ArticleJournal of applied physiology (Bethesda, Md. : 1985)2019
1D network simulations for evaluating regional flow and pressure distributions in healthy and asthmatic human lungs.
Article in Journal of applied physiology (Bethesda, Md. : 1985), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- Human lungs fluid mechanics: an overview of current modelling techniques.The European physical journal. E, Soft matter · 2026Review
- Multiscale simulation of respiratory airflow using physiologically consistent geometry and boundary conditions in OpenFOAM.Computers in biology and medicine · 2025Article
- Subject-Specific Multi-Scale Modeling of the Fate of Inhaled Aerosols.Journal of aerosol science · 2025Article
- Forward Computational Modeling of Respiratory Airflow.Applied sciences (Basel, Switzerland) · 2024Article
- BranchLabelNet: Anatomical Human Airway Labeling Approach using a Dividing-and-Grouping Multi-Label Classification.Medical & biological engineering & computing · 2024Article
- Modeling Realistic Geometries in Human Intrathoracic Airways.Diagnostics (Basel, Switzerland) · 2024Review
- The effects of airway disease on the deposition of inhaled drugs.Expert opinion on drug delivery · 2024Review
- Investigating distributions of inhaled aerosols in the lungs of post-COVID-19 clusters through a unified imaging and modeling approach.European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2024Article
- A computed tomography imaging-based subject-specific whole-lung deposition model.European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2022Article
- Towards a multi-scale computer modeling workflow for simulation of pulmonary ventilation in advanced COVID-19.Computers in biology and medicine · 2022Article
- Origins of and lessons from quantitative functional X-ray computed tomography of the lung.The British journal of radiology · 2022Review
- Sound transmission in human thorax through airway insonification: an experimental and computational study with diagnostic applications.Medical & biological engineering & computing · 2020Article
- Transport and deposition of hygroscopic particles in asthmatic subjects with and without airway narrowing.Journal of aerosol science · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
This study aimed to introduce a one-dimensional (1D) computational fluid dynamics (CFD) model for airway resistance and lung compliance to examine the relationship between airway resistance, pressure, and regional flow distribution. We employed five healthy and five asthmatic subjects who had dynamic computed tomography (CT) scans (4D CT) along with two static scans at total lung capacity and functional residual capacity. Fractional air-volume change (
Indexed as
Identifiers
What OpenQuestion holds
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.