Evidence map›Paper›PMID 19386108›Full record

ReviewRespiratory research2009

Systems biology coupled with label-free high-throughput detection as a novel approach for diagnosis of chronic obstructive pulmonary disease.

Joanna L Richens, Richard A Urbanowicz, Elizabeth A M Lunt, Rebecca Metcalf, Jonathan Corne, Lucy Fairclough, Paul O'Shea

Abstract readReview
In one paragraph

Review in Respiratory research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Fluctuation Analysis of Peak Expiratory Flow and Its Association with Treatment Failure in Asthma.American journal of respiratory and critical care medicine · 2017
    Trial
  2. Protein networks in induced sputum from smokers and COPD patients.International journal of chronic obstructive pulmonary disease · 2015
    Article
  3. Review
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

7 authors.

Joanna L RichensCell Biophysics Group, School of Biology, The University of Nottingham, NG7 2RD, UK. joanna.richens@nottingham.ac.uk
Richard A Urbanowicz
Elizabeth A M Lunt
Rebecca Metcalf
Jonathan Corne
Lucy Fairclough
Paul O'Shea

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic obstructive pulmonary disease (COPD) is a treatable and preventable disease state, characterised by progressive airflow limitation that is not fully reversible. Although COPD is primarily a disease of the lungs there is now an appreciation that many of the manifestations of disease are outside the lung, leading to the notion that COPD is a systemic disease. Currently, diagnosis of COPD relies on largely descriptive measures to enable classification, such as symptoms and lung function. Here the limitations of existing diagnostic strategies of COPD are discussed and systems biology approaches to diagnosis that build upon current molecular knowledge of the disease are described. These approaches rely on new 'label-free' sensing technologies, such as high-throughput surface plasmon resonance (SPR), that we also describe.

Indexed as

AlgorithmsBiomarkersBiosensing TechniquesDiagnosis, Computer-AssistedGene Expression ProfilingHumansProteomePulmonary Disease, Chronic ObstructiveStaining and LabelingSurface Plasmon ResonanceSystems BiologyBiomarkersProteome

Identifiers

PMID19386108
PMCPMC2678087

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.