ArticleCritical reviews in biomedical engineering2011
Computational modeling of airway and pulmonary vascular structure and function: development of a "lung physiome".
Article in Critical reviews in biomedical engineering, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Predictive Design and Analysis of Drug Transport by Multiscale Computational Models Under Uncertainty.Pharmaceutical research · 2023Review
- Modeling the influence of gravity and the mechanical properties of elastin and collagen fibers on alveolar and lung pressure-volume curves.Scientific reports · 2022Article
- The Mechanobiology of Vascular Remodeling in the Aging Lung.Physiology (Bethesda, Md.) · 2022Review
- AVATREE: An open-source computational modelling framework modelling Anatomically Valid Airway TREE conformations.PloS one · 2020Article
- Roadmap for cardiovascular circulation model.The Journal of physiology · 2016Article
- A computational model of invasive aspergillosis in the lung and the role of iron.BMC systems biology · 2016Article
- A physiome interoperability roadmap for personalized drug development.Interface focus · 2016Article
- Coming to terms with tissue engineering and regenerative medicine in the lung.American journal of physiology. Lung cellular and molecular physiology · 2015Review
- Moving H5N1 studies into the era of systems biology.Virus research · 2013Review
- Considerations for numerical modeling of the pulmonary circulation--a review with a focus on pulmonary hypertension.Journal of biomechanical engineering · 2013Review
- Multi-scale computational models of the airways to unravel the pathophysiological mechanisms in asthma and chronic obstructive pulmonary disease (AirPROM).Interface focus · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Computational models of lung structure and function necessarily span multiple spatial and temporal scales, i.e., dynamic molecular interactions give rise to whole organ function, and the link between these scales cannot be fully understood if only molecular or organ-level function is considered. Here, we review progress in constructing multiscale finite element models of lung structure and function that are aimed at providing a computational framework for bridging the spatial scales from molecular to whole organ. These include structural models of the intact lung, embedded models of the pulmonary airways that couple to model lung tissue, and models of the pulmonary vasculature that account for distinct structural differences at the extra- and intra-acinar levels. Biophysically based functional models for tissue deformation, pulmonary blood flow, and airway bronchoconstriction are also described. The development of these advanced multiscale models has led to a better understanding of complex physiological mechanisms that govern regional lung perfusion and emergent heterogeneity during bronchoconstriction.
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.