Evidence map›Paper›PMID 29845761›Full record

ArticlePhysiological reports2018

Modelling the effect of gravity on inert-gas washout outputs.

Brody H Foy, Sherif Gonem, Chris Brightling, Salman Siddiqui, David Kay

Abstract read
In one paragraph

Article in Physiological reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Image-based simulation and modeling: unlocking small airway function tests?Journal of applied physiology (Bethesda, Md. : 1985) · 2020
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Brody H FoyDepartment of Computer Science, University of Oxford, Oxford, Oxfordshire, United Kingdom.
Sherif GonemRespiratory Biomedical Research Centre, University of Leicester/National Institute of Health Research, Leicester, Leicestershire, United Kingdom.
Chris BrightlingRespiratory Biomedical Research Centre, University of Leicester/National Institute of Health Research, Leicester, Leicestershire, United Kingdom.
Salman SiddiquiRespiratory Biomedical Research Centre, University of Leicester/National Institute of Health Research, Leicester, Leicestershire, United Kingdom.
David KayDepartment of Computer Science, University of Oxford, Oxford, Oxfordshire, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple-breath washout (MBW) is a pulmonary function test (PFT) that is used to infer lung function through measurement of ventilation heterogeneity (VH). However, the body position that a test is taken in may also influence VH, due to the "Slinky" effect of gravity on the lungs. In healthy subjects this has minimal effect, but in unhealthy groups, PFT outputs have been seen to change drastically with body position. In this study, we used a combined computational and clinical approach to better understand the response of outputs from the MBW to body position. A patient-specific model of the MBW was developed, then validated against clinically measured washout data, as well as broader results in the literature. This model was then used to compare changes in MBW outputs with respect to body position, showing that output changes sensitively predict regional airway size differences between lobes. We then highlight cases in which body position effects may bias MBW outputs, leading to elevated or masked responses to bronchoconstriction. We close by placing this result in context with broader clinical practice, and showing how it can help improve interpretation of test outputs.

Indexed as

GravitationPulmonary VentilationBronchoconstrictionFemaleHumansLungMaleMiddle AgedModels, BiologicalNoble GasesRespiratory Function TestsNoble GasesBody positioncomputational modellinggravityInert-gas washoutpulmonary function testing

Identifiers

PMID29845761
PMCPMC5974727

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.