and quality of care for patients. Those needing reliable access to the growing research evidence base for integrated care can be frustrated by search challenges reflective of the topic's complexity. The aim of this study is to report the empirical development and validation of two search filters for rapid and effective retrieval of integrated care evidence in PubMed. One filter is optimised for recall and the other for precision. METHODS:An Expert Advisory Group comprising international integrated care experts guided the study. A gold standard test set of citations was formed from screening Handbook Integrated Care chapter references for relevance. This set was divided into a Term Identification Set (20%) for determining candidate terms using frequency analysis; a Filter Development Set (40%) for testing performance of term combinations; and a Filter Validation Set (40%) reserved for confirming final filter performance. In developing the high recall filter, recall was steadily increased while maintaining precision at ?50%. Similarly, the high precision filter sought to maximise precision while keeping recall ?50%. For each term combination tested, an approximation of precision was obtained by reviewing the first 100 citations retrieved in Medline for relevance. RESULTS:The gold standard set comprised 534 citations. The search filter optimised for recall ('Broad Integrated Care Search') achieved 86.0-88.3% recall with corresponding low precision (47-53%). The search filter optimised for precise searching ('Narrow Integrated Care Search') demonstrated precision of 73-95% with recall reduced to between 55.9 and 59.8%. These filters are now available as one-click URL hyperlinks in the website of International Foundation for Integrated Care. CONCLUSIONS:The Broad and Narrow Integrated Care Search filters provide potential users, such as policy makers and researchers, seamless, reliable and ongoing access to integrated care evidence for decision making. These filters were developed according to a rigorous and transparent methodology designed to circumvent the challenges of information retrieval posed by this complex, multifaceted topic.

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Dataset Information

Dataset of breath research manuscripts curated using PubMed search strings from 1995-2016.

Publications

Dataset of breath research manuscripts curated using PubMed search strings from 1995-2016.

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