Evidence map›Paper›PMID 28233153›Full record

ReviewCurrent allergy and asthma reports2017

Phenotype-Driven Therapeutics in Severe Asthma.

Maria Theresa D Opina, Wendy C Moore

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current allergy and asthma reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 42 citations in OpenAlex.

  1. Trial
  2. Very Poorly Controlled Asthma in Urban Minority Children: Lessons Learned.The journal of allergy and clinical immunology. In practice
    Trial
  3. Machine learning-derived clinical phenotypes of ascites in cirrhosis: A multi-center latent class analysis with external validation.Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society · 2026
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. miR-135a inhibits airway inflammatory response in asthmatic mice via regulating JAK/STAT signaling pathway.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2021
    Article
  13. Article
  14. Article
  15. The Effects of Obesity in Asthma.Current allergy and asthma reports · 2019
    Review
  16. Severe T2-high asthma in the biologics era: European experts' opinion.European respiratory review : an official journal of the European Respiratory Society · 2019
    Review
  17. Article
  18. Article
  19. Severe Asthma Phenotypes - How Should They Guide Evaluation and Treatment?The journal of allergy and clinical immunology. In practice
    Review
  20. 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

2 authors at 1 institution in 1 country.

Maria Theresa D OpinaDepartment of Pulmonary, Critical Care, Allergy, and Immunologic Diseases, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA.
Wendy C MooreDepartment of Pulmonary, Critical Care, Allergy, and Immunologic Diseases, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA. wmoore@wakehealth.edu.
Wake Forest University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inhaled corticosteroids are the mainstay of asthma treatment using a step-up approach with incremental dosing and additional controller medications in order to achieve symptom control and prevent exacerbations. While most patients respond well to this treatment approach, some patients remain refractory despite high doses of inhaled corticosteroids and a long-acting β-agonist. The problem lies in the heterogeneity of severe asthma, which is further supported by the emergence of severe asthma phenotypes. This heterogeneity contributes to the variability in treatment response. Randomized controlled trials involving add-on therapies in poorly controlled asthma have challenged the idea of a "one size fits all" approach targeting specific phenotypes in their subject selection. This review discusses severe asthma phenotypes from unbiased clustering approaches and the most recent scientific evidence on novel treatments to provide a guide in personalizing severe asthma treatment.

Indexed as

Administration, InhalationAdrenal Cortex HormonesAnti-Asthmatic AgentsAsthmaHumansPhenotypePrecision MedicineRandomized Controlled Trials as TopicAdrenal Cortex HormonesAnti-Asthmatic AgentsAsthma exacerbationsBiologicsBiomarkersPersonalized medicinePhenotypesSevere asthma

Identifiers

PMID28233153
OpenAlexW2591190535

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.