Evidence map›Paper›PMID 24427517›Full record

ArticleInterface focus2013

Multi-scale computational models of the airways to unravel the pathophysiological mechanisms in asthma and chronic obstructive pulmonary disease (AirPROM).

K S Burrowes, J De Backer, R Smallwood, P J Sterk, I Gut, R Wirix-Speetjens, S Siddiqui, J Owers-Bradley, J Wild, D Maier and 1 more

Abstract read
In one paragraph

Article in Interface focus, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Computational fluid dynamics of the airways after left-upper pulmonary lobectomy: A case study.International journal for numerical methods in biomedical engineering · 2021
    Article
  3. Article
  4. Article
  5. Personalized medicine for patients with COPD: where are we?International journal of chronic obstructive pulmonary disease · 2019
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Systems Biology and Clinical Practice in Respiratory Medicine. The Twain Shall Meet.American journal of respiratory and critical care medicine · 2016
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

11 authors.

K S BurrowesDepartment of Computer Science , University of Oxford , Parks Road, Oxford OX1 3QD , UK.
J De BackerFluidDA N.V. , Kontich , Belgium.
R SmallwoodKroto Research Institute , University of Sheffield , Sheffield , UK.
P J SterkAcademic Medical Centre , University of Amsterdam , Amsterdam , The Netherlands.
I GutCentro Nacional de Analysis Genómica, Fundacio Privada Parc Cientific de Barcelona , Barcelona , Spain.
R Wirix-SpeetjensMaterialise N.V. , Leuven , Belgium.
S SiddiquiInstitute for Lung Health , University of Leicester , Leicester , UK.
J Owers-BradleySchool of Physics and Astronomy, University of Nottingham , Nottingham , UK.
J WildUnit of Academic Radiology , University of Sheffield , Sheffield , UK.
D MaierBiomax Informatics AG , Munich , Germany.
C BrightlingInstitute for Lung Health , University of Leicester , Leicester , UK.

Funding

Department of Health 852Department of Health NIHR-RP-R3-12-027
6 · The paper itself

Abstract

the respiratory system comprises several scales of biological complexitythe genes, cells and tissues that work in concert to generate resultant function. Malfunctions of the structure or function of components at any spatial scale can result in diseases, to the detriment of gas exchange, right heart function and patient quality of life. Vast amounts of data emerge from studies across each of the biological scales; however, the question remains: how can we integrate and interpret these data in a meaningful way? Respiratory disease presents a huge health and economic burden, with the diseases asthma and chronic obstructive pulmonary disease (COPD) affecting over 500 million people worldwide. Current therapies are inadequate owing to our incomplete understanding of the disease pathophysiology and our lack of recognition of the enormous disease heterogeneity: we need to characterize this heterogeneity on a patient-specific basis to advance healthcare. In an effort to achieve this goal, the AirPROM consortium (Airway disease Predicting Outcomes through patient-specific computational Modelling) brings together a multi-disciplinary team and a wealth of clinical data. Together we are developing an integrated multi-scale model of the airways in order to unravel the complex pathophysiological mechanisms occurring in the diseases asthma and COPD.

Indexed as

asthmachronic obstructive pulmonary diseasecomputational modelling

Identifiers

PMID24427517
PMCPMC3638469

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.