Evidence map›Paper›PMID 29074714›Full record

Trial reportJournal of applied physiology (Bethesda, Md. : 1985)2018

Potential for noninvasive assessment of lung inhomogeneity using highly precise, highly time-resolved measurements of gas exchange.

James E Mountain, Peter Santer, David P O'Neill, Nicholas M J Smith, Luca Ciaffoni, John H Couper, Grant A D Ritchie, Gus Hancock, Jonathan P Whiteley, Peter A Robbins

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in Journal of applied physiology (Bethesda, Md. : 1985), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05531253 (An Observational Study of the Relationship Between Respired Gases, Mixed Venous Oxygen Content and Cardiac Output in Mechanically Ventilated Patients Post Cardiac Surgery), which is not on this map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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.

NCT05531253 completednot on this mapstarted 2022, after this paper: background citation

An Observational Study of the Relationship Between Respired Gases, Mixed Venous Oxygen Content and Cardiac Output in Mechanically Ventilated Patients Post Cardiac Surgery

TypeobservationalSponsorUniversity of OxfordRan2022 to 2025Enrolled25ConditionsCritically Ill, Cardiac Disease, Mitral Valve DiseaseArmsData collection using the Optical Gas Analyser
3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Computed cardiopulmonography and the idealized lung clearance index, iLCIJournal of applied physiology (Bethesda, Md. : 1985) · 2023
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Bedside monitoring of lung volume available for gas exchange.Intensive care medicine experimental · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

10 authors.

James E MountainDepartment of Physiology, Anatomy and Genetics, University of Oxford , Oxford , United Kingdom.
Peter SanterDepartment of Physiology, Anatomy and Genetics, University of Oxford , Oxford , United Kingdom.
David P O'NeillDepartment of Physiology, Anatomy and Genetics, University of Oxford , Oxford , United Kingdom.
Nicholas M J SmithDepartment of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford , Oxford , United Kingdom.
Luca CiaffoniDepartment of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford , Oxford , United Kingdom.
John H CouperDepartment of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford , Oxford , United Kingdom.
Grant A D RitchieDepartment of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford , Oxford , United Kingdom.
Gus HancockDepartment of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford , Oxford , United Kingdom.
Jonathan P WhiteleyDepartment of Computer Science, University of Oxford , Oxford , United Kingdom.
Peter A RobbinsDepartment of Physiology, Anatomy and Genetics, University of Oxford , Oxford , United Kingdom.ORCID 0000-0002-4975-0609

Funding

Department of HealthMedical Research Council MC_PC_15029
6 · The paper itself

Abstract

Inhomogeneity in the lung impairs gas exchange and can be an early marker of lung disease. We hypothesized that highly precise measurements of gas exchange contain sufficient information to quantify many aspects of the inhomogeneity noninvasively. Our aim was to explore whether one parameterization of lung inhomogeneity could both fit such data and provide reliable parameter estimates. A mathematical model of gas exchange in an inhomogeneous lung was developed, containing inhomogeneity parameters for compliance, vascular conductance, and dead space, all relative to lung volume. Inputs were respiratory flow, cardiac output, and the inspiratory and pulmonary arterial gas compositions. Outputs were expiratory and pulmonary venous gas compositions. All values were specified every 10 ms. Some parameters were set to physiologically plausible values. To estimate the remaining unknown parameters and inputs, the model was embedded within a nonlinear estimation routine to minimize the deviations between model and data for CO

Indexed as

Models, BiologicalPulmonary Gas ExchangeAdultAgedAged, 80 and overBreath TestsFemaleHumansLungMalePulmonary Disease, Chronic ObstructiveRespiratory Function TestsYoung Adultdead spacelung compliancelung vascular conductancerespiratory function testsventilation-perfusion ratio

Identifiers

PMID29074714
PMCPMC5899273

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.