Evidence map›Paper›PMID 29650561›Full record

SynthesisThe European respiratory journal2018

Meta-analysis of airway epithelium gene expression in asthma.

Yi-Hsuan Tsai, Joel S Parker, Ivana V Yang, Samir N P Kelada

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in The European respiratory journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
1.6field-weighted citation impact, top 17% 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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it, 58 citations in OpenAlex.

  1. Sex-biased Gene Expression Underlies Immune Dysfunction in Asthma.American journal of respiratory cell and molecular biology · 2025
    Pooled it
  2. Long-Term PMAnnals of the American Thoracic Society · 2025
    Pooled it
  3. Pooled it
  4. Article
  5. Upper and Lower Respiratory Tract Compartmentalization in Pediatric Stem Cell Transplantation.American journal of respiratory cell and molecular biology · 2026
    Article
  6. Article
  7. Article
  8. Airway epithelial heterogeneity and mucus plugging in asthmatic bronchioles.American journal of respiratory and critical care medicine · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Blood transcriptome differentiates clinical clusters for asthma.The World Allergy Organization journal · 2024
    Article
  18. Article
  19. Review
  20. 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

4 authors at 2 institutions in 1 country.

Yi-Hsuan TsaiLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA.
Joel S ParkerLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA.
Ivana V YangDept of Medicine, University of Colorado, Aurora, CO, USA.
Samir N P KeladaDept of Genetics, University of North Carolina, Chapel Hill, NC, USA.ORCID 0000-0003-2676-9232
University of North Carolina at Chapel Hill · USUniversity of Colorado Anschutz Medical Campus · US

Funding

Systems-level transcriptomic analyses to Identify mouse models of asthmaR01HL122711 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KELADA, SAMIR · 2015 to 2018
$2.0M
NHLBI NIH HHS R01 HL122711
6 · The paper itself

Abstract

Differential gene expression in the airway epithelium of patients with asthma

Indexed as

Gene ExpressionAsthmaBronchiCase-Control StudiesGene Expression ProfilingGene Regulatory NetworksHumansNasal Mucosa

Identifiers

PMID29650561
PMCPMC7395676
OpenAlexW2798144592

What OpenQuestion holds

Textmetadata
LicenceTDM
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.