Evidence map›Paper›PMID 29700091›Full record

ReviewClinical medicine (London, England)2018

Diagnosis and treatment of severe asthma: a phenotype-based approach.

Thomas L Jones, Daniel M Neville, Anoop J Chauhan

Open access · diamondAbstract readReview
In one paragraph

Review in Clinical medicine (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 95 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. AI-Driven Data Analysis for Asthma Risk Prediction.Healthcare (Basel, Switzerland) · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Drug design, development and therapy · 2025
    Article
  17. 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

3 authors at 1 institution in 1 country.

Thomas L JonesDepartment of Respiratory Medicine, Portsmouth Hospitals NHS Trust, Portsmouth, UK Tom.jones@doctors.org.uk.
Daniel M NevilleDepartment of Respiratory Medicine, Portsmouth Hospitals NHS Trust, Portsmouth, UK.
Anoop J ChauhanDepartment of Respiratory Medicine, Portsmouth Hospitals NHS Trust, Portsmouth, UK.
Portsmouth Hospitals NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe asthma is a heterogeneous and often difficult to treat condition that results in a disproportionate cost to healthcare systems. Appropriate diagnosis and management of severe asthma is critical, as most asthma deaths have been retrospectively identified as having poorly recognised severe asthma. With multiple biologic agents becoming available, it is crucial to correctly phenotype patients in order to identify those that will respond to these high-cost treatments. We provide an overview of the assessment, phenotyping and management of severe asthma in primary and secondary care.

Indexed as

AsthmaAmbulatory Care FacilitiesHumansPhenotypePrimary Health CareAssessmentasthmaphenotypingtreatment

Identifiers

PMID29700091
PMCPMC6334025
OpenAlexW2802456884

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.