Evidence map›Paper›PMID 34070316›Full record

ReviewGenes2021

Biomarkers in Different Asthma Phenotypes.

Sanja Popović-Grle, Anamarija Štajduhar, Marina Lampalo, Dina Rnjak

Abstract readReview
In one paragraph

Review in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. CDC167 exhibits potential as a biomarker for airway inflammation in asthma.Mammalian genome : official journal of the International Mammalian Genome Society · 2024
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  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.

Sanja Popović-GrleThe Clinic for Lung Diseases Jordanovac, University Hospital Centre Zagreb, Jordanovac 104, 10 000 Zagreb, Croatia.ORCID 0000-0003-2513-9079
Anamarija ŠtajduharThe Clinic for Lung Diseases Jordanovac, University Hospital Centre Zagreb, Jordanovac 104, 10 000 Zagreb, Croatia.
Marina LampaloThe Clinic for Lung Diseases Jordanovac, University Hospital Centre Zagreb, Jordanovac 104, 10 000 Zagreb, Croatia.
Dina RnjakThe Clinic for Lung Diseases Jordanovac, University Hospital Centre Zagreb, Jordanovac 104, 10 000 Zagreb, Croatia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma is the most common respiratory disease. It has multiple phenotypes thatcan be partially differentiated by measuring the disease's specific characteristics-biomarkers. The pathogenetic mechanisms are complex, and it is still a challenge to choose suitable biomarkers to adequately stratify patients, which became especially important with the introduction of biologicals in asthma treatment. Usage of biomarkers and an understanding of the underlying pathobiological mechanisms lead to the definition of endotypes. Asthma can be broadly divided into two endotypes, T2-high and T2-low. The right combination of various biomarkers in different phenotypes is under investigation, hoping to help researchers and clinicians in better disease evaluation since theindividual approach and personalized medicine are imperative. Multiple biomarkers are superior to a single biomarker.

Indexed as

AsthmaBiomarkersHumansPhenotypeSputumBiomarkersasthma phenotypebiomarkersclusterseosinophils

Identifiers

PMID34070316
PMCPMC8226821

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.