Evidence map›Paper›PMID 23762888›Full record

ReviewCanadian respiratory journal

Biomarkers in airway diseases.

Janice M Leung, Don D Sin

Abstract readReview
In one paragraph

Review in Canadian respiratory journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Early chronic obstructive pulmonary disease: A new perspective.Chronic diseases and translational medicine · 2021
    Review
  3. Asthma-COPD overlap: current understanding and the utility of experimental models.European respiratory review : an official journal of the European Respiratory Society · 2021
    Review
  4. Review
  5. Article
  6. Article
  7. Chlorpyrifos exposure and respiratory health among adolescent agricultural workers.International journal of environmental research and public health · 2014
    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

2 authors.

Janice M LeungCritical Care Medicine Department, National Institute of Health, Bethesda, Maryland 20892, USA. janice.leung@nih.gov
Don D Sin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The inherent limitations of spirometry and clinical history have prompted clinicians and scientists to search for surrogate markers of airway diseases. Although few biomarkers have been widely accepted into the clinical armamentarium, the authors explore three sources of biomarkers that have shown promise as indicators of disease severity and treatment response. In asthma, exhaled nitric oxide measurements can predict steroid responsiveness and sputum eosinophil counts have been used to titrate anti-inflammatory therapies. In chronic obstructive pulmonary disease, inflammatory plasma biomarkers, such as fibrinogen, club cell secretory protein-16 and surfactant protein D, can denote greater severity and predict the risk of exacerbations. While the multitude of disease phenotypes in respiratory medicine make biomarker development especially challenging, these three may soon play key roles in the diagnosis and management of airway diseases.

Indexed as

Disease ManagementSeverity of Illness IndexAsthmaBiomarkersEosinophilsFibrinogenHumansNitric OxidePulmonary Disease, Chronic ObstructivePulmonary Surfactant-Associated Protein DTreatment OutcomeBiomarkersFibrinogenNitric OxidePulmonary Surfactant-Associated Protein D

Identifiers

PMID23762888
PMCPMC3814266

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.