Evidence map›Paper›PMID 27556336›Full record

ArticleAmerican journal of respiratory and critical care medicine2016

Systems Biology and Clinical Practice in Respiratory Medicine. The Twain Shall Meet.

Cindy Thamrin, Urs Frey, David A Kaminsky, Helen K Reddel, Andrew J E Seely, Béla Suki, Peter J Sterk

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of respiratory and critical care medicine, 2016. 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
5.3field-weighted citation impact, top 4% of its field
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, 52 citations in OpenAlex.

  1. Article
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  9. Article
  10. Reduced expiratory variability index (EVI) is associated with controller medication withdrawal and symptoms in wheezy children aged 1-5 years.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2020
    Article
  11. Article
  12. Observational
  13. Dismantling airway disease with the use of new pulmonary function indices.European respiratory review : an official journal of the European Respiratory Society · 2019
    Review
  14. Article
  15. Article
  16. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 6 institutions in 5 countries.

Cindy Thamrin1 Woolcock Institute of Medical Research, University of Sydney, Sydney, New South Wales, Australia.
Urs Frey2 University Children's Hospital Basel, Basel, Switzerland.
David A Kaminsky3 University of Vermont College of Medicine, Burlington, Vermont.
Helen K Reddel1 Woolcock Institute of Medical Research, University of Sydney, Sydney, New South Wales, Australia.
Andrew J E Seely4 Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontario, Canada.
Béla Suki5 Department of Biomedical Engineering, Boston University, Boston, Massachusetts; and.
Peter J Sterk6 Academic Medical Centre, University of Amsterdam, Amsterdam, the Netherlands.
The University of Sydney · AUBoston University · USUniversity Children’s Hospital Basel · CHUniversity of Amsterdam · NLUniversity of Ottawa · CAUniversity of Vermont · US

Funding

Pulmonary arterial endothelial stiffness and shear-stress induced signalingR21HL126040 · NHLBI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI SUKI, BELA · 2015 to 2016
$451k
NHLBI NIH HHS R21 HL126040
6 · The paper itself

Abstract

Respiratory diseases are highly complex, being driven by host-environment interactions and manifested by inflammatory, structural, and functional abnormalities that vary over time. Traditional reductionist approaches have contributed vastly to our knowledge of biological systems in health and disease to date; however, they are insufficient to provide an understanding of the behavior of the system as a whole. In this Pulmonary Perspective, we discuss systems biology approaches, especially but not limited to the study of the lung as a complex system. Such integrative approaches take into account the large number of dynamic subunits and their interactions found in biological systems. Borrowing methods from physics and mathematics, it is possible to study the collective behavior of these systems over time and in a multidimensional manner. We first examine the physiological basis for complexity in the respiratory system and its implications for disease. We then expand on the potential applications of systems biology methods to study complex systems, within the context of diagnosis and monitoring of respiratory diseases including asthma, chronic obstructive pulmonary disease (COPD), and critical illness. We summarize the significant advances made in recent years using systems approaches for disease phenotyping, applied to data ranging from the molecular to clinical level, obtained from large-scale asthma and COPD networks. We describe new studies using temporal complexity patterns to characterize asthma and COPD and predict exacerbations as well as predict adverse outcomes in critical care. We highlight new methods that are emerging with this approach and discuss remaining questions that merit greater attention in the field.

Indexed as

Pulmonary MedicineSystems BiologyAdultAsthmaChildHumansIntensive Care UnitsLungMonitoring, PhysiologicPhenotypePulmonary Disease, Chronic ObstructiveRespiratory Function TestsRespiratory Tract Diseasesbiomarkerscomplex systemsdiagnosislung functionmonitoring

Identifiers

PMID27556336
PMCPMC5114447
OpenAlexW2508516652

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.