Evidence map›Paper›PMID 26430184›Full record

ReviewClinical medicine (London, England)2015

Drug therapies in severe asthma - the era of stratified medicine.

Kathy J Hetherington, Liam G Heaney

Open access · diamondAbstract readReview
In one paragraph

Review in Clinical medicine (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. The prostaglandin DRespiratory research · 2018
    Review
  5. Precision medicine in idiopathic pulmonary fibrosis.QJM : monthly journal of the Association of Physicians · 2016
    Review
  6. 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 at 1 institution in 1 country.

Kathy J HetheringtonCentre for Infection and Immunity, Health Sciences Building, Belfast, UK.
Liam G HeaneyCentre for Infection and Immunity, Health Sciences Building, Belfast, UK l.heaney@qub.ac.uk.
Centre for Immunity, Infection and Evolution · GB

Funding

Medical Research Council MR/M016579/1
6 · The paper itself

Abstract

Difficult-to-treat asthma affects up to 20% of patients with asthma and is associated with significant healthcare cost. It is an umbrella term that defines a heterogeneous clinical problem including incorrect diagnosis, comorbid conditions and treatment non-adherence; when these are effectively addressed, good symptom control is frequently achieved. However, in 3-5% of adults with difficult-to-treat asthma, the problem is severe disease that is unresponsive to currently available treatments. Current treatment guidelines advise the 'stepwise' increase of corticosteroids, but it is now recognised that many aspects of asthma are not corticosteroid responsive, and that this 'one size fits all' approach does not deliver clinical benefit in many patients and can also lead to side effects. The future of management of severe asthma will involve optimisation with currently available treatments, particularly corticosteroids, including addressing non-adherence and defining an 'optimised' corticosteroid dose, allied with the use of 'add-on' target-specific novel treatments. This review examines the current status of novel treatments and research efforts to identify novel targets in the era of stratified medicines in severe asthma.

Indexed as

Adrenal Cortex HormonesAdultAsthmaComorbidityHumansPrecision MedicineAdrenal Cortex Hormonespersonalised medicineSevere asthmastratified medicine

Identifiers

PMID26430184
PMCPMC4953230
OpenAlexW2185237621

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.