The prevalence of gas exchange data processing methods: a semi-automated scoping review.
Cardiopulmonary exercise testing involves collecting variable breath-by-breath data and sometimes requiring data processing of outlier removal, interpolation, and averaging before later analysis. These data processing choices, such as averaging duration, affect calculated values such as ˙VO2 max. Ho...
| Publicado en: | International Journal of Sports Medicine Vol. 46; no. 4; pp. 227 - 237 |
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| Autores principales: | , , |
| Formato: | research systematic review tables/charts Journal Article |
| Publicado: |
Georg Thieme Verlag Stuttgart
Apr2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=184177741&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 184177741 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01724622 NH4 jtl: International Journal of Sports Medicine issn: 01724622 maglogo: N pubinfo: dt: Apr2025 vid: 46 iid: 4 pid: 4536 pub: Georg Thieme Verlag Stuttgart artinfo: ui: 184177741 184177741 184177741 10.1055/a-2495-5364 184177741 ppf: 227 ppct: 10 formats: tig: atl: The prevalence of gas exchange data processing methods: a semi-automated scoping review. aug: au: Hesse, Anton White, Manix Lundstrom, Christopher affil: Department of Kinesiology University of Minnesota Twin Cities, USA sug: subj: Pulmonary Gas Exchange Computing Methodologies Exercise Test, Cardiopulmonary Aerobic Capacity Human Scoping Review Medline PubMed Reproducibility of Results Descriptive Statistics Confidence Intervals Oxygen Consumption ab: Cardiopulmonary exercise testing involves collecting variable breath-by-breath data and sometimes requiring data processing of outlier removal, interpolation, and averaging before later analysis. These data processing choices, such as averaging duration, affect calculated values such as ˙VO2 max. However, assessing the implications of data processing without knowing popular methods worth comparing is difficult. In addition, such details aid study reproduction. We conducted a semi-automated scoping review of articles with exercise testing that collected data breath-by-breath from three databases. Of the 8,344 articles, 376 (mean: 4.5% and 95% confidence interval: 4.1–5.0%) and 581 (mean: 7.0% and 95% confidence interval: 6.4–7.5%) described outlier removal and interpolation, respectively. A random subset of 1,078 articles revealed (mean: 60.9% and 95% confidence interval: 57.9–63.7%) the reported averaging methods. The commonly documented outlier cutoffs were±3 or 4 SD (39.1 and 51.6%, respectively). The dominating interpolation duration and procedure were 1 s (93.9%) and linear interpolation (92.5%). Averaging methods commonly described were 30 (30.9%), 60 (12.4%), 15 (11.6%), 10 (11.0%), and 20 (8.1%) second bin averages. This shows that studies collecting breath-by-breath data often lack detailed descriptions of data processing methods, particularly for outlier removal and interpolation. While averaging methods are more commonly reported, improved documentation across all processing steps will enhance reproducibility and facilitate future research comparing data processing choices. pubtype: Academic Journal doctype: research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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