The DOI matches its Crossref record; 278 of the 278 references it cites were found in a registry or an index.
A European Respiratory Society technical standard: exhaled biomarkers in lung disease
Open accessAbstract
Breath tests cover the fraction of nitric oxide in expired gas (FENO), volatile organic compounds (VOCs), variables in exhaled breath condensate (EBC) and other measurements. For EBC and for FENO, official recommendations for standardised procedures are more than 10 years old and there is none for exhaled VOCs and particles. The aim of this document is to provide technical standards and recommendations for sample collection and analytic approaches and to highlight future research priorities in the field. For EBC and FENO, new developments and advances in technology have been evaluated in the current document. This report is not intended to provide clinical guidance on disease diagnosis and management. Clinicians and researchers with expertise in exhaled biomarkers were invited to participate. Published studies regarding methodology of breath tests were selected, discussed and evaluated in a consensus-based manner by the Task Force members. Recommendations for standardisation of sampling, analysing and reporting of data and suggestions for research to cover gaps in the evidence have been created and summarised. Application of breath biomarker measurement in a standardised manner will provide comparable results, thereby facilitating the potential use of these biomarkers in clinical practice.
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Self-citationGeneral considerations for lung function testing
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Exhaled Particles and Small Airways
Bake, B., Larsson, P., Ljungkvist, G., Ljungström, E., & Olin, A.-C. (2019) · Respiratory Research · doi:10.1186/s12931-019-0970-9 · Cited by 218
Self-citationElectronic nose: a non-invasive technology for breath analysis of diabetes and lung cancer patients
Behera, B., Joshi, R., Anil Vishnu, G. K., Bhalerao, S., & Pandya, H. J. (2019) · Journal of Breath Research · doi:10.1088/1752-7163/aafc77 · Cited by 179
Peel, A. M., Wilkinson, M., Sinha, A., Loke, Y. K., Fowler, S. J., & Wilson, A. M. (2020) · Respiratory Medicine · doi:10.1016/j.rmed.2020.105984 · Cited by 40
Self-citationJouyban, A., Farajzadeh, M. A., Khoubnasabjafari, M., Jouyban-Gharamaleki, V., & Afshar Mogaddam, M. R. (2019) · Analytical Methods · doi:10.1039/c8ay02279h · Cited by 24
Barucha, A., Mauch, R. M., Duckstein, F., Zagoya, C., & Mainz, J. G. (2022) · Expert Review of Respiratory Medicine · doi:10.1080/17476348.2022.2104249 · Cited by 6
Metadata
- Authors
- Horváth, I., Barnes, P. J., Loukides, S., Sterk, P. J., Högman, M., Olin, A.-C., Amann, A., Antus, B., Baraldi, E., Bikov, A., Boots, A. W., Bos, L. D., Brinkman, P., Bucca, C., Carpagnano, G. E., Corradi, M., Cristescu, S., de Jongste, J. C., Dinh-Xuan, A.-T., Dompeling, E., Fens, N., Fowler, S., Hohlfeld, J. M., Holz, O., Jöbsis, Q., Van De Kant, K., Knobel, H. H., Kostikas, K., Lehtimäki, L., Lundberg, J. O., Montuschi, P., Van Muylem, A., Pennazza, G., Reinhold, P., Ricciardolo, F. L. M., Rosias, P., Santonico, M., van der Schee, M. P., van Schooten, F.-J., Spanevello, A., Tonia, T., & Vink, T. J.
- Venue
- European Respiratory Journal
- Publisher
- European Respiratory Society (ERS)
- Published
- 2017-04
- Volume
- 49
- Issue
- 4
- Pages
- 1600965
- ISSN
- 0903-1936 (ISSN-L)
- 1399-3003
- OpenAlex
- W2611091259
- Cited by
- 638
- References
- 278
- FWCI
- 28.52
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Horváth, I., Barnes, P. J., Loukides, S., Sterk, P. J., Högman, M., Olin, A.-C., Amann, A., Antus, B., Baraldi, E., Bikov, A., Boots, A. W., Bos, L. D., Brinkman, P., Bucca, C., Carpagnano, G. E., Corradi, M., Cristescu, S., de Jongste, J. C., Dinh-Xuan, A.-T., . . . Vink, T. J. (2017). A European Respiratory Society technical standard: exhaled biomarkers in lung disease. European Respiratory Journal. https://doi.org/10.1183/13993003.00965-2016
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
