Evidence map›Paper›PMID 22691447›Full record

ArticleRespiratory physiology & neurobiology2012

Constant-phase descriptions of canine lung, chest wall, and total respiratory system viscoelasticity: effects of distending pressure.

David W Kaczka, Jennifer L Smallwood

Abstract read
In one paragraph

Article in Respiratory physiology & neurobiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Strain, strain rate, and mechanical power: An optimization comparison for oscillatory ventilation.International journal for numerical methods in biomedical engineering · 2019
    Article
  6. Article
  7. Targeted Versus Continuous Delivery of Volatile Anesthetics During Cholinergic Bronchoconstriction.Journal of engineering and science in medical diagnostics and therapy · 2018
    Article
  8. Article
  9. Article
  10. Article
  11. 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

2 authors.

David W KaczkaHarvard Medical School, Boston, MA, USA. dkaczka@bidmc.harvard.edu
Jennifer L Smallwood

Funding

Optimizing Mechanical Ventilation in Acute Lung InjuryK08HL089227 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI KACZKA, DAVID W. · 2008 to 2011
$531k
NHLBI NIH HHS HL089227NHLBI NIH HHS K08 HL089227
6 · The paper itself

Abstract

The dynamic mechanical properties of the respiratory system reflect the ensemble behavior of its constituent structural elements. This study assessed the appropriateness of constant-phase descriptions of respiratory tissue viscoelasticity at various distending pressures. We measured the mechanical input impedance (Z) of the lungs, chest wall and total respiratory system in 12 dogs at mean airway pressures from 5 to 30 cm H(2)O. Each Z was fitted with a constant-phase model which provided estimates tissue damping (G), elastance (H), and hysteresivity (η=G/H). Both G and H sharply increased with increasing distending pressure for the lungs and chest wall, while η attained a minimum near 15-20 cm H(2)O. Model fitting errors for the lungs and total respiratory system increased for distending pressures greater than 20 cm H(2)O, indicating that constant-phase descriptions of parenchymal and respiratory system viscoelasticty may be inappropriate at volumes closer to total lung capacity. Such behavior may reflect alterations in load distribution across various parenchymal stress-bearing elements.

Indexed as

Respiratory Physiological PhenomenaAirway ResistanceAnimalsDogsElasticityLungModels, BiologicalPressureThoracic WallTotal Lung Capacity

Identifiers

PMID22691447
PMCPMC3409308

What OpenQuestion holds

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Registered trials

None linked

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.